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Présentation Anaphora Resolution Format Relié
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Résumé : Preface.- 1.Introduction.- Part I ...
Biographie: Massimo Poesio is a cognitive scientist with a primary interest in computational linguist but interests in psycholinguistics and neuroscience Roland Stuckardt works as a consultant, research & development manager,and scientific researcher in the fields of computational linguistics and natural language processing. He studied computer science and economics at Goethe University Frankfurt. During his work at the German National Research Center for Information Technology (GMD) Darmstadt, he specialized in text analysis, parsing, discourse semantics, and robust anaphor resolution. He received his PhD at Goethe University for his research on computer-based text content analysis in the social sciences. Among his research interests and main fields of work are anaphora processing, information extraction, media content monitoring, innovative natural language processing applications in general, and computer chess. Yannick Versley is a group leader in the Leibniz-ScienceCampus Empirical Linguistics and Computational Language Modeling, a collaboration between the Institute for German Language (IDS) in Mannheim and the Institute for Computational Linguistics at the University of Heidelberg. He studied Computer Science, Physics and Mathematics in Hamburg before doing a PhD in T?bingen on the coreference resolution of definite noun phrases in German newspaper text. During his subsequent work in Rovereto/Trento, T?bingen, and Heidelberg, he has worked on a number of topics including statistical parsing, coreference resolution, discourse relations, and distributional semantics, with particular attention to German.
as well. His research includes the development of computational models of semantic and discourse interpretation (in particular, anaphora resolution); the creation of corpora of anaphorically annotated data (he pioneered the use of games-with-a-purpose for computational linguistics with the development of Phrase Detectives, http://www.phrasedetectives.org); the study of commonsense knowledge using a combination of methods from computational linguistics and from neuroscience; and the application of
text analytics methods to real life problems, such as deception detection and the identification of reports of human rights violations in social media.
Sommaire:
Background.- 2.Linguistic and Cognitive Evidence About Anaphora.- 3. Early Approaches to Anaphora Resolution: Theoretically Inspired and Heuristic-Based.- Part II Resources.- 4.Annotated Corpora and Annotation Tools.- 5.Evaluation Metrics.- 6.Evaluation Campaigns.- 7.Preprocessing Technology.- 8.Off-the-shelf Tools.- Part III Algorithms.- 9.The Mention-Pair Model.- 10.Advanced Machine Learning Models for Coreference Resolution.- 11.Integer Linear Programming for Coreference Resolution.- 12.Extracting Anaphoric Agreement Properties from Corpora.- 13.Detecting Non-reference and Non-anaphoricity.- 14.Using Lexical and Encyclopedic Knowledge.- Part IV Applications.- 15.Coreference Applications to Summarization.- 16.Towards a Procedure Model for Developing Anaphora Processing Applications.- Part V Outlook.- 17.Challenges and Directions of Further Research.- Index.
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