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Identifier et catégoriser l’ambiguïté dans les spécifications techniques de conceptions de systèmes ; : Identifying and classifying ambiguity in requirements specifications

• Authors : Merdy, Émilie;

Subjects: lexical and distributional semantics; ambiguity; domain adaptationParis; France

• Source: Actes de la conférence conjointe JEP-TALN-RÉCITAL 2016 ; JEP-TALN-RÉCITAL 2016 ; https://hal.science/hal-01351067 ; JEP-TALN-RÉCITAL 2016, Jul 2016, Paris, France ;

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Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline

• Authors : Helbig, David; Troiano, Enrica; Klinger, Roman

Subjects: Computer Science - Computation and Language; text

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Learning Lexical Subspaces in a Distributional Vector Space

• Authors : Arora, Kushal; Chakraborty, Aishik; Cheung, Jackie C. K.

Subjects: Computational linguistics. Natural language processing; P98-98.5

• Source: Transactions of the Association for Computational Linguistics, Vol 8, Pp 311-329 (2020)

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Sentence Similarity Computation in Question Answering Robot

• Authors : Si, Shijing; Zheng, Weiguo; Zhou, Liuyang

• Source: Journal of Physics: Conference Series ; volume 1237, issue 2, page 022093 ; ISSN 1742-6588 1742-6596

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Using Paraphrases and Lexical Semantics to Improve the Accuracy and the Robustness of Supervised Models in Situated Dialogue Systems

• Authors : Gardent, Claire; Rojas Barahona, Lina Maria;

Subjects: ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Seattle; United States

• Source: Conference on Empirical Methods in Natural Language Processing ; https://inria.hal.science/hal-00905405 ; Conference on Empirical Methods in Natural Language Processing, SIGDAT, the Association for

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