Výsledky vyhledávání - "Auguste, Jeremy"

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Semantic Frame Parsing for Information Extraction : the CALOR corpus

Autor: Marzinotto, Gabriel, Auguste, Jeremy, Bechet, Frederic, Damnati, Géraldine, Nasr, Alexis

Publikováno v: LREC2018, May 2018, Miyazaki, France

This paper presents a publicly available corpus of French encyclopedic history texts annotated according to the Berkeley FrameNet formalism. The main difference in our approach compared to previous works on semantic parsing with FrameNet is that we a

Externí odkaz: http://arxiv.org/abs/1812.08039

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Introduction to HistText – an Integrated Framework for the Datafication of Massive, Multilingual Digital Corpora. Fifth Annual GHI Conference on Digital Humanities and Digital History

Autor: Armand, Cécile, Auguste, Jeremy, Henriot, Christian

Publikováno v: Datafication in the Historical Humanities: Reconsidering Traditional Understandings of Sources and Data, Fifth Annual GHI Conference on Digital Humanities and Digital History
Datafication in the Historical Humanities: Reconsidering Traditional Understandings of Sources and Data, Fifth Annual GHI Conference on Digital Humanities and Digital History, Jun 2022, Washington, D.C., United States

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2b5832f3e017861cfb42e9be2469c252
https://hal.archives-ouvertes.fr/hal-03704756

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Conversational discourse parsing of chat conversations

Autor: Auguste, Jeremy

Publikováno v: Informatique et langage [cs.CL]. Aix-Marseille Université, 2020. Français
Informatique et langage [cs.CL]. Aix-Marseille Université, 2020. Français. ⟨NNT : ⟩

Dialogues are a central part of human society, and technological improvements only strengthen their use in more and more situations. Additional tools used to communicate from a distance allow the collection of large amounts of data,which can be used

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::db09f0d1e1c976fe2cafabd5303e27d5
https://tel.archives-ouvertes.fr/tel-03356464/file/201014_AUGUSTE_948bcain845olgb935bscx172btzrfm_TH.pdf

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Évaluation automatique de la satisfaction client à partir de conversations de type 'chat' par réseaux de neurones récurrents avec mécanisme d’attention

Autor: Auguste, Jeremy, Charlet, Delphine, Damnati, Géraldine, Favre, Benoit, Bechet, Frédéric

Publikováno v: actes TALN-RECITAL 2018
25e conférence sur le Traitement Automatique des Langues Naturelles (TALN)
25e conférence sur le Traitement Automatique des Langues Naturelles (TALN), 2018, Rennes, France

This paper presents methods to perform knowledge extraction from very large databases of WEBchat conversations between operators and clients in customer contact centers. Extracting knowledgefrom chat corpus is a challenging research issue. Simply app

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::beb17684bde64fe7bf82ab4cd478fd14
https://hal.archives-ouvertes.fr/hal-01943265/document

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Annotation en Actes de Dialogue pour les Conversations d’Assistance en Ligne

Autor: Perrotin, Robin, Nasr, Alexis, Auguste, Jeremy

Publikováno v: Actes TALN-RECITAL 2018
25e conférence sur le Traitement Automatique des Langues Naturelles (TALN)
25e conférence sur le Traitement Automatique des Langues Naturelles (TALN), 2018, Rennes, France

Technical online chats distinguish themselves from more usual natural language production. They arewritten dialogs between two locutors that are meant to solve the user’s problems. We describe heresuch chats with dialog acts annotation tailored for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d981c44471a9e1210bbd311caf5acc83
https://hal.archives-ouvertes.fr/hal-01943345/document

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Handling Normalization Issues for Part-of-Speech Tagging of Online Conversational Text

Autor: Damnati, Géraldine, Auguste, Jeremy, Nasr, Alexis, Charlet, Delphine, Heinecke, Johannes, Bechet, Frédéric

Publikováno v: LREC proceedings
Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Eleventh International Conference on Language Resources and Evaluation (LREC 2018), 2018, Miyazaki, Japan

International audience; For the purpose of POS tagging noisy user-generated text, should normalization be handled as a preliminary task or is it possibleto handle misspelled words directly in the POS tagging model? We propose in this paper a combined

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::145b5838eec6bddf2640af65f14c6671
https://hal.science/hal-01943391

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Can we predict self-reported customer satisfaction from interactions ?

Autor: Delphine Charlet, Jeremy Auguste, Géraldine Damnati, Frédéric Béchet, Benoit Favre

Publikováno v: International Conference on Acoustics, Speech and Signal Processing
International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019, Brighton, United Kingdom. ⟨10.1109/ICASSP.2019.8683896⟩
ICASSP

International audience; In the context of contact centers, customers' satisfaction after a conversation with an agent is a critical issue which has to be collected in order to detect problems and improve quality of service. Automatically predicting c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b98b5a45de296c73835e81e9a96f3443
https://hal.archives-ouvertes.fr/hal-02134252/document

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Skip Act Vectors: integrating dialogue context into sentence embeddings

Autor: Jeremy Auguste, Géraldine Damnati, Frédéric Béchet, Delphine Charlet

Publikováno v: Tenth International Workshop on Spoken Dialogue Systems Technology
Tenth International Workshop on Spoken Dialogue Systems Technology, Apr 2019, Syracuse, Italy
Lecture Notes in Electrical Engineering ISBN: 9789811593222
IWSDS

International audience; This paper compares several approaches for computing dialogue turn embeddings and evaluate their representation capacities in two dialogue act related tasks within a hierarchical Recurrent Neural Network architecture. These tu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2742ce3761d4a5119824ec948c8cb189
https://hal.archives-ouvertes.fr/hal-02125259/file/iwsds_auguste.pdf

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