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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Alignment of variable length terms in specialized comparable corpora ; Alignement de termes de longueurs variables en corpus comparables spécialisés Liu, Jingshu; Morin, Emmanuel; Saldarriaga, Sebastián 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) BASE Show details 2 Towards a unified framework for bilingual terminology extraction of single-word and multi-word terms Liu, Jingshu; Morin, Emmanuel; Saldarriaga, Sebastián 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) BASE Show details 3 A comparative study of target-based and entity-based opinion extraction Lark, Joseph; Morin, Emmanuel; Saldarriaga, Sebastián 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) Abstract: International audience ; Opinion target extraction is a crucial task of opinion mining, aiming to extract occurrences of the different entities of a corpus that are subjects of an opinion. In order to produce a readable and comprehen-sible opinion summary, these occurrences are aggregated under higher order labels, or entities, in a second task. In this paper we argue that combining the two tasks, i.e. extracting opinion targets using entities as labels instead of binary labels, yields better results for opinion extraction. We compare the binary and the multi-class approaches on available datasets in English and French, and conduct several investigation experiments to explain the promising results. Our experiments show that an entity-based labelling not only improves opinion extraction in a single domain setting, but also let us combine training data from different domains to improve the extraction, a result that has never been observed on target-based training data. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; annotation; aspect-based sentiment analysis; opinion mining URL: https://hal.archives-ouvertes.fr/hal-01537896 https://hal.archives-ouvertes.fr/hal-01537896/document https://hal.archives-ouvertes.fr/hal-01537896/file/paper_42.pdf BASE Hide details 4 Extraction d'opinions ambigües dans des corpus d'avis clients Lark, Joseph; Morin, Emmanuel; Saldarriaga, Sebastián 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) BASE Show details

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