Zobrazeno 1 - 10 of 38 pro vyhledávání: '"Nicolas Béchet"'
1
A 3-phase approach based on sequential mining and dependency parsing for enhancing hypernym patterns performance
Autor: Mounira Harzallah, Nicolas Béchet, Ahmad Issa Alaa Aldine, Giuseppe Berio, Ahmad Faour
Publikováno v: Knowledge Engineering Review
Knowledge Engineering Review, 2021, 36, ⟨10.1017/S0269888921000126⟩
Knowledge Engineering Review, Cambridge University Press (CUP), 2021, 36, ⟨10.1017/S0269888921000126⟩
Patterns have been extensively used to extract hypernym relations from texts. The most popular patterns are Hearst’s patterns, formulated as regular expressions mainly based on lexical information. Experiences have reported good precision and low r
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6314ff1b3c8e4420010d9031b098c35a
https://hal.science/hal-03502370
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2
TREMoLo-Tweets: a Multi-Label Corpus of French Tweets for Language Register Characterization
Autor: Jade Mekki, Delphine Battistelli, Nicolas Béchet, Gwénolé Lecorvé
Publikováno v: RANLP 2021-Recent Advances in Natural Language Processing
RANLP 2021-Recent Advances in Natural Language Processing, Sep 2021, Varna, Bulgaria
RANLP
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
International audience; The casual, neutral, and formal language registers are highly perceptible in discourse productions. However, they are still poorly studied in Natural Language Processing (NLP), especially outside English, and for new textual t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7cb0d106602df2134f33a570c621bef
https://hal.archives-ouvertes.fr/hal-03331738/file/TREMoLo_Tweets__a_Multi_Label_Corpus_of_French_Tweets_for_Language_Register_Characterization-1.pdf
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3
Mama/Papa, Is this Text for Me?
Autor: Delphine Battistelli, Jonathan Chevelu, Rashedur Rahman, Aline Étienne, Gwénolé Lecorvé, Nicolas Béchet
Publikováno v: International Conference on Computational Linguistics
International Conference on Computational Linguistics, Dec 2020, Virtuel, Spain
HAL
Proceedings of the 28th International Conference on Computational Linguistics
International Conference on Computational Linguistics, Dec 2020, Virtuel, Spain. pp.6296-6301, ⟨10.18653/v1/2020.coling-main.554⟩
COLING
International audience; Children have less linguistic skills than adults, which makes it more difficult for them to understand some texts, for instance when browsing the Internet. In this context, we present a novel method which predicts the minimal
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11d0f8c35cd6449034590ff1814f61b7
https://hal.archives-ouvertes.fr/hal-03112352
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4
DHPs: Dependency Hearst’s Patterns for Hypernym Relation Extraction
Autor: Giuseppe Berio, Ahmad Faour, Nicolas Béchet, Mounira Harzallah, Ahmad Issa Alaa Aldine
Publikováno v: Knowledge Discovery, Knowledge Engineering and Knowledge Management
Knowledge Discovery, Knowledge Engineering and Knowledge Management, 1222, Springer International Publishing, pp.228-244, 2020, Communications in Computer and Information Science, ⟨10.1007/978-3-030-49559-6_11⟩
Communications in Computer and Information Science ISBN: 9783030495589
IC3K
Hearst’s patterns are lexico-syntactic patterns that have been extensively used to extract hypernym relations from texts. They are defined as regular expressions based on lexical and syntactical information of each word. Here, we propose a new form
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::187e7502b22aea9d814c5235a87916d4
https://hal.archives-ouvertes.fr/hal-03502377
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5
Extraction of Terminology in the Field of Construction
Autor: Nicolas Béchet, Giuseppe Berio, Rémy Kessler
Publikováno v: 2019 First International Conference on Digital Data Processing (DDP)
2019 First International Conference on Digital Data Processing (DDP), Nov 2019, London, United Kingdom. pp.22-26, ⟨10.1109/DDP.2019.00015⟩
We describe a corpus analysis method to extract terminology from a collection of technical specifications in the field of construction. Using statistics and word n-grams analysis, we extract the terminology of the domain and then perform pruning step
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dc5408d1df478a490a50abfacaa33c9
https://hal.science/hal-02453857
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6
A Word Embedding Approach to Explore a Collection of Discussions of People in Psychological Distress
Autor: Gudrun Ledegen, Frédéric Pugnière-Saavedra, Rémy Kessler, Nicolas Béchet
Publikováno v: 2019 First International Conference on Digital Data Processing (DDP)
2019 First International Conference on Digital Data Processing (DDP), Nov 2019, London, United Kingdom. pp.18-21, ⟨10.1109/DDP.2019.00014⟩
In order to better adapt to society, an association has developed a web chat application that allows anyone to express and share their concerns and anguishes. Several thousand anonymous conversations have been gathered and form a new corpus of storie
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14f88c69035c12f3c5f9afe592d6d36c
https://hal.science/hal-02453846
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7
La vulnérabilité dans le dire : de la mise en mots du stigmate à sa construction sociale
Autor: Nicolas Béchet, Nathalie Garric, Remy Kessler, Frédéric PUGNIERE-SAAVEDRA, Gudrun Ledegen
Publikováno v: Signes, Discours et Sociétés : Revue semestrielle en sciences humaines et sociales dédiée à l'analyse des Discours
Signes, Discours et Sociétés : Revue semestrielle en sciences humaines et sociales dédiée à l'analyse des Discours, 2019
Signes, Discours et Sociétés : Revue semestrielle en sciences humaines et sociales dédiée à l'analyse des Discours, Université Galatasaray, 2019
HAL
International audience
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0ade8308bf8a44c1286af1d8cb9ac2c4
https://hal.science/hal-02373246
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9
Exploration par apprentissage de discussions de personnes en détresse psychologique
Autor: Rémy Kessler, Nicolas Béchet, Gudrun Ledegen, Frédéric PUGNIERE-SAAVEDRA
Publikováno v: 29es Journées Francophones d'Ingénierie des Connaissances, IC 2018
29es Journées Francophones d'Ingénierie des Connaissances, IC 2018, Jul 2018, Nancy, France. pp.95-102
HAL
National audience; Afin de s'adapter au mieux à la société, une association a développé une application de webchat permettant à toute personne d'exprimer et de partager ses préoccupations et ses malaises. Plusieurs milliers de conversations an
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3cca8ff28b039b7fe7661a0f58fefd36
https://hal.archives-ouvertes.fr/hal-01839561
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10
Intrusion Detection in Network Systems Through Hybrid Supervised and Unsupervised Machine Learning Process: A Case Study on the ISCX Dataset
Autor: Nicolas Béchet, Pierre-François Marteau, Saeid Soheily-Khah
Publikováno v: ICDIS
2018 1st International Conference on Data Intelligence and Security (ICDIS)
2018 1st International Conference on Data Intelligence and Security (ICDIS), Apr 2018, South Padre Island, France. ⟨10.1109/ICDIS.2018.00043⟩
Data mining techniques play an increasing role in the intrusion detection by analyzing network data and classifying it as 'normal' or 'intrusion'. In recent years, several data mining techniques such as supervised, semi-supervised and unsupervised le
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a472fbd78c26a299bde8e1dc41bd9c78
https://doi.org/10.1109/icdis.2018.00043
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