Zobrazeno 1 - 10 of 27 pro vyhledávání: '"MESH : Natural Language Processing"'
1
Specializing Static and Contextual Embeddings in the Medical Domain Using Knowledge Graphs: Let's Keep It Simple
Autor: El Boukkouri, Hicham, Ferret, Olivier, Lavergne, Thomas, Zweigenbaum, Pierre
Publikováno v: Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (LOUHI)
International Workshop on Health Text Mining and Information Analysis (LOUHI)
International Workshop on Health Text Mining and Information Analysis (LOUHI), Dec 2022, Abu Dhabi (online), United Arab Emirates
International audience; Domain adaptation of word embeddings has mainly been explored in the context of retraining general models on large specialized corpora. While this usually yields good results, we argue that knowledge graphs, which are used les
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c3b27d78168adba8bc0744875a99e9f0
https://hal.science/hal-04046746
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2
TDAC, the First Time-Domain Astrophysics Corpus: Analysis and First Experiments on Named Entity Recognition
Autor: Alkan, Atilla Kaan, Grouin, Cyril, Schüssler, Fabian, Zweigenbaum, Pierre
Publikováno v: Proceedings of the first Workshop on Information Extraction from Scientific Publications
Workshop on Information Extraction from Scientific Publications
Workshop on Information Extraction from Scientific Publications, Nov 2022, Taipei (Online), Taiwan
International audience; The increased interest in time-domain astronomy over the last decades has resulted in a substantial increase in observation report publication leading to a saturation of how astrophysicists read, analyze and classify informati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::83671aaa3ab2bf8e6d57524f67253eba
https://hal.science/hal-04046837
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4
Overview of the 2022 BUCC Shared Task: Bilingual Term Alignment in Comparable Specialized Corpora
Autor: Adjali, Omar, Morin, Emmanuel, Sharoff, Serge, Rapp, Reinhard, Zweigenbaum, Pierre
Publikováno v: Proceedings of the 15th Workshop on Building and Using Comparable Corpora (BUCC 2022) @LREC2022
BUCC, 15th Workshop on Building and Using Comparable Corpora
BUCC, 15th Workshop on Building and Using Comparable Corpora, Jun 2022, Marseille, France. pp.67-76
International audience; The BUCC 2022 shared task addressed bilingual terminology alignment in comparable corpora. Many research groups are working on this problem using a wide variety of approaches. However, as there is no standard way to measure th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______165::5320c6db84fdfe60025f6337731d4e70
https://hal.science/hal-03867489/file/Adjali_BUCC2022.pdf
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5
MAPA Project: Ready-to-Go Open-Source Datasets and Deep Learning Technology to Remove Identifying Information from Text Documents
Autor: Arranz, Victoria, Choukri, Khalid, Cuadros, Montse, García-Pablos, Aitor, Gianola, Lucie, Grouin, Cyril, Herranz, Manuel, Paroubek, Patrick, Zweigenbaum, Pierre
Publikováno v: Proceedings of the LREC 2022 Joint Workshop on Legal and Ethical Issues in Human Language Technologies and Multilingual De-Identification of Sensitive Language Resources (LEGAL-MDLR 2022)
Joint Workshop on Legal and Ethical Issues in Human Language Technologies and Multilingual De-Identification of Sensitive Language Resources (LEGAL-MDLR 2022)
Joint Workshop on Legal and Ethical Issues in Human Language Technologies and Multilingual De-Identification of Sensitive Language Resources (LEGAL-MDLR 2022), Jun 2022, Marseille, France. pp.64-72
International audience; This paper presents the outcomes of the MAPA project, a set of annotated corpora for 24 languages of the European Union and an open-source customisable toolkit able to detect and substitute sensitive information in text docume
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::24156ba2442966d15382d5f20dbfbd4d
https://hal.science/hal-03873042
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6
Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction
Autor: Yeh, Katherine, Lavergne, Thomas, Zweigenbaum, Pierre
Publikováno v: LREC 2022-Language Resources and Evaluation Conference
LREC 2022-Language Resources and Evaluation Conference, Jun 2022, Marseille, France. pp.3780-3787
Relation extraction is a core problem for natural language processing in the biomedical domain. Recent research on relation extraction showed that prompt-based learning improves the performance on both fine-tuning on full training set and few-shot tr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2884119d9328430857971fa532d024d8
http://arxiv.org/abs/2204.10360
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7
Electronic health records for the diagnosis of rare diseases
Autor: Antoine Neuraz, Rémi Salomon, Anita Burgun, Nicolas Garcelon
Publikováno v: Kidney International
Kidney International, Nature Publishing Group, 2020, 97 (4), pp.676-686. ⟨10.1016/j.kint.2019.11.037⟩
International audience; With the emergence of electronic health records, the reuse of clinical data offers new perspectives for the diagnosis and management of patients with rare diseases. However, there are many obstacles to the repurposing of clini
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d507297d81a9a8f8bca5d1ea2d2d94f3
https://doi.org/10.1016/j.kint.2019.11.037
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8
Development of an Automatic Coding System for Digestive Endoscopies
Autor: Iris, Ternois, Jean-Baptiste, Escudie, Robert, Benamouzig, Catherine, Duclos
Publikováno v: Studies in Health Technology and Informatics
Studies in Health Technology and Informatics, IOS Press, 2021, 255, pp.107-111
International audience; Digestive endoscopies, along with all medical procedures in France are coded with the CCAM. This task is done by the physicians, is time-consuming and requires a good knowledge of the terminology besides a medical knowledge. T
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::e6c4091c05ea81d08a86582482839191
https://hal.archives-ouvertes.fr/hal-03479362
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9
The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding
Autor: Antoine, Neuraz, Bastien, Rance, Nicolas, Garcelon, Leonardo Campillos, Llanos, Anita, Burgun, Sophie, Rosset
Publikováno v: Studies in Health Technology and Informatics
Studies in Health Technology and Informatics, IOS Press, 2020, 270, pp.432-436. ⟨10.3233/SHTI200197⟩
International audience; Recent studies in the biomedical domain suggest that learning statistical word representations (static or contextualized word embeddings) on large corpora of specialized data improve the results on downstream natural language
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::31afc9ecea0290cb467741b2c9d69474
https://hal.inria.fr/hal-03476839
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10
Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic
Autor: Neuraz, Antoine, Lerner, Ivan, Digan, William, Paris, Nicolas, Tsopra, Rosy, Rogier, Alice, Baudoin, David, Cohen, Kevin Bretonnel, Burgun, Anita, Garcelon, Nicolas, Rance, Bastien
Publikováno v: Journal of Medical Internet Research
Journal of Medical Internet Research, JMIR Publications, 2020, 22 (8), pp.e20773. ⟨10.2196/20773⟩
Journal of Medical Internet Research, Vol 22, Iss 8, p e20773 (2020)
Journal of Medical Internet Research, 2020, 22 (8), pp.e20773. ⟨10.2196/20773⟩
BackgroundA novel disease poses special challenges for informatics solutions. Biomedical informatics relies for the most part on structured data, which require a preexisting data or knowledge model; however, novel diseases do not have preexisting kno
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::9bc3ab539f4f54bce90c6bef9fbae576
https://hal.archives-ouvertes.fr/hal-03119925
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