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Your search keyword '"Bouma, Gosse"' showing total 28 results
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13. Using Syntactic Knowledge for QA

Author

Bouma, Gosse, primary, Fahmi, Ismail, additional, Mur, Jori, additional, van Noord, Gertjan, additional, van der Plas, Lonneke, additional, and Tiedemann, Jörg, additional

Published
2007
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26. Extracting Meronymy Relationships from Domain-Specific, Textual Corporate Databases.

Author

Ittoo, Ashwin, Bouma, Gosse, Maruster, Laura, and Wortmann, Hans

Abstract

Various techniques for learning meronymy relationships from opendomain corpora exist. However, extracting meronymy relationships from domain-specific, textual corporate databases has been overlooked, despite numerous application opportunities particularly in domains like product development and/or customer service. These domains also pose new scientific challenges, such as the absence of elaborate knowledge resources, compromising the performance of supervised meronymy-learning algorithms. Furthermore, the domain-specific terminology of corporate texts makes it difficult to select appropriate seeds for minimally-supervised meronymy-learning algorithms. To address these issues, we develop and present a principled approach to extract accurate meronymy relationships from textual databases of product development and/or customer service organizations by leveraging on reliable meronymy lexico-syntactic patterns harvested from an open-domain corpus. Evaluations on real-life corporate databases indicate that our technique extracts precise meronymy relationships that provide valuable operational insights on causes of product failures and customer dissatisfaction. Our results also reveal that the types of some of the domain-specific meronymy relationships, extracted from the corporate data, cannot be conclusively and unambiguously classified under wellknown taxonomies of relationships. [ABSTRACT FROM AUTHOR]

Published
2010
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27. Relevance Measures Using Geographic Scopes and Types.

Author

Andogah, Geoffrey and Bouma, Gosse

Abstract

This paper proposes two kinds of relevance measures to rank documents by geographic restriction: scope-based and type-based. The non-geographic and geographic relevance scores are combined using a weighted harmonic mean. The proposed relevance measures and weighting schemes are evaluated on GeoCLEF 2007 dataset with encouraging performance over the standard IR performance. The best performance is achieved when the importance of non-geographic relevance scores outweigh the importance of geographic relevance scores. [ABSTRACT FROM AUTHOR]

Published
2008
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28. Question Answering for Dutch Using Dependency Relations.

Author

Peters, Carol, Gey, Fredric C., Gonzalo, Julio, Müller, Henning, Jones, Gareth J. F., Kluck, Michael, Magnini, Bernardo, Rijke, Maarten, Giampiccolo, Danilo, Bouma, Gosse, Mur, Jori, Noord, Gertjan, Plas, Lonneke, and Tiedemann, Jörg

Abstract

Joost is a question answering system for Dutch which makes extensive use of dependency relations. It answers questions either by table look-up, or by searching for answers in paragraphs returned by IR. Syntactic similarity is used to identify and rank potential answers. Tables were constructed by mining the CLEF corpus, which has been syntactically analyzed in full. [ABSTRACT FROM AUTHOR]

Published
2006
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