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Integrating Dependency Parses with Sequential Patterns to Improve Relation Extraction ; Apport des dépendances syntaxiques et des patrons séquentiels à l'extraction de relations
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In: TALN 2018 ; https://hal.inria.fr/hal-02079719 ; TALN 2018, May 2018, Rennes, France (2018)
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ANCOR-AS: Enriching the ANCOR Corpus with Syntactic Annotations
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In: LREC 2018 - 11th edition of the Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01744572 ; LREC 2018 - 11th edition of the Language Resources and Evaluation Conference, May 2018, Miyazaki, Japan ; http://lrec2018.lrec-conf.org/en/ (2018)
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Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR
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In: Computational Linguistics and Intelligent Text Processing. ; https://hal.archives-ouvertes.fr/hal-01889593 ; Computational Linguistics and Intelligent Text Processing., n° 9623-9624, Springer, 2018, Lecture Notes in Computer Science (2018)
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Universal Dependencies 2.2
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In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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Experiences in using deep and shallow parsing to detect entity mentions in oral French ; Apports des analyses syntaxiques pour la détection automatique de mentions dans un corpus de français oral
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In: TALN 2017 ; https://hal.inria.fr/hal-01558711 ; TALN 2017, Association pour le Traitement Automatique des Langues (ATALA), Jun 2017, Orléans, France ; http://taln2017.cnrs.fr (2017)
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Combining Syntactic and Sequential Patterns for Unsupervised Semantic Relation Extraction.
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In: https://hal.archives-ouvertes.fr/hal-01591501 ; CEUR-WS.org. Macedonia. 1881, pp.81-84, 2017, Interactions between Data Mining and Natural Language Processing 2017 (2017)
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Structured Named Entity Recognition by Cascading CRFs
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In: Intelligent Text Processing and Computational Linguistics (CICling) ; https://hal.archives-ouvertes.fr/hal-01579109 ; Intelligent Text Processing and Computational Linguistics (CICling), Apr 2017, Budapest, Hungary (2017)
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Label-Dependencies Aware Recurrent Neural Networks
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In: Intelligent Text Processing and Computational Linguistics (CICling) ; https://hal.archives-ouvertes.fr/hal-01579071 ; Intelligent Text Processing and Computational Linguistics (CICling), Apr 2017, Budapest, Hungary ; http://www.cicling.org/2017/ (2017)
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Abstract:
International audience ; In the last few years, Recurrent Neural Networks (RNNs) have proved effective on several NLP tasks. Despite such great success, their ability to model sequence labeling is still limited. This lead research toward solutions where RNNs are combined with models which already proved effective in this domain, such as CRFs. In this work we propose a solution far simpler but very effective: an evolution of the simple Jordan RNN, where labels are re-injected as input into the network, and converted into embeddings, in the same way as words. We compare this RNN variant to all the other RNN models, Elman and Jordan RNN, LSTM and GRU, on two well-known tasks of Spoken Language Understanding (SLU). Thanks to label embeddings and their combination at the hidden layer, the proposed variant, which uses more parameters than Elman and Jordan RNNs, but far fewer than LSTM and GRU, is more effective than other RNNs, but also outperforms sophisticated CRF models.
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Keyword:
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]
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URL: https://hal.archives-ouvertes.fr/hal-01579071/document https://hal.archives-ouvertes.fr/hal-01579071/file/2017Cicling_NewRNN_forarXiv.pdf https://hal.archives-ouvertes.fr/hal-01579071
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Syntax-based queries for non-specialists: a new perspective on similarity research
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In: American Association for Corpus Linguistics (AACL) & Technology for Second Language Learning (TSLL) ; https://halshs.archives-ouvertes.fr/halshs-01741060 ; American Association for Corpus Linguistics (AACL) & Technology for Second Language Learning (TSLL), Sep 2016, Ames (Iowa), United States (2016)
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De l'exemple construit à l'exemple attesté : un système de requêtes syntaxiques pour non-spécialistes
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In: Atelier Enseignement des Langues et TAL ; https://halshs.archives-ouvertes.fr/halshs-01399520 ; Atelier Enseignement des Langues et TAL, Jul 2016, Paris, France ; https://sites.google.com/site/eltal2016taln/home (2016)
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From built examples to attested examples: a syntax-based query system for non-specialists
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In: PACLIC30 ; https://halshs.archives-ouvertes.fr/halshs-01399523 ; PACLIC30, Jong-Bok Kim, Oct 2016, Seoul, South Korea ; http://paclic30.khu.ac.kr/ (2016)
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Understanding Social Media Texts with Minimum Human Effort on #Twitter
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In: Language and the new (instant) media (PLIN) ; https://hal.archives-ouvertes.fr/hal-01490018 ; Language and the new (instant) media (PLIN), May 2016, Louvain-la-Neuve, Belgium (2016)
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Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR
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In: 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing'2016) ; https://hal.archives-ouvertes.fr/hal-01344977 ; 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing'2016), Apr 2016, Konya, Turkey ; http://www.cicling.org/2016/ (2016)
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Semantic Annotation of the ACL Anthology Corpus for the Automatic Analysis of Scientific Literature
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In: LREC 2016 ; https://hal.archives-ouvertes.fr/hal-01360407 ; LREC 2016, May 2016, Portoroz, Slovenia (2016)
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DEMOCRAT : description et modélisation des chaînes de référence ; DEMOCRAT : description et modélisation des chaînes de référence: Outils pour l'annotation de corpus et le traitement automatique
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In: Salon Partenariats Recherche et Industries de la Langue (PAREIL), Vingt-troisième conférence sur le traitement automatique des langues naturelles (TALN 2016) ; https://hal.archives-ouvertes.fr/hal-01384485 ; Salon Partenariats Recherche et Industries de la Langue (PAREIL), Vingt-troisième conférence sur le traitement automatique des langues naturelles (TALN 2016), Jul 2016, Paris, France. 2016 (2016)
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Domain Adaptation for Named Entity Recognition Using CRFs
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In: LREC 2016 ; https://hal.archives-ouvertes.fr/hal-01473397 ; LREC 2016, May 2016, Portoroz, Slovenia ; http://lrec2016.lrec-conf.org/en/ (2016)
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New Recurrent Neural Network Variants for Sequence Labeling
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In: ISSN: 0302-9743 ; Lecture Notes in Computer Science ; 17th International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01489955 ; 17th International Conference on Intelligent Text Processing and Computational Linguistics, Apr 2016, Konya, Turkey (2016)
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Analyse syntaxique de l'ancien français : quelles propriétés de la langue influent le plus sur la qualité de l'apprentissage ?
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In: TALN 22 ; https://hal.archives-ouvertes.fr/hal-01251006 ; TALN 22, Jun 2015, Caen, France. ; https://taln2015.greyc.fr/articlesenlignetaln/ (2015)
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Étiquetage morpho-syntaxique de tweets avec des CRF
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In: TALN 2015 ; https://hal.archives-ouvertes.fr/hal-01473383 ; TALN 2015, Jun 2015, Caen, France ; https://taln2015.greyc.fr/ (2015)
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Coreference Resolution for Oral Corpus: a machine learning experiment with ANCOR corpus ; Les coréférences à l'oral : une expérience d'apprentissage automatique sur le corpus ANCOR
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In: ISSN: 1248-9433 ; EISSN: 1965-0906 ; Revue TAL ; https://halshs.archives-ouvertes.fr/halshs-01153297 ; Revue TAL, ATALA (Association pour le Traitement Automatique des Langues), 2015, Traitement automatique du langage parlé, 55 (2), pp.97-121 ; http://www.atala.org/-Volume-55- (2015)
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