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Despite a large number of available techniques around Deep Learning in Natural Language Processing (NLP), no holistic framework exists which supports researchers and practitioners to organise knowledge when designing, comparing and evaluating NLP applications. This paper addresses this lack of a holistic framework by developing a taxonomy for Deep Learning in Natural Language Processing. Based on a systematic literature review as proposed by Webster and Watson [1] and vom Brocke et al. [2] and the iterative taxonomy development process of Nickerson et al. [3] we derived five novel dimensions and 38 characteristics based on a sample of 205 papers. Our research suggests, that a Deep Learning NLP approach can be distinguished by five dimensions which were partly derived from the CRISP-DM methodology: application understanding, data preparation, modeling, learning technique and evaluation. We, therefore, hope to provide guidance and support for researchers and practitioners when using Deep Learning for NLP to design, compare and evaluate NLP applications.

In the last decade, artificial intelligence and machine learning algorithms have been more and more established for the screening and detection of diseases and pathologies, as well as for describing interactions between measures where classical methods are too complex or fail. The purpose of this paper is to model the measured postoperative position of an intraocular lens implant after cataract surgery, based on preoperatively assessed biometric effect sizes using techniques of machine learning.In this study, we enrolled 249 eyes of patients who underwent elective cataract surgery at Augenklinik Castrop-Rauxel. Eyes were measured preoperatively with the IOLMaster 700 (Carl Zeiss Meditec), as well as preoperatively and postoperatively with the Casia 2 OCT (Tomey). Based on preoperative effect sizes axial length, corneal thickness, internal anterior chamber depth, thickness of the crystalline lens, mean corneal radius and corneal diameter a selection of 17 machine learning algorithms were tested for prediction performance for calculation of internal anterior chamber depth (AQD_post) and axial position of equatorial plane of the lens in the pseudophakic eye (LEQ_post).The 17 machine learning algorithms (out of 4 families) varied in root mean squared/mean absolute prediction error between 0.187/0.139 mm and 0.255/0.204 mm (AQD_post) and 0.183/0.135 mm and 0.253/0.206 mm (LEQ_post), using 5-fold cross validation techniques. The Gaussian Process Regression Model using an exponential kernel showed the best performance in terms of root mean squared error for prediction of AQDpost and LEQpost. If the entire dataset is used (without splitting for training and validation data), comparison of a simple multivariate linear regression model vs. the algorithm with the best performance showed a root mean squared prediction error for AQD_post/LEQ_post with 0.188/0.187 mm vs. the best performance Gaussian Process Regression Model with 0.166/0.159 mm.In this paper we wanted to show the principles of supervised machine learning applied to prediction of the measured physical postoperative axial position of the intraocular lenses. Based on our limited data pool and the algorithms used in our setting, the benefit of machine learning algorithms seems to be limited compared to a standard multivariate regression model.In den vergangenen Jahren wurden zunehmend Systeme der künstlichen Intelligenz in der Medizin etabliert, die Pathologien oder Erkrankungen erkennen und schwer zu erfassende Zusammenhänge zwischen Eingangsgrößen beschreiben sollen. Ziel der Studie ist es, anhand von biometrischen Messgrößen vor der Kataraktoperation die physikalische Position der Intraokularlinse nach der Operation mit Verfahren des maschinellen Lernens vorherzusagen.249 Augen von Patienten, die sich zur elektiven Kataraktoperation an der Augenklinik Castrop-Rauxel vorstellten, wurden mit dem IOLMaster 700 (Carl Zeiss Meditec) und vor sowie nach der Operation mit dem Casia 2 (Tomey) untersucht. Aus den Effektgrößen Augenlänge, Hornhautdicke, interne Vorderkammertiefe, Linsendicke, mittlerer Hornhautradius und Hornhautdurchmesser wurde eine Auswahl von 17 Algorithmen des Maschinenlernens auf ihre Vorhersagequalität hin getestet für die Bestimmung der postoperativen internen Vorderkammertiefe (AQD_post) und der Lage des Linsenäquators relativ zum Hornhautscheitel (LEQ_post).Die 17 Modelle (4 Algorithmusfamilien) variierten im mittleren quadratischen/mittleren absoluten Vorhersagefehler zwischen 0,187/0,139 mm und 0,255/0,204 mm (AQD_post) und 0,183/0,135 mm und 0,253/0,206 mm (LEQ_post) bei einer Kreuzvalidierung (5-fold cross validation). Der Algorithmus mit der besten Performance war bei beiden Vorhersagen ein Gaussian Process Regression Model mit einem exponentiellen Kernel. Prüft man am gesamten Datensatz (ohne Aufteilung in Trainings- und Validierungsdaten) ein einfaches multiples lineares Regressionsmodell gegen den Algorithmus mit der besten Performance, so ergibt sich bei der Vorhersage von AQD_post/LEQ_post ein mittlerer quadratischer Vorhersagefehler von 0,188/0,187 mm gegenüber dem Gaussian Process Regression Model mit 0,166/0,159 mm.In der Arbeit soll das Prinzip des überwachten Maschinenlernens in der Anwendung auf die Nachbildung der physikalisch gemessenen postoperativen axialen Position von Intraokularlinsen gezeigt werden. Bei den vorliegenden Daten ist der Gewinn durch die Verwendung von Algorithmen des maschinellen Lernens (bei den hier verwendeten Algorithmen) gegenüber einem multiplen linearen Regressionsansatz gering.

Hardening is the process of configuring IT systems to ensure the security of the systems' components and data they process or store. The complexity of contemporary IT infrastructures, however, renders manual security hardening and maintenance a daunting task. In many organizations, security-configuration guides expressed in the SCAP (Security Content Automation Protocol) are used as a basis for hardening, but these guides by themselves provide no means for automatically implementing the required configurations. In this paper, we propose an approach to automatically extract the relevant information from publicly available security-configuration guides for Windows operating systems using natural language processing. In a second step, the extracted information is verified using the information of available settings stored in the Windows Administrative Template files, in which the majority of Windows configuration settings is defined. We show that our implementation of this approach can extract and implement 83% of the rules without any manual effort and 96% with minimal manual effort. Furthermore, we conduct a study with 12 state-of-the-art guides consisting of 2014 rules with automatic checks and show that our tooling can implement at least 97% of them correctly. We have thus significantly reduced the effort of securing systems based on existing security-configuration guides. In many organizations, security-configuration guides expressed in the SCAP (Security Content Automation Protocol) are used as a basis for hardening, but these guides by themselves provide no means for automatically implementing the required configurations. In this paper, we propose an approach to automatically extract the relevant information from publicly available security-configuration guides for Windows operating systems using natural language processing. In a second step, the extracted information is verified using the information of available settings stored in the Windows Administrative Template files, in which the majority of Windows configuration settings is defined. We show that our implementation of this approach can extract and implement 83% of the rules without any manual effort and 96% with minimal manual effort. Furthermore, we conduct a study with 12 state-of-the-art guides consisting of 2014 rules with automatic checks and show that our tooling can implement at least 97% of them correctly. We have thus significantly reduced the effort of securing systems based on existing security-configuration guides. In this paper, we propose an approach to automatically extract the relevant information from publicly available security-configuration guides for Windows operating systems using natural language processing. In a second step, the extracted information is verified using the information of available settings stored in the Windows Administrative Template files, in which the majority of Windows configuration settings is defined. We show that our implementation of this approach can extract and implement 83% of the rules without any manual effort and 96% with minimal manual effort. Furthermore, we conduct a study with 12 state-of-the-art guides consisting of 2014 rules with automatic checks and show that our tooling can implement at least 97% of them correctly. We have thus significantly reduced the effort of securing systems based on existing security-configuration guides. We show that our implementation of this approach can extract and implement 83% of the rules without any manual effort and 96% with minimal manual effort. Furthermore, we conduct a study with 12 state-of-the-art guides consisting of 2014 rules with automatic checks and show that our tooling can implement at least 97% of them correctly. We have thus significantly reduced the effort of securing systems based on existing security-configuration guides.

International audience; Satellite Image Time Series (SITS) are large datasets containing spatiotemporal information about the surface of the Earth. In order to exploit the potential of such series, SITS analysis techniques have been designed for various applications such as earthquake monitoring, urban expansion assessment or glacier dynamic analysis. In this paper, we present an unsupervised technique for browsing SITS in preliminary explorations, before deciding whether to start deeper and more time consuming analyses. Such methods are lacking in today’s analyst toolbox, especially when it comes to stimulating the reuse of the ever growing list of available SITS. The method presented in this paper builds a summary of a SITS in the form of a set of maps depicting spatiotemporal phenomena. These maps are selected using an entropy-based ranking and a swap randomization technique. The approach is general and can handle either optical or radar SITS. As illustrated on both kinds of SITS, meaningful summaries capturing crustal deformation and environmental phenomena are produced. They can be computed on demand or precomputed once and stored together with the SITS for further usage.

The syntactic parser ARTEMIS (Automatically Representing Text Meaning via an Interlingua-based System) is a prototype intended to process natural language within the environment of the Functional Grammar Knowledge Base (FunGramKB) (Perinan-Pascual & Arcas-Tunez, 2010). Different from other parsing devices, ARTEMIS is grounded on two functional linguistic models: Role and Reference Grammar (RRG) (Van Valin & La Polla, 1997; Van Valin, 2005) and the Lexical Constructional Model (LCM) (Ruiz de Mendoza & Mairal Uson, 2008). However, certain adjustments have to be made to both models in order to meet the requirements derived from the fact that ARTEMIS follows the paradigm of Unification Grammars, in such a way that to comply with this paradigm, the GDE (Grammar Development Environment) within ARTEMIS needs to integrate two types of constructs: a catalogue of Attribute-Value Matrixes (AVMs) to describe grammatical units, and a set of production rules (grammatical, lexical and constructional) to allow it to produce a feature based grammar. It is the aim of this paper to give an overview of the investigation carried out so far within ARTEMIS in relation to these two aspects. We will do so by revisiting the literature in relation to the adjustments made to the linguistic models, especially to the RRG, and by reviewing the efforts made to describe the units and design the rules necessary for the parsing of simple sentences in English. Our paper will conclude by pointing at prospective research needed for the completion of this project.

Expression of time is an important field in linguistic research. In Lithuanian linguistics, the study of time has focused first and foremost on tense and aspect systems. Therefore, Lithuanian language has developed a big diversity of means to encode time, e.g. noun cases ( vasarą ‘in summer’) and noun phrases ( liepos vakarą ‘in July evening’), prepositional phrases ( po darbo ‘after work’), adverbs ( netrukus ‘soon’), subordinate clauses ( kai nustos lyti ‘when it stops raining’). All of them despite their different grammatical status are suggested to be called temporal adverbials. ‘Adverbial’ is a quite new notion in Lithuanian linguistics, it was first presented in the studies of stance adverbials but is also convenient in the field of linguistic expression of time. The purpose of the paper is to demonstrate the necessity of distinguishing a semantic-functional class of temporal adverbials in Lithuanian linguistics and to show their position in the system of means that encode time. The second part of the paper presents a few semantic models of the temporal adverbials made by foreign linguists and the semantic research of Lithuanian temporal means that should be regarded as temporal adverbials. Keywords: linguistic expression of time; temporal adverbial; adverb; tense; aspect; lexical aspect; deixis of time DOI: http://dx.doi.org/10.15388/Lietkalb.2016.10.9923

This paper aims to present a particular role-play technique called radio role-play developed specifically for the use in ELT classrooms. The technique is defined within the context of drama education and language teaching, and characterized in terms of its unique features. Practical examples from teaching practice are provided. Any kind of teaching material (text/recording) can serve as an input for radio role-play. The content is contextualized within the fictional broadcast studio as the students take on roles of a host and their guest(s) ‐ usually characters from the textbook articles, recordings, or any other teaching material. The setting of a radio studio is unique in terms of its close relation to a real studio setting ‐ sitting down at a table, facing the partner, possible use of microphones, jingles, soundscapes, etc. At the same time the setting provides protection, a sense of anonymity and safety, which results in high engagement levels. In practice, the radio role-play is organized as pair or group work, and the tasks are performed simultaneously. The outcomes of preliminary qualitative research (probe) carried out with high-school students aged 17-18 at B2 level are presented. 1 Origins and development This paper aims to present a technique that emerged and evolved from the author’s teaching practice. At the beginning there was an inspiration and personal experience with improvised performances taking place in a fictional radio studio, the idea of which later naturally infiltrated in the author’s English teaching practice. What first was an intuitive experimenting using the general concept was later transformed through reflective practice into a role-play technique presented in this writing. For the purpose of this paper, role-play will be understood as a technique commonlyusedinlanguageteachingtodevelopfluencyandpossiblyspontaneity and expression of emotions (Holden 1981: 1; Maley and Duff 2009: 1-2). Larsen-Freeman (2000: 80; 134) illustrates an effective use of role-play by different EFL methods such as suggestopedia or communicative language teaching throughout the history of English language teaching. In the teaching

In this paper we will investigate the nature of deverbal nominals across languages. Deverbal nouns are typically classified according to their word-formation model: affixation and conver-sion. Our study will compare the word formation of deverbal nominals in Slavic (Croatian, Slovenian and Polish) and Romance languages (Italian, French and Spanish) in order to show (i) that affixation corresponds to a specific mode of morphological operations and (ii) that the differences and similarities between deverbal nominals of these two language families follow from the properties of the base verbs. Furthermore, our analysis will try to shed some light on the distinction between nouns and verbs. The paper comprises three major thematic parts. The first part briefly reviews the basic notions and theoretical assumptions of Generative Grammar regarding word formation. We have especially tried to explain those notions that we draw from Distributed Morphology. This part further exposes the theoretical framework that is used in this paper. In the second part, deverbal nominals in Slavic languages are analysed and de-scribed. We primarily investigate the Slavic languages, since in these languages morphology plays a larger role in the construction of deverbal nouns. The third part contains an investiga-tion of the phrasal structure of nominalizations across the Romance languages. We close the work with a general conclusion about the behaviour of deverbal nouns in these two groups of languages. We concentrate mainly on the differences between the phrasal architecture of nom-inalizations and correspondent verbal constructions.

This paper investigates the effect of mobile payment on the adoption and use of traditional payment instruments such as cash, checks, and credit, debit and prepaid cards at the point of sale (POS). Data are from a 2012 representative survey on consumer payment choice in the United States. Using discrete-choice random utility models to simulate consumer behavior, the estimation provides two major findings. First, mobile payment does not replace physical payment cards, but is likely to substitute for paper-based payment methods such as cash and checks at the adoption stage. Second, mobile payment does not statistically significantly influence the choice of payment means at the POS in terms of usage. However, there is suggestive evidence that it is complementary to card payments and a substitute for paper-based payment instruments. The findings highlight the potential social welfare gains of mobile payment and provide key insights into challenging issues for the private industry sector. This paper furthermore offers novel evidence on the impact of mobile payment on the use and adoption of existing payment instruments and contributes to the literature on consumer payment choice.

With the development of medical technique and computational electromagnetics, high resolution anatomic human models have already been widely developed and used in computation of electromagnetic fields induced in human body. Although these so called voxel-based human models are powerful tools for research on electromagnetic safety, their unchangeable standing posture makes it impossible to simulate a realistic scenario in which people have a lot of different postures. This paper describes a poser program package which was developed as an improved version of the free-from deformation technique to overcome this problem. It can set rotation angles of different human joints and then deform the original human model to make it have different postures. The original whole-body human model can be deformed smoothly, continuity of internal tissues and organs is maintained and the mass of different tissues and organs can be conserved in a reasonable level. As a typical application of the postured human models, this paper also studies the effect of the step voltage due to a lightning strike on the human body. Two voxel-based human body models with standing and walking posture were developed and integrated into simulation models to compute the current density distribution in the human body shocked by the step voltage. In order to speed up the transient simulation, the reduced c technique was used, leading to a speedup factor of around 20. The error introduced by the reduced c technique is discussed and simulation results are presented in detail.

The goal of this paper is to offer a cross-linguistic analysis of the most commonly occurring additive focus adverbs used in Italian, French and English – namely anche, aussi and also – on the basis of a corpus of written texts. The corpus used in this paper consists of comparable online news in Italian, French and English amounting to approximately 750000 words. In line with previous findings, our results show that there are important quantitative and qualitative differences between It. anche, Fr. aussi and E. also. These items differ not only in their overall frequency of use but also in the specific syntactic configurations in which they occur when they associate with the Subject of a canonical sentence. These differences are partly enhanced by the fact that this paper concentrates on a non-prototypical configuration, i. e. on the cases in which the canonical Subject coincides with a new entity while the Predicate is maintained.

Again on numeral-nominal phrases in subject position The paper presents a formal account of sentences with a numeral-nominal subject and an adjectival complement, such as Tych pięciu facetów zostało zabitych ‘These five guys were killed’. The agreements in such sentences are highly idiosyncratic. To cope with them in the framework of a certain formal grammar of Polish, a number of extra means are proposed: special “numeral” realization of the nominal phrase in subject position, special “plural” adjectival complement, special rules that introduce the adjectival phrase in genitive, special valence frames for such strange phrases, and, finally, a special mechanism of interphrasal gender-number agreements. The paper argues for individual treatment of idiosyncrasies, instead of an artificial account in terms of general principles.

Investigating and teaching collocations. The starting point of the paper is the observation that foreign language learners translate collocations literally from their L1. Collocations are conceived here as phrasal units which can be placed between free word groups and idioms. The paper focuses on metaphoric collocations, i.e. with polysemic collocator. In this type of collocation the collocator is used in a metaphoric meaning, while it appears in denotative meaning in free word groups. Contrasting types of collocation are presented in a model. Data from empirical research show that foreign language learners of a certain level regard metaphoric collocations as marked and transfer them less often than non-metaphoric collocations. The paper supports the need for pointing out the significance of collocations even for beginners.

Foreign elements in the Polish lexicon, using the example of Słownik elektroniczny jednostek frazeologicznych (SEJF) ‘Electronic Dictionary of Multi-Word Units’ The paper discusses the presence of foreign phraseological units and of their grammatical features in phraseological dictionaries of general Polish. The author adduces lexicographical descriptions of specific phrasemes from Polish and foreign words dictionaries, and compares them with corpus data. Based on these analyses, she proposes a set of detailed solutions which were implemented in Słownik elektroniczny jednostek frazeologicznych (SEJF) ‘Electronic Dictionary of Multi-Word Units’ that she is preparing. SEJF is going to be the first electronic grammatical dictionary of Polish idiomatic phrases to provide paradigms for the described units. The paper closes with a list of one hundred analysed phrasemes, each with the assigned lexeme class and, in the case of nouns, also the gender value.

El objeto de este trabajo es analizar y describir algunos aspectos de la lengua cuyo conocimiento, expresión y recepción incumbe al ámbito social y cultural, más que lo puramente formal; es decir, que en ocasiones podemos entender la totalidad de las palabras sin captar el mensaje implícito o, incluso, podemos rechazar algún tipo de construcción lingüística juzgándola rara o anómala y, por tanto, poco significativa desde nuestra perspectiva social y cultural propia, aunque la misma sea altamente significativa desde el punto de vista del emisor y de su marco social y cultural. Para poner de relieve este tipo de construcciones lingüísticas, abordaré aquellas referencias y expresiones con contenido sexual que se precisa comunicar del árabe al español en el ámbito de la interpretación en los Servicios Públicos, o en el ámbito social. Por ello, este trabajo se centrará exclusivamente en la interpretación, porque es ella, frente a la traducción, la que precisa de la presencia física y efectiva de los tres actores de la comunicación, a saber: el proveedor del servicio, el usuario del mismo y el intérprete. The purpose of this paper is to analyze and describe certain aspects of language whose knowledge, expression and reception affect the social and cultural field rather than what’s purely formal; that is to say, sometimes we may understand the words but we may not understand the implicit message or we may even dismiss some kind of linguistic constructions because they are seen as strange or anomalous and therefore not very significant from our own social and cultural perspective, even though such constructions may be highly significant from the speaker’s point of view and their social and cultural context.In order to highlight this kind of linguistic constructions, I will address those references and expressions with sexual content that required to be translated from Arabic to Spanish when interpreting on the public services context. That is why this paper will focus exclusively on interpretation, given that, unlike translation, interpretation requires the physical presence and effectiveness of the three players in communication, namely: the service provider, the user of such service and the interpreter.

The existence of the standards for transmitting documents in electronic format, which ensure their import without being operated once again in the information system of the client, does not exclude the process of inventory of the goods received for identification, inaccuracies that may occur. This paper present a software solution which has been made for optimizing inventory process by using of bar code scanners on Android devices. For this we have made research on client site to identifying needs, and we have to do research for joining different technology together to achieve the main scope.

In this letter, we report on two major improvements with respect to the results presented in our recent paper on imaging geodesy: the atmospheric delay estimation using numerical weather model data and the continental drift adjustment from different geodetic coordinate systems. First, we demonstrate that the GPS-based zenith delay estimates used in our recent paper to correct synthetic aperture radar (SAR) data can be replaced by estimates calculated from numerical weather model data. This leads to a much wider applicability of our approach and even improves the accuracy from 3.8 cm to 3.2 cm. Second, for measuring the absolute position within the SAR image, the coordinate system used has to be carefully chosen, otherwise continental drift affects the results. We show that correct consideration of the reference frames eliminates residual offsets by up to 3.1 cm.

PurposeThe purpose of this paper is to demonstrate how the information extracted from scientific text can be directly used in support of life science research projects. In modern digital‐based research and academic libraries, librarians should be able to support data discovery and organization of digital entities in order to foster research projects effectively; thus the paper aims to speculate that text mining and knowledge discovery tools could be of great assistance to librarians. Such tools simply enable librarians to overcome increasing complexity in the number as well as contents of scientific literature, especially in the emerging interdisciplinary fields of science. This paper seeks to present an example of how evidences extracted from scientific literature can be directly integrated into in silico disease models in support of drug discovery projects.Design/methodology/approachThe application of text‐mining as well as knowledge discovery tools is explained in the form of a knowledge‐based workflow for drug target candidate identification. Moreover, an in silico experimentation framework is proposed for the enhancement of efficiency and productivity in the early steps of the drug discovery workflow.FindingsThe in silico experimentation workflow has been successfully applied to searching for hit and lead compounds in the World‐wide In Silico Docking On Malaria (WISDOM) project and to finding novel inhibitor candidates.Practical implicationsDirect extraction of biological information from text will ease the task of librarians in managing digital objects and supporting research projects. It is expected that textual data will play an increasingly important role in evidence‐based approaches taken by biomedical and translational researchers.Originality/valueThe proposed approach provides a practical example for the direct integration of text‐ and knowledge‐based data into life science research projects, with the emphasis on their application by academic and research libraries in support of scientific projects.

Purpose: The development of the 'Knowledge Portal' is the attempt to develop a central access system in terms of a 'single point of access' for all electronic information services. This means that all these sources - from the library's catalogue and full-text in-house applications to external, licensed sources - should be accessible via one central Web service. Design/methodology/approach: The Knowledge Portal is a piece of software and a real library application, based on Primo, a commercial product, which has been enhanced through a cooperative project from ETH Libraries (Libraries of the Swiss Federal Institute of Technology Zurich) and ExLibris. The new portal will be the result of integrating this new metasearch and the library's homepage. Findings: The paper gives an overview of the general idea behind this complex and clearly user-oriented project and shows which steps are necessary for its launch. Originality / value: The paper gives an example of how to organize cooperation between quite different project partners and shows the complexity of setting up a portal as the single point of access.

PurposeThe purpose of this paper is to present a topic classification model using the Dewey Decimal Classification (DDC) as the target scheme. This is to be done by exploring metadata as provided by the Open Archives Initiative (OAI) to derive document snippets as minimal document representations. The reason is to reduce the effort of document processing in digital libraries. Further, the paper seeks to perform feature selection and extension by means of social ontologies and related web‐based lexical resources. This is done to provide reliable topic‐related classifications while circumventing the problem of data sparseness. Finally, the paper aims to evaluate the model by means of two language‐specific corpora. The paper bridges digital libraries, on the one hand, and computational linguistics, on the other. The aim is to make accessible computational linguistic methods to provide thematic classifications in digital libraries based on closed topic models such as the DDC.Design/methodology/approachThe approach takes the form of text classification, text‐technology, computational linguistics, computational semantics, and social semantics.FindingsIt is shown that SVM‐based classifiers perform best by exploring certain selections of OAI document metadata.Research limitations/implicationsThe findings show that it is necessary to further develop SVM‐based DDC‐classifiers by using larger training sets possibly for more than two languages in order to get better F‐measure values.Originality/valueAlgorithmic and formal‐mathematical information is provided on how to build DDC‐classifiers for digital libraries.

This paper discusses the semantic content of syntactic dependencies. We assume that syntactic dependencies play a central role in the process of semantic interpretation. They are defined as selective functions on word denotations. Among their properties, special attention will be paid to their ability to make interpretation co-compositional and incremental. To describe the semantic properties of dependencies, the paper will be focused on two particular linguistic tasks: word sense disambiguation and attachment resolution. The second task will be performed using a strategy based on automatic acquisition from corpora.

The focus of this paper is on the neural network modelling approach that has gained increasing recognition in GIScience in recent years. The novelty about neural networks lies in their ability to model non-linear processes with few, if any, a priori assumptions about the nature of the data-generating process. The paper discusses some important issues that are central for successful application development. The scope is limited to feedforward neural networks, the leading example of neural networks. It is argued that failures in applications can usually be attributed to inadequate learning and/or inadequate complexity of the network model. Parameter estimation and a suitably chosen number of hidden units are, thus, of crucial importance for the success of real world neural network applications. The paper views network learning as an optimization problem, reviews two alternative approaches to network learning, and provides insights into current best practice to optimize complexity so to perform well on generalization tasks.

Based on where and how phonological rules apply, studies in Lexical Phonology (Mohanan 1986; Kiparsky 1985; Pulleyblank 1986; etc.) distinguish between two levels in the phonology; namely, lexical and post-lexical. At the post-lexical level, the various phonological rules normally require particular domains, without which they fail to apply. The question that follows is where and how we define these domains. Considering Akan Noun-Noun and Noun-Adjective phrasal word (compound) constructions in prosodic phonology (Selkirk 1986, Nespor and Vogel 1986 and Hayes 1989; etc.), this paper touches on some aspects of the prosody-syntax interface on the idea that the domain of a post-lexical rule is drawn from the prosodic component, an intermediate phase of interface analysis. The rules that come to bear are tonal (i.e. H-Deletion, H-Insertion and Boundary assimilation) and segmental (i.e. Prefix deletion and Diphthong simplification) ones that apply on the dictates of particular prosodic domain attainment. Thus, this paper argues that the syntactic structure influences these phonological rules, but indirectly through the prosodic structure (Inkelas 1989). Finally, the paper claims that with the prosodic domains occurrences are better defined and accounted for.

This paper analyses the characteristics of software houses as service providers. The tasks of internal IT-services are determined from these characteristics and a reporting system for the IT-controlling is outlined. The concept results from the analysis of one of the 25 largest German software houses. The paper concludes with a case study of the fiscal year 2000 IT-controlling report of the above-mentioned firm.

In the paper the method is presented how to update traditional digitalised dictionaries based on comparison of the dictionary lemmas and a big corpus. Hunspell platform is used for generation of all the word forms from the dictionary lemmas. 6th edition of The Dictionary of Modern Lithuanian was chosen for its comparison with the lexical data from The Joint Corpus of Lithuanian. The outcome of the comparison was two lists of non-overlapping lexis: the list of the dictionary lemmas unused in the present-day Lithuanian and the list of the dictionary gaps, i.e., frequently used words and word forms ignored by the dictionary. The latter is discussed in greater detail to give lexicographers a clue for updates.

Java supports threads and remote method invocation, but it does not support either data-parallel or distributed programming. This paper discusses Java’s shortcomings with respect to data-parallel programming and presents workarounds. The technical contributions of this paper are twofold: a source-to-source transformation that maps foral l statements into efficient multi-threaded Java code, and an optimization strategy that minimizes the number of synchronization barriers needed for a given program.

E.J. Lowe was a prominent and theistically–inclined philosopher who developed and defended a four–category ontology with roots in Aristotle’s Categories. But Lowe engaged in little philosophical theology and said even less about how a divine being might fit into his considered ontology. This paper explores ways in which the reality of a divine being might be squared with Lowe’s ontology. I motivate the exploration with a puzzle that suggests Lowe must reject either divine aseity or the traditional view that God is a substance. After showing that the puzzle cannot be overcome by rejecting one of its premises, I consider ways in which Lowe might try to reject the puzzle wholesale. I argue that the best way to reject the puzzle is to countenance a fifth fundamental category, the category of supernatural substance.

This paper introduces a framework for managing bias in machine learning (ML) projects. When ML-capabilities are used for decision making, they frequently affect the lives of many people. However, bias can lead to low model performance and misguided business decisions, resulting in fatal financial, social, and reputational impacts. This framework provides an overview of potential biases and corresponding mitigation methods for each phase of the well-established process model CRISP-DM. Eight distinct types of biases and 25 mitigation methods were identified through a literature review and allocated to six phases of the reference model in a synthesized way. Furthermore, some biases are mitigated in different phases as they occur. Our framework helps to create clarity in these multiple relationships, thus assisting project managers in avoiding biased ML-outcomes.

The goal of this paper is to offer a model to quantify the level of complexity of the linguistic content of a corpus in Italian extracted from OpenWHO, WHO’s health emergency learning platform (Rohloff et al. 2018; Zhao et al. 2019). The nature of the computational ranking costs of a typology of relativization strategies is investigated. To reach this goal, the results of the corpus are compared with other three syntactic annotated corpora from Italian belonging to different genres (news, social media, encyclopedic entries, legal). The results show that online learning contents in public health reduce complex structures in syntactic terms. The case study presented here provides a methodology to quantify syntactic and computational complexity in corpus studies.

The noun phrase (NP), one of the key elements of a sentence, can reveal the characteristics of a learner’s linguistic competence. The present study focuses on actual decomposition of NP in the predicate construction. This is when the attribute elements of a noun phrase are included in the predicate construct as factor-actualized determinants. In this position, the copula verb is merely a grammatical means of allowing the attribute to become a predicate (Gaulmyn, Basset 1991: 177).The aim of the study being a more thorough investigation of the criteria and peculiarities of producing this type of predicate constructs in learner language, the present research is based on the empirical material from the Lithuanian learner corpus. The paper briefly discusses the concept of the predicate construction and describes the process of compiling the learner corpus as well as the principles of data selection. The analysis of the NP in a predicate construction is then presented, and the characteristic cases from the corpus data are examined. The main limitation of the present study is related to the scope of the learner corpus. Having summarized the results of the quantitative and qualitative research, the following conclusions were formulated. The learner language is dominated by NP predicate constructions with an adjective more often than a noun. As to the verb conjunction, the typical attribute verb être ‘to be’ was the only one widely used in the corpus under investigation. The analysis of the corpus data also revealed a number of specific errors that are typical of the learners’ written language. In general, the predictive constructions in the learners’ language are characterized by the omission of redundancy tags in the grammatical categories of gender and number. The analysis of the learner corpus provided a broader look at the NP in a predicate construction, highlighting the simplicity, conciseness and repetition of this construct. The results of the study are important for a more comprehensive description of the learners’ language, for solving problems in foreign language analysis, and for contributing to the quality of teaching and learning the French language.

Although the ODD (One Document Does it all) language is normally used to create TEI customizations or extensions, it is also a highly effective tool for editors working in other XML markup languages. This paper will discuss the use of ODD to define a highly constrained schema for HTML5 that will enforce stylistic rules and encoding practices, define custom attributes and value lists, and enable easier editing and validation of project content in the Oxygen XML Editor environment. I will provide a brief history of the project, whose first incarnation, created with the Dreamweaver HTML editor, was somewhat chaotically coded, and show how the implementation of an ODD-based schema provides huge advantages for authors, editors, and encoders, as well as substantially simplifying the code itself.

Depression is an affective disorder characterised by psychomotor retardation; in speech, this shows up in reduction of pitch (variation, range), loudness, and tempo, and in voice qualities different from those of typical modal speech. A similar reduction can be observed in sleepy speech (relaxation). In this paper, we employ a small group of acoustic features modelling prosody and spectrum that have been proven successful in the modelling of sleepy speech, enriched with voice quality features, for the modelling of depressed speech within a regression approach. This knowledge-based approach is complemented by and compared with brute-forcing and automatic feature selection. We further discuss gender differences and the contributions of (groups of) features both for the modelling of depression and across depression and sleepiness.

Der Beitrag erörtert die Entwicklung des Video-Streaming-Marktes und die Bedeutung für Öffentliche und wissenschaftliche Bibliotheken. Dabei geht er auch auf die Spezialisierung bestimmter Anbieter ein. Zusammenfassend ist festzuhalten, dass Streaming von AV-Medien vor allem für Öffentliche Bibliotheken ein wertvolles Zusatzangebot für Nutzende darstellt, für wissenschaftliche Bibliotheken hinsichtlich der Dauerhaftigkeit, Zitierfähigkeit und Nachnutzbarkeit von Ressourcen noch wesentliche Fragen ungelöst bleiben. The paper discusses the development of the video streaming market and its importance for public and academic libraries. It also deals with the specialization of certain providers. In summary, it can be said that streaming of AV media is a valuable additional service for users, especially for public libraries, but for academic libraries essential questions regarding the persistence, citation and subsequent use of resources remain unsolved.

Although Swiss dialects of German are widely used in everyday communication, automatic processing of Swiss German is still a considerable challenge due to the fact that it is mostly a spoken variety and that it is subject to considerable regional variation. This paper presents the ArchiMob corpus, a freely available general-purpose corpus of transcribed spoken Swiss German based on oral history interviews. The corpus is a result of a long design process, intensive manual work and specially adapted computational processing. We first present the modalities of access of the corpus for dialectological, historical and computational research. We then describe how the documents were transcribed, segmented and aligned with the sound source, and summarise a series of experiments that have led to automatically annotated normalisation and part-of-speech tagging layers. Finally, we present several case studies to stimulate the use of the corpus for dialectological research.

Nowadays there are a few tools on the market which support the development of soft competences and build users’ motivation to self-development. One of the newly created tools, which is described in this paper is the Internet application called Integrated Development Assistant (ZAR), which can be accessed at the Internet address: www.zar.edu.pl. The ZAR system differs from the existent solutions because it combines online practices with the face-to-face ones (diagnostic and educational games). It also allows to follow in a flexible way and shape the educational path of an adult, therefore in some areas, it is an innovative tool, offering functions which have not been used in other applications so far and the one integrating various solutions applied in competitive tools. ZAR provides its users with the possibility to use educational contents, development materials, etc. The assumptions of ZAR are based on the concept of real/ideal me by E. T. Higgins.

Summary Individual-tree growth models are the new standard for modeling growth and yield. Their main purpose is to simulate future forest management scenarios but they can also be used to predict wood quality, rockfall protection or habitat quality. Individual tree growth models may consist of different models but core models are diameter increment, height increment, crown ratio (often used as a predictor for increment) and mortality. The model differentiation is based on how these four models include tree age (size), competition and site. Four common growth simulators in Central Europe are BWIN, Moses, Prognaus and Silva. These four models are commonly deployed to simulate 30 years of growth, but a prospective application is the simulation of a whole rotation period (80–150 years). It is therefore crucial to understand the possibilities and limitations of these models by evaluating them. This review paper summarizes the statistical and emergent properties’ evaluation results for these models. Statistical evaluations focus on individual models of a simulator, whereas the evaluation of emergent properties evaluates the entire simulator, by testing if the models conform to known principles of stand growth. Further, the meaning of these evaluation results for the development and improvement of individual-tree growth models is discussed.

This paper presents a comparison of technology delivery bulk cargo. The subject of study is the structure of the tech-nology delivery bulk cargo. The aim of the study is to improve the technological scheme of delivery of cargo in the supply chain. Methods based on the analysis and synthesis of existing methods of collecting baseline information, methods of processing it in a substantiation of the choice of the most efficient transportation technologies.

The digital age has yielded systems that increasingly reduce the complexity of our everyday lives. As such, smart personal assistants such as Amazon’s Alexa or Apple’s Siri combine the comfort of intuitive natural language interaction with the utility of personalized and situation-dependent information and service provision. However, research on SPAs is becoming increasingly complex and opaque. To reduce complexity, this paper introduces a classification system for SPAs. Based on a systematic literature review, a cluster analysis reveals five SPA archetypes: Adaptive Voice (Vision) Assistants, Chatbot Assistants, Embodied Virtual Assistants, Passive Pervasive Assistants, and Natural Conversation Assistants.

The paper describes the up-to-date methods of teaching or learning foreign languages, which are conditioned by the integration of information technologies in the teaching process. Internet gives a perfect opportunity to enliven the lectures of foreign languages, to improve their quality and effectiveness. The main advantage of internet is its authentic material in an authentic context. The examples of such authentic material can be Web 2.0 (website of second generation), Wiki, blogs and podcasts. The second advantage of internet is that it helps the learners to cooperate together. The teachers can lead the learners more effectively, consult each learner individually. It diversifies the teaching process, encourages the activity of students, who have learning difficulties.

Summary In this paper, we present a software tool capable of predicting the final quality of triple play services by using the most common assessment metrics. The quality of speech and video in network environment is a growing concern of all the internet service providers to carry the multimedia traffic without the excessive delays and losses, which degrade the quality of multimedia as it is perceived by the end users. Prediction mathematical model is based on results obtained from many performed testing scenarios simulating real behavior in the network. Based on the proposed model, speech or video quality is calculated with regard to policies applied for packet processing by routers and to the level of total network utilization. The application cannot only predict QoS parameters but also generate the source code of particular QoS policy setting according to the user interaction and apply the policy to the routers in the network. Contribution of the work consists of a new software tool enables network administrators and designers to improve and optimize network traffic efficiently.

In this work, we propose a novel approach to prioritize the depth map computation of multi-view stereo (MVS) to obtain compact 3D point clouds of high quality and completeness at low computational cost. Our prioritization approach operates before the MVS algorithm is executed and consists of two steps. In the first step, we aim to find a good set of matching partners for each view. In the second step, we rank the resulting view clusters (i.e. key views with matching partners) according to their impact on the fulfillment of desired quality parameters such as completeness, ground resolution and accuracy. Additional to geometric analysis, we use a novel machine learning technique for training a confidence predictor. The purpose of this confidence predictor is to estimate the chances of a successful depth reconstruction for each pixel in each image for one specific MVS algorithm based on the RGB images and the image constellation. The underlying machine learning technique does not require any ground truth or manually labeled data for training, but instead adapts ideas from depth map fusion for providing a supervision signal. The trained confidence predictor allows us to evaluate the quality of image constellations and their potential impact to the resulting 3D reconstruction and thus builds a solid foundation for our prioritization approach. In our experiments, we are thus able to reach more than 70% of the maximal reachable quality fulfillment using only 5% of the available images as key views. For evaluating our approach within and across different domains, we use two completely different scenarios, i.e. cultural heritage preservation and reconstruction of single family houses., Comment: This paper was accepted to ISPRS Journal of Photogrammetry and Remote Sensing (https://www.journals.elsevier.com/isprs-journal-of-photogrammetry-and-remote-sensing) on March 21, 2018. The official version will be made available on ScienceDirect (https://www.sciencedirect.com)

Earth observation (EO) has become a valuable source of comprehensive, reliable, and persistent information for a wide number of applications. However, dealing with the complexity of land cover is sometimes difficult, as the variety of EO sensors reflects in the multitude of details recorded in several types of image data. Their properties dictate the category and nature of the perceptible land structures. The data heterogeneity hampers proper understanding, preventing the definition of universal procedures for content exploitation. The main shortcomings are due to the different human and sensor perception on objects, as well as to the lack of coincidence between visual elements and similarities obtained by computation. In order to bridge these sensory and semantic gaps, the paper presents a compound framework for EO image information extraction. The proposed approach acts like a common ground between the user's understanding, who is visually shortsighted to the visible domain, and the machines numerical interpretation of a much wider information. A hierarchical data representation is considered. At first, basic elements are automatically computed. Then, users can enforce their judgement on the data processing results until semantic structures are revealed. This procedure completes a user-machine knowledge transfer. The interaction is formalized as a dialogue, where communication is determined by a set of parameters guiding the computational process at each level of representation. The purpose is to maintain the data-driven observable connected to the level of semantics and to human awareness. The proposed concept offers flexibility and interoperability to users, allowing them to generate those results that best fit their application scenario. The experiments performed on different satellite images demonstrate the ability to increase the performances in case of semantic annotation by adjusting a set of parameters to the particularities of the analyzed data.

With the advent of Smart Grid systems, the digitalization of electrical grid infrastructures aims to improve energy saving and efficiency. The International Electrotechnical Commission (IEC) is one of the organizations that create and manage norms and standards in areas related to electricity and electronics, such as IEC 61850. In recent years, the research community have proposed mappings of different communication protocols to IEC 61850. However, most of the proposals focused on heavyweight interaction paradigms and protocols such as Common Object Request Broker Architecture (CORBA), Data Distribution Service (DDS), HTTP-REST or Web Services. With the proliferation of the Internet of Things (IoT), new lightweight protocols are appearing opening new perspectives to the standard. Hence, this paper firstly presents a validation of a mapping of the IEC 61850 standard to the Constrained Application Protocol (CoAP) and then compares its performance implementing the IEC's mapping against HTTP-REST and Web Services/SOAP. For comparison purposes, the communication latency, the number of total bytes sent, and the size of the overhead are presented for each of the three approaches. To conclude, future perspectives on the suitability of lightweight protocols to the IEC 61850 are provided.

As stated in Perinan-Pascual and Arcas Tunez (2010, p. 2671) FunGramKB´s lexical and grammatical levels are grounded in sound linguistic theories, allowing the system to capture syntactic-semantic generalizations which are able to provide both explanations and predictions of language phenomena. The linguistic foundation of FunGramKB is inspired on Role and Reference Grammar (RRG, Van Valin, 2005) and the Lexical Constructional Model (LCM, Ruiz de Mendoza & Mairal Uson, 2008; Mairal Uson & Ruiz de Mendoza, 2008). The close interrelation between these grammatical theories and FungramKB is patent in the design of ARTEMIS (Automatically Representing Text Meaning via an Interlingua-Based System”), an NLP system whose objective is the simulation of natural language understanding. In doing so, ARTEMIS becomes a development of the syntax-to-semantics linking algorithm proposed in RRG which involves a parsing process that starts with a natural language sentence, extracts its morphosyntactic features and provides a representation of these in terms of the so-called layered structure of the clause (LSC) in RRG. Because of its centrality, there is a vital need for a full development of ARTEMIS. This paper aims at contributing to this elaboration by proposing the set of rules and operations necessary for the treatment of Yes/No interrogative sentences within such an NLP system.

This paper examines the functions of stories in an online peer-to-peer advice forum on pregnancy and parenting, particularly drawing attention to how parents as advice-givers use stories in health-related discussions. The analysis shows that stories are multi-functional, serving to establish rapport with advice-seekers, give and support advice, express and substantiate agreement or disagreement. The results add to the current scholarship by showing that response stories can be used to give etiological (causal) assessments of others’ health issues, thus delivering a diagnostic opinion.

This paper focuses on Lithuanian L2 verb forms that do not exist in the target language. The data is drawn from the Lithuanian L2 corpus and includes spontaneous speech data by 17 speakers of different L1s and all three acquisition varieties (pre-basic, basic and post-basic). The non-existent verb forms make only a small part of the overall verb forms used, however, when distinguished from occasional mistakes, the forms that indicate grammatical development that are analysed show notable systematicity among different speakers. Five distinct and most frequent formants are analyzed in detail, namely -u, -a, -o, -(i)au, ė, that are used by several speakers with seemingly similar function. The analysis reveals specific functions and discusses different factors that have an effect on the acquisition of these formants. In many cases frequency is an important factor, however, with formants -u and -ė transparency and regularity seem to have a stronger effect and thus facilitate the acquisition. Formant -a, being nearly the most common and extremely multifunctional (i.e. rather unmarked), is incorporated into the system firstly as part of the base form and holds this position till a very advanced stage of Lithuanian L2 acquisition. Verb stem type also has an effect with the regularly suffixed verbs being acquired the easiest, while the mixed type and the primary ones cause many difficulties for the speakers. Overall, the systematicity discovered shows the creative structuring of the interlanguage that only occurs more actively in the post-basic variety of acquisition.

This paper analyzes cascade effects of natural disasters and investigates their impact on relief operations with respect to critical infrastructure, in particular, the transport infrastructure, electricity and human health. Causal-Loop-Diagrams (CLDs) are generated in order to provide useful information for decision makers. CLDs clearly visualize cascade effects which enable one to identify non-linear critical feedback processes and to analyze the behavior of the considered system. In order to investigate if the identified behavior occurred in real-world cases, we apply the CLDs to concrete natural disaster events, the European flood of 2002 and the European heat wave of 2003. Independent of the type of disaster, it can be concluded that cascade effects negatively affect critical infrastructure. The impacts on disaster relief operations can be proven for the case of the flood of 2002. In case of the heat wave of 2003 some of the assumed interdependencies did not appear in that analysis. The analysis shows that cascade effects and interdependencies between the different sectors of critical infrastructure can be visualized by the presented CLDs and are of high importance in order to understand their impact on disaster relief operations.

Summary The customer's review plays an important role in deciding the purchasing behaviour for online shopping as a customer prefers to get the opinion of other customers by observing their opinion through online products’ reviews, blogs and social networking sites, etc. The customer's reviews reflect the customer's sentiments and have a substantial significance for the products being sold online including electronic gadgets, movies, house hold appliances and books. Hence, extracting the exact features of the products by analyzing the text of reviews requires a lot of efforts and human intelligence. In this paper we intend to analyze the online reviews available for books and extract book-features from the reviews using human intelligence. We have proposed a technique to categorize the features of books from the reviews of the customers. The extracted features may help in deciding the books to be recommended for readers. The ultimate goal of the work is to fulfil the requirement of the user and provide them their desired books. Thus, we have evaluated our categorization method by users themselves, and surveyed qualified persons for the concerned books. The survey results show high precision of the features categorized which clearly indicates that proposed method is very useful and appealing. The proposed technique may help in recommending the best books for concerned people and may also be generalized to recommend any product to the users.

Summary Mobile is becoming a part of everyone's life and as their power of computation and storage is rising and cost is coming down. Most of mobile phone users have a lot of private data which they want to protect from others ( La Polla et al., 2013 ). It means user must be authenticated properly for accessing the mobile resources. Normally user is authenticated using text passwords, PIN, face recognition or patterns etc. All these methods are used but they have some shortcomings. In this paper we have seen various existing methods of mobile authentications and proposed our improved mobile authentication IPCT scheme. We have compared our Image Pass Code with tapping scheme with existing techniques and shown that our scheme is better than existing techniques.

Summary The world today is experiencing an exponential growth in cyberspace. Nevertheless, India too has witnessed a significant ascend in Internet activities and it is quite assertive to say that such phenomenal growth in access to information on one hand leads to empowered individuals and organization and on the other hand also poses new challenges to government and citizens. To make the cyber world safe is the need of the hour. Putting up deterrent measures against cybercrime is essential to national cyber security in protecting critical infrastructure of the nation as well as for individuals. In this regard, the prime objective of the government is to prevent cyber attacks and to protect the country's critical infrastructure. It also focuses on reducing vulnerability to cyber attacks so as to reduce and minimize damage and recovery time. To prevent the cyber crimes, individuals and governments need to clearly understand the crime schemes in the cyberspace and the contemporary and continuing Internet trends and behaviours of these criminals. This paper gives a brief outline of categories of cybercrimes. These crimes are categorized as crimes against individuals, property, organizations and governments. Various Internet crime scheme are evaluated and behaviour of criminals to perform the cybercrimes has been analyzed. A critical evaluation of report of cybercrime complaints under IT Act 2000 has been presented.