515 results on '"Philipp Cimiano"'
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102. Comparing Hidden Markov Models and Long Short Term Memory Neural Networks for Learning Action Representations.
103. Statistical Induction of Coupled Domain/Range Restrictions from RDF Knowledge Bases.
104. Combining Textual and Graph-Based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models.
105. Populating a Knowledge Base with Object-Location Relations Using Distributional Semantics.
106. Constructing a Language From Scratch: Combining Bottom-Up and Top-Down Learning Processes in a Computational Model of Language Acquisition.
107. On the origin of annotations: A module-based approach to representing annotations in the Natural Language Processing Interchange Format (NIF).
108. Automatic Acquisition of Adjective Lexicalizations of Restriction Classes: a Machine Learning Approach.
109. Reconciling Heterogeneous Descriptions of Language Resources.
110. Linking Four Heterogeneous Language Resources as Linked Data.
111. LIME: The Metadata Module for OntoLex.
112. One Ontology to Bind Them All: The META-SHARE OWL Ontology for the Interoperability of Linguistic Datasets on the Web.
113. Semantic parsing of speech using grammars learned with weak supervision.
114. Learning linguistic constructions grounded in qualitative action models.
115. Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap.
116. Linghub: a Linked Data based portal supporting the discovery of language resources.
117. Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis.
118. DBlexipedia: A Nucleus for a Multilingual Lexical Semantic Web.
119. Weasel: a Machine Learning Based Approach to Entity Linking combining different features.
120. Erratum zu: Editorial.
121. A personality-based emotional model for embodied conversational agents: Effects on perceived social presence and game experience of users.
122. Domain adaptation for ontology localization.
123. An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews.
124. Fusion of knowledge-based and data-driven approaches to grammar induction.
125. Towards Gene Recognition from Rare and Ambiguous Abbreviations using a Filtering Approach.
126. Bielefeld SC: Orthonormal Topic Modelling for Grammar Induction.
127. Question Answering over Linked Data (QALD-4).
128. Representing Multilingual Data as Linked Data: the Case of BabelNet 2.0.
129. The USAGE review corpus for fine grained multi lingual opinion analysis.
130. Speeding Up Multilingual Grammar Development by Exploiting Linked Data to Generate Pre-terminal Rules.
131. A Natural Movement Database for Management, Documentation, Visualization, Mining and Modeling of Locomotion Experiments.
132. An Introduction to Question Answering over Linked Data.
133. Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments.
134. ReSEED: social event dEtection dataset.
135. Learning a semantic parser from spoken utterances.
136. Text Insights: Natural Language Analytics for Understanding Social Media Engagement.
137. M-ATOLL: A Framework for the Lexicalization of Ontologies in Multiple Languages.
138. Modelling the Semantics of Adjectives in the Ontology-Lexicon Interface.
139. SCIO: An Ontology to Support the Formalization of Pre-Clinical Spinal Cord Injury Experiments.
140. Ontology-driven Visual Exploration of Preclinical Research Data in the Spinal Cord Injury Domain.
141. Ensemble Methods for the NTCIR-13 NAILS Task.
142. Orthonormal Explicit Topic Analysis for Cross-Lingual Document Matching.
143. Releasing multimodal data as Linguistic Linked Open Data: An experience report.
144. Linguistic Linked Open Data (LLOD). Introduction and Overview.
145. Multilingual Question Answering over Linked Data (QALD-3): Lab Overview.
146. Towards Linked Research Data: an Institutional Approach.
147. A Corpus-Based Approach for the Induction of Ontology Lexica.
148. Bi-directional Inter-dependencies of Subjective Expressions and Targets and their Value for a Joint Model.
149. Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment Analysis: Extracting Aspects, Subjective Phrases and their Relations.
150. Mining translations from the web of open linked data.
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