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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)
Abstract: International audience ; In this paper, we tackle the issue of symptom recognition for rare diseases in biomedical texts. Symptoms typically have more complex and ambiguous structure than other biomedical named entities. Furthermore , existing resources are scarce and incomplete. Therefore, we propose a weakly-supervised framework based on a combination of two approaches: sequential pattern mining under constraints and sequence labeling. We use unannotated biomedical paper abstracts with dictionaries of rare diseases and symptoms to create our training data. Our experiments show that both approaches outperform simple projection of the dictionaries on text, and their combination is beneficial. We also introduce a novel pattern mining constraint based on semantic similarity between words inside patterns.
Keyword: [SHS.LANGUE]Humanities and Social Sciences/Linguistics; Biomedical texts; CRF; Information extraction; Pattern mining; Symptoms recognition
URL: https://halshs.archives-ouvertes.fr/halshs-01727071/document
https://halshs.archives-ouvertes.fr/halshs-01727071
https://halshs.archives-ouvertes.fr/halshs-01727071/file/ida-2016-paper.pdf
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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
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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)
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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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