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Overview of the clef 2008 multilingual question answering track
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In: https://ccc.inaoep.mx/%7Evillasen/bib/CLEF08Working_Notes_QA_Overview.pdf (2008)
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22 |
Target Concept Selection By Property Overlap In Ontology Population ...
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Target Concept Selection By Property Overlap In Ontology Population ...
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29 |
Resolving Dependency Ambiguity Of Subordinate Clauses Using Support Vector Machines ...
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Resolving Dependency Ambiguity Of Subordinate Clauses Using Support Vector Machines ...
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33 |
Memory-Based Shallow Parsing
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In: http://staff.science.uva.nl/~erikt/papers/jmlr2002.ps.gz (2002)
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34 |
Memory-Based Shallow Parsing
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In: http://cnts.uia.ac.be/cnts/papers/./pdf/20020417.4146.jmlr2002.pdf (2002)
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35 |
Memory-Based Shallow Parsing
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In: http://cnts.uia.ac.be/cnts/papers/./ps/20020417.4146.jmlr2002.ps (2002)
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36 |
Memory-based Shallow Parsing
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In: http://jmlr.csail.mit.edu/papers/volume2/tks02a/tks02a.pdf (2002)
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38 |
Learning computational grammars
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In: http://acl.ldc.upenn.edu/W/W01/W01-0712.pdf (2001)
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39 |
Learning Computational Grammars
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In: http://lcg-www.uia.ac.be/lcg/texts/./pdf/nerbonne.conll2001.pdf (2001)
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40 |
Learning computational grammars
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In: http://www.cnts.ua.ac.be/papers/2001/conlld01.pdf (2001)
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Abstract:
This paper reports on the LEARNING COMPUTATIONAL GRAMMARS (LCG) project, a postdoc network devoted to studying the application of machine learning techniques to grammars suitable for computational use. We were interested in a more systematic survey to understand the relevance of many factors to the success of learning, esp. the availability of annotated data, the kind of dependencies in the data, and the availability of knowledge bases (grammars). We focused on syntax, esp. noun phrase (NP) syntax. 1
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.1874 http://www.cnts.ua.ac.be/papers/2001/conlld01.pdf
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