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1
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization ...
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2
Multitask Easy-First Dependency Parsing: Exploiting Complementarities of Different Dependency Representations
In: Proceedings of the 28th International Conference on Computational Linguistics ; 28th International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03168039 ; 28th International Conference on Computational Linguistics, Dec 2020, Barcelona (on line), Spain. ⟨10.18653/v1/2020.coling-main.225⟩ (2020)
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3
Multitask Easy-First Dependency Parsing ...
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4
Proceedings of the Fifth Arabic Natural Language Processing Workshop
Bouamor, Houda; Zaghouani, Wajdi. - : Association for Computational Linguistics, 2020
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5
AraWEAT: Multidimensional analysis of biases in Arabic word embeddings
Lauscher, Anne; Takieddin, Rafik; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2020
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6
Deep Lexical Segmentation and Syntactic Parsing in the Easy-First Dependency Framework
In: NAACL ; https://hal.archives-ouvertes.fr/hal-01494125 ; NAACL, 2016, San Diego, United States (2016)
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7
Pattern mining and CRF for symptoms recognition in biomedical texts ; Fouille de motifs et CRF pour la reconnaissance de symptômes dans les textes biomédicaux
In: 23e conférence sur le Traitement Automatique des Langues Naturelles (TALN’16) ; https://halshs.archives-ouvertes.fr/halshs-01727081 ; 23e conférence sur le Traitement Automatique des Langues Naturelles (TALN’16), Jul 2016, Paris, France. pp.194-206 (2016)
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8
Weakly-supervised Symptom Recognition for Rare Diseases in Biomedical Text
In: 15th International Symposium on Intelligent Data Analysis ; https://halshs.archives-ouvertes.fr/halshs-01727071 ; 15th International Symposium on Intelligent Data Analysis, Oct 2016, Stockholm, Sweden (2016)
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9
Maximum-entropy word alignment and posterior-based phrase extraction for machine translation
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 28 (2014) 1, 19-56
OLC Linguistik
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10
LIPN: Introducing a new Geographical Context Similarity Measure and a Statistical Similarity Measure based on the Bhattacharyya coefficient
In: SemEval 2014 ; https://hal.archives-ouvertes.fr/hal-01068277 ; SemEval 2014, Aug 2014, Dublin, Ireland. pp.400-405 (2014)
Abstract: International audience ; This paper describes the system used by the LIPN team in the task 10, Multilingual Semantic Textual Similarity, at SemEval 2014, in both the English and Spanish sub-tasks. The system uses a support vector regression model, combining different text similarity measures as features. With respect to our 2013 participation, we included a new feature to take into account the geographical context and a new semantic distance based on the Bhattacharyya distance calculated on co-occurrence distributions derived from the Spanish Google Books n-grams dataset.
Keyword: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Semantic similarity measures; Textual Semantic Similarity
URL: https://hal.archives-ouvertes.fr/hal-01068277/document
https://hal.archives-ouvertes.fr/hal-01068277
https://hal.archives-ouvertes.fr/hal-01068277/file/LIPN-semeval2014.pdf
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11
Discriminative Alignment Models For Statistical Machine Translation ; Modèles Discriminants d'Alignement Pour La Traduction Automatique Statistique
Tomeh, Nadi. - : HAL CCSD, 2012
In: https://tel.archives-ouvertes.fr/tel-00720250 ; Other [cs.OH]. Université Paris Sud - Paris XI, 2012. English. ⟨NNT : 2012PA112104⟩ (2012)
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12
Designing an improved discriminative word aligner
In: International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01960730 ; International Conference on Intelligent Text Processing and Computational Linguistics, Jan 2011, Tokyo, Japan (2011)
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