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A unified and unsupervised framework for bilingual phrase alignment on specialized comparable corpora
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In: 24th European Conference on Artificial Intelligence (ECAI) ; https://hal.archives-ouvertes.fr/hal-02447593 ; 24th European Conference on Artificial Intelligence (ECAI), Jun 2020, Santiago de Compostela, Spain (2020)
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Alignment of variable length terms in specialized comparable corpora ; Alignement de termes de longueurs variables en corpus comparables spécialisés
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In: 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN) ; https://hal.archives-ouvertes.fr/hal-02001678 ; 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN), May 2018, Rennes, France (2018)
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Towards a unified framework for bilingual terminology extraction of single-word and multi-word terms
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In: 27th International Conference on Computational Linguistics (COLING) ; https://hal.archives-ouvertes.fr/hal-02001236 ; 27th International Conference on Computational Linguistics (COLING), Aug 2018, Santa Fe, United States. pp.2855 - 2866 (2018)
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A comparative study of target-based and entity-based opinion extraction
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In: Proceedings of CICLing 2017 ; 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing) ; https://hal.archives-ouvertes.fr/hal-01537896 ; 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), Apr 2017, Budapest, Hungary (2017)
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Extraction d'opinions ambigües dans des corpus d'avis clients
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In: Actes de TALN 2016 ; 23e conférence sur le Traitement Automatique des Langues Naturelles (TALN) ; https://hal.archives-ouvertes.fr/hal-01537885 ; 23e conférence sur le Traitement Automatique des Langues Naturelles (TALN), Jul 2016, Paris, France. pp.451-458 (2016)
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CANÉPHORE~: a French corpus for aspect-based sentiment analysis evaluation ; CANÉPHORE : un corpus français pour la fouille d'opinion ciblée
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In: 22e conférence sur le Traitement Automatique des Langues Naturelles (TALN) ; https://hal.archives-ouvertes.fr/hal-01169293 ; 22e conférence sur le Traitement Automatique des Langues Naturelles (TALN), Jun 2015, Caen, France ; https://taln2015.greyc.fr/ (2015)
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Consumer Concern Extraction in Social Web Reviews ; Origine des inquiétudes des consommateurs dans les critiques sur les sites sociaux
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In: International Conference on Digital Intelligence 2014 ; https://hal.archives-ouvertes.fr/hal-01142648 ; International Conference on Digital Intelligence 2014, Sep 2014, Nantes, France ; http://www.di2014.org/ (2014)
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Métarecherche pour l'extraction lexicale bilingue à partir de corpus comparables
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In: 18e Conférence sur le Traitement Automatique des Langues Naturelles (TALN) ; https://hal.archives-ouvertes.fr/hal-00608210 ; 18e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), Jun 2011, Montpellier, France. pp.283-293 (2011)
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Bilingual Lexicon Extraction from Comparable Corpora as Metasearch
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In: 4th Workshop on Building and Using Comparable Corpora: Comparable Corpora and the Web ; https://hal.archives-ouvertes.fr/hal-00608481 ; 4th Workshop on Building and Using Comparable Corpora: Comparable Corpora and the Web, Jun 2011, Portland, United States. pp.35-43 (2011)
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On-line handwritten text categorization
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In: Proceedings of Document Recognition and Retrieval XVI, IS&T/SPIE International Symposium on Electronic Imaging ; Document Recognition and Retrieval XVI (DRR 2009) ; https://hal.archives-ouvertes.fr/hal-00405408 ; Document Recognition and Retrieval XVI (DRR 2009), Jan 2009, San José, United States. pp.724709, ⟨10.1117/12.804355⟩ (2009)
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Abstract:
International audience ; As new innovative devices, accepting or producing on-line documents, emerge, managing facilities for these kinds of documents such as topic spotting are required. This means that we should be able to perform text categorization of on-line documents. The textual data available in on-line documents can be extracted through online recognition, a process which produces noise, i.e. errors, in the resulting text. This work reports experiments on categorization of on-line handwritten documents based on their textual contents. We analyze the effect of the word recognition rate on the categorization performances, by comparing the performances of a categorization system over the texts obtained through on-line handwriting recognition and the same texts available as ground truth. Two categorization algorithms (kNN and SVM) are compared in this work. A subset of the Reuters-21578 corpus consisting of more than 2000 handwritten documents has been collected for this study. Results show that accuracy loss is not significant, and precision loss is only significant for recall values of 60%-80% depending on the noise levels.
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Keyword:
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
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URL: https://doi.org/10.1117/12.804355
https://hal.archives-ouvertes.fr/hal-00405408
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Categorization of on-line handwritten documents
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In: Proeedings of the Eighth IAPR International Workshop on Document Analysis Systems ; Eighth IAPR International Workshop on Document Analysis Systems (DAS 2008) ; https://hal.archives-ouvertes.fr/hal-00405402 ; Eighth IAPR International Workshop on Document Analysis Systems (DAS 2008), Sep 2008, Nara, Japan. pp.95-102, ⟨10.1109/DAS.2008.45⟩ (2008)
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