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Sentiment analysis on Italian tweets
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In: WASSA 2013 ; https://hal.archives-ouvertes.fr/hal-01344503 ; WASSA 2013, Jun 2013, Atlanta, United States (2013)
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Gamification for Word Sense Labeling
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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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Aligning Formal Meaning Representations with Surface Strings for Wide-coverage Text Generation
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In: ENLG 2013 ; https://hal.archives-ouvertes.fr/hal-01344582 ; ENLG 2013, Aug 2013, Sophia, Bulgaria (2013)
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Elephant: Sequence Labeling for Word and Sentence Segmentation
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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
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46 |
A platform for collaborative semantic annotation
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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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An Empirical Approach to the Semantic Representation of Laws
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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)
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Developing a large semantically annotated corpus
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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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Abstract:
International audience ; What would be a good method to provide a large collection of semantically annotated texts with formal, deep semantics rather than shallow? We argue that a bootstrapping approach comprising state-of-the-art NLP tools for parsing and semantic interpretation, in combination with a wiki-like interface for collaborative annotation of experts, and a game with a purpose for crowdsourcing, are the starting ingredients for fulfilling this enterprise. The result is a semantic resource that anyone can edit and that integrates various phenomena, including predicate-argument structure, scope, tense, thematic roles, rhetorical relations and presuppositions, into a single semantic formalism: Discourse Representation Theory. Taking texts rather than sentences as the units of annotation results in deep semantic representations that incorporate discourse structure and dependencies. To manage the various (possibly conflicting) annotations provided by experts and non-experts, we introduce a method that stores " Bits of Wisdom " in a database as stand-off annotations.
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Keyword:
[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; annotation; discourse; semantics
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URL: https://hal.inria.fr/hal-01389432/file/534_Paper.pdf https://hal.inria.fr/hal-01389432 https://hal.inria.fr/hal-01389432/document
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Towards Generating Text from Discourse Representation Structures
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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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