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Hits 41 – 50 of 50

41
Sentiment analysis on Italian tweets
In: WASSA 2013 ; https://hal.archives-ouvertes.fr/hal-01344503 ; WASSA 2013, Jun 2013, Atlanta, United States (2013)
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42
Gamification for Word Sense Labeling
In: Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013) ; https://hal.inria.fr/hal-01342431 ; Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013), Mar 2013, Potsdam, Germany (2013)
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43
Aligning Formal Meaning Representations with Surface Strings for Wide-coverage Text Generation
In: ENLG 2013 ; https://hal.archives-ouvertes.fr/hal-01344582 ; ENLG 2013, Aug 2013, Sophia, Bulgaria (2013)
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44
Elephant: Sequence Labeling for Word and Sentence Segmentation
In: EMNLP 2013 ; https://hal.archives-ouvertes.fr/hal-01344500 ; EMNLP 2013, Oct 2013, Seattle, United States (2013)
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45
Elephant: Sequence labeling for word and sentence segmentation
Evang, Kilian; Basile, Valerio; Chrupała, Grzegorz. - : Association for Computational Linguistics (ACL), 2013. : country:USA, 2013. : place:Stroudsburg, 2013
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46
A platform for collaborative semantic annotation
In: EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01389441 ; EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics , Apr 2012, Avignon, France. pp.92 - 96 (2012)
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47
An Empirical Approach to the Semantic Representation of Laws
In: The 25th International Conference on Legal Knowledge and Information Systems ; https://hal.inria.fr/hal-01389435 ; The 25th International Conference on Legal Knowledge and Information Systems, Dec 2012, Amsterdam, Netherlands (2012)
Abstract: International audience ; To make legal texts machine processable, the texts may be represented as linked documents, semantically tagged text, or translated to formal representations that can be automatically reasoned with. The paper considers the latter, which is key to testing consistency of laws, drawing inferences, and providing explanations relative to input. To translate laws to a form that can be reasoned with by a computer , sentences must be parsed and formally represented. The paper presents the state-of-the-art in automatic translation of law to a machine readable formal representation , provides corpora, outlines some key problems, and proposes tasks to address the problems.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; Legislation; Parsing; Semantic Representation
URL: https://hal.inria.fr/hal-01389435
https://hal.inria.fr/hal-01389435/file/WynerEtAlCCBoxerJURIX2012.pdf
https://hal.inria.fr/hal-01389435/document
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48
Developing a large semantically annotated corpus
In: LREC 2012, Eighth International Conference on Language Resources and Evaluation ; https://hal.inria.fr/hal-01389432 ; LREC 2012, Eighth International Conference on Language Resources and Evaluation, May 2012, Istanbul, Turkey (2012)
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49
Towards Generating Text from Discourse Representation Structures
In: ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation ; https://hal.inria.fr/hal-01389440 ; ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation, Sep 2011, Nancy, France. pp.145 - 150 (2011)
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50
SemEval 2018 Task 2: multilingual emoji prediction
Barbieri, Francesco; Camacho-Collados, Jose; Ronzano, Francesco. - : ACL (Association for Computational Linguistics)
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