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Named and specific entity detection in varied data: the Quaero named entity baseline evaluation
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In: 7. Conference on international language resources and evaluation ; https://hal.inrae.fr/hal-02754184 ; 7. Conference on international language resources and evaluation, May 2010, Valletta, Malta ; http://www.lrec-conf.org/proceedings/lrec2010/index.html (2010)
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62 |
Named and specific entity detection in varied data: The Quaero Named Entity baseline evaluation
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In: Seventh International Language Resources and Evaluation (LREC'10) ; https://hal.archives-ouvertes.fr/hal-02496836 ; Seventh International Language Resources and Evaluation (LREC'10), 2010, La Valette, Malta (2010)
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63 |
Question answering on web data : the QA evaluation in Quaero
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In: Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC’10) ; International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-02282126 ; International Conference on Language Resources and Evaluation, Jan 2010, Valetta, Malta (2010)
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65 |
Collecte et analyses de réponses naturelles pour les systèmes de questions-réponses
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In: TALN 2009 ; https://hal.archives-ouvertes.fr/hal-00595110 ; TALN 2009, Jun 2009, France. pp.10 (2009)
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68 |
Apports de la linguistique dans les systèmes de recherche d'informations précises
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In: ISSN: 1386-1204 ; EISSN: 1875-368X ; Revue Française de Linguistique Appliquée ; https://hal.archives-ouvertes.fr/hal-02302686 ; Revue Française de Linguistique Appliquée, Paris : Publications linguistiques, 2008, 13 (1), pp.41--62 (2008)
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Semantic Relations for an Oral and Interactive Question-Answering System.
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In: Semantic Representation of Spoken Language 2007 ; SRSL7 (Semantic Representation of Spoken Language 2007) ; https://hal.archives-ouvertes.fr/hal-00515902 ; SRSL7 (Semantic Representation of Spoken Language 2007), Nov 2007, Salamanca, Spain. pp.12-19 (2007)
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Abstract:
International audience ; RITEL is an oral and QA dialogue system, which aims to enable a human to refine his research interactively. Analysis is based on typing of chunks, according to several categories: named, linguistic or specific entities. Since the system currently obtains promising results by using a research based on a common presence of the typed chunks in the documents and in the query, we are expecting better score quality by detecting semantic relations between the chunks. After a short description of the RITEL system, this paper describes the first step of our research to define and to detect generic semantic relations in the user's spoken utterances, by coping with difficulties of such an analysis: necessary quickness, recognition errors, asyntactical utterances. We also give the first results we have obtained, and some perspectives of our future works to extend the number of detected relations and to extend this detection to the documents.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Semantic Relations; Spoken Language Understanding
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URL: https://hal.archives-ouvertes.fr/hal-00515902 https://hal.archives-ouvertes.fr/hal-00515902/file/jevi_srog.srsl.pdf https://hal.archives-ouvertes.fr/hal-00515902/document
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The pitch of short-duration fundamental frequency glissandos
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In: ISSN: 0001-4966 ; EISSN: 1520-8524 ; Journal of the Acoustical Society of America ; https://hal.archives-ouvertes.fr/hal-02009053 ; Journal of the Acoustical Society of America, Acoustical Society of America, 1998, 104 (4), pp.2339-2348 (1998)
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