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Apprendre à traduire en Sciences Humaines : les stratégies utilisées par les apprentis traducteurs
In: 1er Congrès Mondial de Traductologie ; https://halshs.archives-ouvertes.fr/halshs-03650298 ; 1er Congrès Mondial de Traductologie, Florence LAUTEL-RIBSTEIN; Cornelius CROWLEY; Jean-Luc MINEL; David ELDER; Henry HERNANDEZ BAYTER; Myriam DJEDI, Apr 2017, Nanterre, France ; https://crea.parisnanterre.fr/colloques-et-journees-detude/1er-congres-mondial-de-traductologie (2017)
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2
A navegação textual na didática da escrita : o exemplo das astruturas enumerativas
In: Leitura, escrita e tecnologias da informação ; https://hal.archives-ouvertes.fr/hal-01880818 ; Ana Luisa Tinoco Cabral et Jean-Luc Minel. Leitura, escrita e tecnologias da informação, Terracota, pp.139-176, 2015, Coleção Linguagem e Tecnologia (2015)
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3
Improving Speculative Language Detection using Linguistic Knowledge
In: http://www.aclweb.org/anthology/W/W12/W12-3805.pdf (2012)
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4
Montevideo
In: http://halshs.archives-ouvertes.fr/docs/00/53/29/86/PDF/Enriching_the_Bioscope_Corpus_with_Lexical_and_Syntactic_Information.pdf (2010)
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5
J-L.: Resources for Calendar Expressions Semantic Tagging and Temporal Navigation through Texts
In: http://halshs.archives-ouvertes.fr/docs/00/48/59/00/PDF/118_Paper_LREC2010.pdf (2010)
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6
United States (2009)" “Confortation”: about a new qualitative category for analyzing biomedical texts
In: http://hal.archives-ouvertes.fr/docs/00/43/08/12/PDF/ISWC2009.pdf (2009)
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7
Quelle plateforme pour le filtrage sémantique
In: Filtrage sémantique, de l'annotation à la navigation textuelle ; https://halshs.archives-ouvertes.fr/halshs-00366528 ; Jean-Luc Minel. Filtrage sémantique, de l'annotation à la navigation textuelle, Hernmès Lavoiisier, pp.225-250, 2009, Traité IC2 (2009)
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8
Filtrage sémantique et temporalité linguistique
In: Filtrage sémantique, De l’annotation à la navigation textuelle ; https://halshs.archives-ouvertes.fr/halshs-01705731 ; Jean-Luc Minel. Filtrage sémantique, De l’annotation à la navigation textuelle, Hermès, pp.67-108, 2009 (2009)
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9
Text Linguistics and Navigation: Questions about Text
In: http://hal.archives-ouvertes.fr/docs/00/43/11/99/PDF/Couto_Minel_FINAL.pdf (2009)
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10
Document annotation and ontology population from linguistic extractions
In: https://halshs.archives-ouvertes.fr/file/index/docid/102591/filename/fp66-amardeilh_draft.pdf (2005)
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11
Designing Tasks of Identification of Complex Linguistic Patterns used for Text Semantic Filtering
In: http://www.LaLIC.paris4.sorbonne.fr/~minel/fichiers/RIA2000.pdf (2000)
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12
Textual Processing and Contextual Exploration Method
In: http://lalic.paris-sorbonne.fr/PUBLICATIONS/1997-1998/Descles/Rio97.pdf (1997)
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13
How to Appreciate the Quality of Automatic Text Summarization? Examples of FAN and MLUCE Protocols and their Results on SERAPHIN
In: http://www.LaLIC.paris4.sorbonne.fr/~minel/fichiers/EACL.pdf (1997)
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14
Designing Tasks of Identification of Complex Linguistic Patterns used for Text Semantic Filtering
In: http://www.lalic.paris4.sorbonne.fr/articles/1999-2000/BenHazez/RIAO2000.pdf
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15
The Standardization Process: Exploring the Battlefield
In: http://hal.inria.fr/docs/00/71/16/08/PDF/PROS-042_P.pdf
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16
Combining Rules and CRF Learning for Opinion Source Identification in Spanish Texts
In: http://hal.inria.fr/docs/00/78/53/81/PDF/76370452.pdf
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17
“Confortation”: about a new qualitative category for analyzing biomedical texts
In: http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-523/Battistelli.pdf
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18
Information Retrieval: Ranking Results according to Calendar Criteria
In: http://hal.inria.fr/docs/00/71/83/18/PDF/DraftIMPU.pdf
Abstract: Abstract. Our work deals with calendar information as it is expressed in natural language (NL), that is to say through textual units such as prepositional phrases or noun phrases (e.g. in the 90s, at the beginning of the XVth century). We call these textual units Calendar Expressions (CE). Our work aims at showing how Information Retrieval systems can benefit from dealing with CE. In this paper we describe our overall approach which consists in a formal analysis of CEs that leads to a semantic representation. We then detail an algorithm that uses this representation to filter and rank CEs embedded in texts, according to a query containing a CE. The algorithm is integrated in an experimental search engine (called CaSE). Our representation of calendar information as it is expressed in NL and the function which computes the proximity between the two CEs, one in the text and the other in the query, provides a mean to process a query without any overlapping. 1
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.593.5533
http://hal.inria.fr/docs/00/71/83/18/PDF/DraftIMPU.pdf
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19
Calendar expressions ordering in text corpora
In: http://halshs.archives-ouvertes.fr/docs/00/15/98/74/PDF/SchBatMinNLDBProcPoster07.pdf
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20
A linguistic and navigational knowledge approach to text navigation
In: http://halshs.archives-ouvertes.fr/docs/00/20/32/86/PDF/IJCNLP08.pdf
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