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Annoter et prédire des représentations linguistiques de phrases
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In: https://hal.archives-ouvertes.fr/tel-03544267 ; Informatique et langage [cs.CL]. Université de Paris, 2022 (2022)
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Capability Language Processing (CLP): Classification and Ranking of Manufacturing Suppliers Based on Unstructured Capability Data
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Easy-to-use combination of POS and BERT model for domain-specific and misspelled terms
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In: NL4IA Workshop Proceedings ; https://hal.archives-ouvertes.fr/hal-03474696 ; NL4IA Workshop Proceedings, Nov 2021, Milan, Italy (2021)
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About Neural Networks and Writing Definitions
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In: ISSN: 2160-5076 ; Dictionaries: Journal of the Dictionary Society of North America Dictionary Society of North America ; https://hal.archives-ouvertes.fr/hal-03547452 ; Dictionaries: Journal of the Dictionary Society of North America Dictionary Society of North America, 2021, 42 (2), ⟨10.1353/dic.2021.0022⟩ (2021)
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Models of diachronic semantic change using word embeddings ; Modèles diachroniques à base de plongements de mot pour l'analyse du changement sémantique
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In: https://tel.archives-ouvertes.fr/tel-03199801 ; Document and Text Processing. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPASG006⟩ (2021)
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Transdisciplinary Analysis of a Corpus of French Newsreels: The ANTRACT Project
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In: ISSN: 1938-4122 ; Digital Humanities Quarterly ; https://hal.archives-ouvertes.fr/hal-03166755 ; Digital Humanities Quarterly, Alliance of Digital Humanities, 2021, Special Issue on AudioVisual Data in DH, 15 (1) ; http://digitalhumanities.org/dhq/ (2021)
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TRUNAJOD: A text complexity library to enhance natural language processing ...
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TRUNAJOD: A text complexity library to enhance natural language processing ...
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HeadlineStanceChecker: Exploiting summarization to detect headline disinformation
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Dataset for Temporal Analysis of English-French Cognates
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In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; 12th Conference on Language Resources and Evaluation (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-03026957 ; 12th Conference on Language Resources and Evaluation (LREC 2020), May 2020, Marseille, France. pp.855-859, ⟨10.5281/zenodo.3693650⟩ (2020)
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Towards the Prediction of Semantic Complexity Based on Concept Graphs ; Vers la prédiction de complexité sémantique fondée sur les graphes de concepts
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In: 12th International Conference on Educational Data Mining (EDM 2019) ; https://hal.archives-ouvertes.fr/hal-02315319 ; 12th International Conference on Educational Data Mining (EDM 2019), Jul 2019, Montreal, Canada. pp.188-197 ; educationaldatamining.org/EDM2019/ (2019)
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Towards a DRS Parsing Framework for French
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In: Proceedings Advances in Natural Language Processing ; SNAMS 2019 : Sixth International Conference on Social Networks Analysis, Management and Security ; https://hal.archives-ouvertes.fr/hal-02280800 ; SNAMS 2019 : Sixth International Conference on Social Networks Analysis, Management and Security, Oct 2019, Granada, Spain. ⟨10.1109/SNAMS.2019.8931868⟩ (2019)
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A Multilingual Semantic Similarity-Based Approach for Question-Answering Systems
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In: International Conference on Knowledge Science, Engineering and Management KSEM 2019 ; https://hal.archives-ouvertes.fr/hal-02465511 ; International Conference on Knowledge Science, Engineering and Management KSEM 2019, Aug 2019, Athènes, Greece. ⟨10.1007/978-3-030-29551-6_54⟩ (2019)
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Ligt: An LLOD-Native Vocabulary for Representing Interlinear Glossed Text as RDF
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Ionov, Maxim; Chiarcos, Christian. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
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Semantic Network Analysis Pipeline—Interactive Text Mining Framework for Exploration of Semantic Flows in Large Corpus of Text
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In: Applied Sciences ; Volume 9 ; Issue 24 (2019)
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Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems
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BAYOMI, MOSTAFA MOHAMED. - : Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2019
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Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems
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BAYOMI, MOSTAFA. - : Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2019
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Extraction d'interactions entre aliment et médicament : Etat de l'art et premiers résultats
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In: Rencontres des Jeunes Chercheur-euse-s ; https://hal.archives-ouvertes.fr/hal-01836499 ; Rencontres des Jeunes Chercheur-euse-s, May 2018, Rennes, France (2018)
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Abstract:
Extraction of food-drug interactions: State of the art and first results.In this paper, we are interested in the extraction of food-drug interactions (FDI), a task which is similar to the extraction of relation between terms in specialized texts. Many approaches have been proposed for extracting relations from texts, including lexico-syntactic patterns, statistical learning-based methods, and more recently deep learning-based methods. From this state of the art, we present a supervised classification method and the results of a first set of experiments. Despite the imbalance of classes, the results are encouraging. We have identified the most relevant classifiers according to the steps of our methods. We have also observed the important impact of the semantic tags of terms used as features. ; Dans cet article, nous nous intéressons à l'extraction des interactions entre médicaments et aliments, une tâche qui s'apparente à l'extraction de relations entre termes dans les textes de spécialité. De nombreuses approches ont été proposées pour extraire des relations à partir de textes : des patrons lexico-syntaxiques, de la classification supervisée, et plus récemment de l'apprentissage profond. A partir de cet état de l'art, nous présentons une méthode basée sur un apprentissage supervisé et les résultats d'une première série d'expériences. Malgré le déséquilibre des classes, les résultats sont encourageants. Nous avons ainsi pu identifier les classifieurs les plus performants suivant les étapes. Nous avons également observé l'impact important des catégories sémantiques des termes commedescripteurs.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [INFO]Computer Science [cs]; Classification supervisée; Corpus de spécialité; Food-Drug Interaction; Interaction aliment-médicament; Relation sémantique; Semantic relation; Specialized corpora
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URL: https://hal.archives-ouvertes.fr/hal-01836499/document https://hal.archives-ouvertes.fr/hal-01836499 https://hal.archives-ouvertes.fr/hal-01836499/file/Extraction_d_interactions_entre_aliment_et_m_dicament____Etat_de_l_art_et_premiers_r_sultats.pdf
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