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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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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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Abstract:
International audience ; Data-driven approaches in computational semantics are not common because there are only few semantically annotated resources available. We are building a large corpus of public-domain English texts and annotate them semi-automatically with syntactic structures (derivations in Com-binatory Categorial Grammar) and semantic representations (Discourse Representation Structures), including events, thematic roles, named entities, anaphora, scope, and rhetorical structure. We have created a wiki-like Web-based platform on which a crowd of expert annotators (i.e. linguists) can log in and adjust linguistic analyses in real time, at various levels of analysis, such as boundaries (tokens, sentences) and tags (part of speech, lexical categories). The demo will illustrate the different features of the platform, including navigation, visual-ization and editing.
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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; Computational semantics; language resources; semantic annotations
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URL: https://hal.inria.fr/hal-01389441/file/p92-basile.pdf https://hal.inria.fr/hal-01389441/document https://hal.inria.fr/hal-01389441
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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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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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