Le résumé et le titrage automatique partagent-ils les mêmes objectifs ?

Autor: Cédric Lopez, Violaine Prince, Mathieu Roche

Publikováno v: Corela, Vol 11, Iss 1

In the literature, automatic summarization and automatic titling tasks are often merged. It seems that a short summary can be considered as a relevant title. But can we compare a title and a summary without having previously studied their criteria? T

Externí odkaz: https://doaj.org/article/98caf9c0f233482897cc0977a3c68b13

Syntactic and Semantic Impact of Prepositions in Machine Translation : An Empirical Study of French-English Translation of Prepositions ‘à’, ‘de’ and ‘en’

Autor: Violaine Prince

Publikováno v: Human Language Technology. Challenges for Computer Science and Linguistics 8th Language and Technology Conference, LTC 2017, Poznań, Poland, November 17–19, 2017, Revised Selected Papers
8th Language and Technology Conference (LTC 2017)
Human Language Technology. Challenges for Computer Science and Linguistics 8th Language and Technology Conference, LTC 2017, Poznań, Poland, November 17–19, 2017, Revised Selected Papers, 12598, pp.273-287, 2020, Lecture Notes in Computer Science, 978-3-030-66526-5. ⟨10.1007/978-3-030-66527-2_20⟩
Human Language Technology. Challenges for Computer Science and Linguistics ISBN: 9783030665265
LCT

International audience; This paper presents a study about ambiguous French prepositions, stressing out their roles as dependencies introducers, in order to derive some translation heuristics into English, based on a FrenchEnglish set of parallel text

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a4215bb45e456658882a494d5222014
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03091307

Knowledge Acquisition Modeling Through Dialogue Between Cognitive Agents

Autor: Mehdi Yousfi-Monod, Violaine Prince

Publikováno v: International Journal of Intelligent Information Technologies. 3:60-78

This article tackles learning and communication between cognitive artificial agents. Our focus is on dialogue as the only way for agents to acquire knowledge, as it often happens in natural situations. Since this restriction has scarcely been studied

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c6d0b6d8807c193ea7648ddee3a50c1
https://doi.org/10.4018/jiit.2007010104

Mining Tweet Data - Statistic and semantic information for political tweet classification

Autor: Guillaume Tisserant, Mathieu Roche, Violaine Prince

Publikováno v: 6th International Conference on Knowledge Discovery and Information Retrieval
KDIR: Knowledge Discovery and Information Retrieval
KDIR: Knowledge Discovery and Information Retrieval, Oct 2014, Rome, Italy. pp.523-529, ⟨10.5220/0005170205230529⟩
KDIR
Proceedings of the 6th International Conference on Knowledge Discovery and Information Retrieval : KDIR 2014, Rome, Italy, 21-24 October, 2014
Scopus-Elsevier

KDIR is part of IC3K, the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management; International audience; This paper deals with the quality of textual features in messages in order to classify tweets. Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c11641423960ed891194cf555729459
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01054908/document

How to Combine Text-Mining Methods to Validate Induced Verb-Object Relations?

Autor: Mathieu Roche, Violaine Prince, Nicolas Béchet, Jacques Chauché

Publikováno v: Computer Science and Information Systems
Computer Science and Information Systems, ComSIS Consortium, 2014, 11 (1), pp.133-155. ⟨10.2298/CSIS130528021B⟩
Computer Science and Information Systems, ComSIS Consortium, 2014, 11 (1), pp.133-155. ⟨10.2298/csis130528021b⟩

This paper describes methods using Natural Language Processing approaches to extract and validate induced syntactic relations (here restricted to the Verb-Object relation). These methods use a syntactic parser and a semantic closeness measure to extr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ef7a4639e3cc85c23dfbe2989c6d2fd
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01054918/file/ComSIS_471-1305.pdf