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1
Paraphrase-Based Models Of Lexical Semantics
In: Publicly Accessible Penn Dissertations (2019)
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2
Paraphrase-based Models of Lexical Semantics
In: Dissertations available from ProQuest (2019)
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3
Paraphrase-Sense-Tagged Sentences
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 714-728 (2019) (2019)
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4
Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation
In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01838521 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics Jun 2018, Nouvelle Orléans, United States (2018)
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5
Comparing Constraints for Taxonomic Organization
In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01838520 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics Jun 2018, Nouvelle Orléans, United States (2018)
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6
Mapping the Paraphrase Database to WordNet
In: Conference on Lexical and Computational Semantics ; https://hal.archives-ouvertes.fr/hal-01838527 ; Conference on Lexical and Computational Semantics, Aug 2017, Vancouver, Canada (2017)
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7
Word Sense Filtering Improves Embedding-Based Lexical Substitution
In: Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01838524 ; Conference of the European Chapter of the Association for Computational Linguistics , Apr 2017, Valencia, Spain (2017)
Abstract: International audience ; The role of word sense disambiguation in lexical substitution has been questioned due to the high performance of vector space models which propose good substitutes without explicitly accounting for sense. We show that a filtering mechanism based on a sense inventory optimized for substitutability can improve the results of these models. Our sense inventory is constructed using a clustering method which generates paraphrase clusters that are congruent with lexical substitution annotations in a development set. The results show that lexical substitution can still benefit from senses which can improve the output of vector space paraphrase ranking models.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; lexical substitution; sense filtering
URL: https://hal.archives-ouvertes.fr/hal-01838524
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8
KnowYourNyms? A Game of Semantic Relationships
In: Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01838528 ; Conference on Empirical Methods in Natural Language Processing, Sep 2017, Copenhagen, Denmark (2017)
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9
Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts
In: J Am Med Inform Assoc (2017)
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