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Easy-to-use combination of POS and BERT model for domain-specific and misspelled terms
In: NL4IA Workshop Proceedings ; https://hal.archives-ouvertes.fr/hal-03474696 ; NL4IA Workshop Proceedings, Nov 2021, Milan, Italy (2021)
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Differential Evaluation: a Qualitative Analysis of Natural Language Processing System Behavior Based Upon Data Resistance to Processing
In: Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems ; EVAL4NLP, 2nd Workshop on "Evaluation & Comparison of NLP Systems", EMNLP 2021 ; https://hal.archives-ouvertes.fr/hal-03432331 ; EVAL4NLP, 2nd Workshop on "Evaluation & Comparison of NLP Systems", EMNLP 2021, Nov 2021, Punta Cana, Dominican Republic (2021)
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Inference Annotation of a Chinese Corpus for Opinion Mining
In: LREC ; https://hal-inalco.archives-ouvertes.fr/hal-02507170 ; LREC, May 2020, Marseille, France (2020)
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Automatic Removal of Identifying Information in Official EU Languages for Public Administrations: The MAPA Project
In: Legal Knowledge and Information Systems ; Frontiers in Artificial Intelligence and Applications ; International Conference on Legal Knowledge and Information Systems ; https://hal.archives-ouvertes.fr/hal-03058311 ; International Conference on Legal Knowledge and Information Systems, Dec 2020, Brno, Prague, Czech Republic. pp.223-226, ⟨10.3233/FAIA200869⟩ ; http://ebooks.iospress.nl/volume/legal-knowledge-and-information-systems-jurix-2020-the-thirty-third-annual-conference-brno-czech-republic-december-911-2020 (2020)
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Inference Annotation of a Chinese Corpus for Opinion Mining
In: LREC ; https://hal-inalco.archives-ouvertes.fr/hal-02507170 ; LREC, May 2020, Marseille, France (2020)
Abstract: International audience ; Polarity classification (positive, negative or neutral opinion detection) is well developed in the field of opinion mining. However, existing tools, which perform with high accuracy on short sentences and explicit expressions, have limited success interpreting narrative phrases and inference contexts. In this article, we will discuss an important aspect of opinion mining: inference. We will give our definition of inference, classify different types, provide an annotation framework and analyze the annotation results. While inferences are often studied in the field of Natural-language understanding (NLU), we propose to examine inference as it relates to opinion mining. Firstly, based on linguistic analysis, we clarify what kind of sentence contains an inference. We define five types of inference: logical inference, pragmatic inference, lexical inference, enunciative inference and discursive inference. Second, we explain our annotation framework which includes both inference detection and opinion mining. In short, this manual annotation determines whether or not a target contains an inference. If so, we then define inference type, polarity and topic. Using the results of this annotation, we observed several correlation relations which will be used to determine distinctive features for automatic inference classification in further research. We also demonstrate the results of three preliminary classification experiments.
Keyword: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Inferences; Natural Language Processing; Opinion Mining
URL: https://hal-inalco.archives-ouvertes.fr/hal-02507170
https://hal-inalco.archives-ouvertes.fr/hal-02507170/document
https://hal-inalco.archives-ouvertes.fr/hal-02507170/file/Inference_Annotation_of_a_Chinese_Corpus_for_Opinion_Mining%20%281%29.pdf
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6
A Year of Papers Using Biomedical Texts:: Findings from the Section on Clinical Natural Language Processing of the International Medical Informatics Association Yearbook
In: Yearb Med Inform (2020)
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7
French Levothyrox® Crisis: Retrospective Analysis of Social Media
In: International Society of Pharmacovigilance ; https://hal.archives-ouvertes.fr/hal-02411632 ; International Society of Pharmacovigilance, Springer International Publishing, Oct 2019, Bogota, Colombia (2019)
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8
Annotations d'entités et de relations sur des résumés d'articles scientifiques pour la détection d'interactions entre aliments et médicaments
In: TALMED 2019 ; https://hal.archives-ouvertes.fr/hal-02430510 ; TALMED 2019, Aug 2019, Lyon, France (2019)
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9
Three Dimensions of Reproducibility in Natural Language Processing
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A French clinical corpus with comprehensive semantic annotations: development of the Medical Entity and Relation LIMSI annOtated Text corpus (MERLOT) [<Journal>]
Campillos, Leonardo [Verfasser]; Deleger, Louise [Sonstige]; Grouin, Cyril [Sonstige].
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11
Generating a training corpus for OCR post-correction using encoder-decoder model
In: Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers) ; International Joint Conference on Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01831147 ; International Joint Conference on Natural Language Processing, Nov 2017, Taipei, Taiwan ; https://www.aclweb.org/anthology/I17-1101 (2017)
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12
CLEF eHealth 2017 Multilingual Information Extraction task Overview: ICD10 Coding of Death Certificates in English and French.
In: Workshop of the Cross-Language Evaluation Forum ; https://hal.archives-ouvertes.fr/hal-01665374 ; Workshop of the Cross-Language Evaluation Forum, CEUR-WS, Jan 2017, Dublin, Ireland (2017)
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13
A French clinical corpus with comprehensive semantic annotations: development of the Medical Entity and Relation LIMSI annOtated Text corpus (MERLOT)
In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01631743 ; Language Resources and Evaluation, Springer Verlag, 2017, 52 (2), pp.571-601. &#x27E8;10.1007/s10579-017-9382-y&#x27E9; (2017)
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14
Identification of mentions and relations between bacteria and biotope from PubMed abstracts
In: BioNLP Shared-Task Workshop ; https://hal.archives-ouvertes.fr/hal-01831226 ; BioNLP Shared-Task Workshop, ACL, Jan 2016, Berlin, Germany (2016)
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15
Low-resource OCR error detection and correction in French Clinical Texts
In: International Workshop on Health Text Mining and Information Analysis ; https://hal.archives-ouvertes.fr/hal-01831225 ; International Workshop on Health Text Mining and Information Analysis, ACL, Nov 2016, Austin, United States (2016)
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16
Analyse des émotions, sentiments et opinions exprimés dans les tweets : présentation et résultats de l'édition 2015 du défi fouille de texte (DEFT)
In: Actes de la 22e conférence sur le Traitement Automatique des Langues Naturelles (TALN 2015) ; https://hal.archives-ouvertes.fr/hal-01617180 ; Actes de la 22e conférence sur le Traitement Automatique des Langues Naturelles (TALN 2015), Jun 2015, Caen, France ; http://www.atala.org/taln_archives/ateliers/2015/DEFT/deft-2015-long-001.pdf (2015)
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17
Morpho-Syntactic Study of Errors from Speech Recognition System
In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01831243 ; International Conference on Language Resources and Evaluation, Jan 2014, Reykjavik, Iceland (2014)
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18
Reformatting clinical records based on global layout statistics
In: International Symposium on Semantic Mining in Biomedicine ; https://hal.archives-ouvertes.fr/hal-01831245 ; International Symposium on Semantic Mining in Biomedicine, Jan 2014, Aveiro, Portugal (2014)
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19
Human Annotation of ASR Error Regions: is "gravity" a Sharable Concept for Human Annotators?
In: Ninth International Conference on Language Resources and Evaluation (LREC'14) ; https://hal.archives-ouvertes.fr/hal-01134802 ; Ninth International Conference on Language Resources and Evaluation (LREC'14), May 2014, Reykjavik, Iceland. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pp.3050-3056, 2014 ; http://lrec2014.lrec-conf.org/en/ (2014)
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20
Approches à base de fréquences pour la simplification lexicale
In: TALN-RECITAL 2013 ; https://hal.archives-ouvertes.fr/hal-00838354 ; TALN-RECITAL 2013, Jun 2013, Les Sables d'Olonne, France. pp.493-506 (2013)
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