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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 – 3 of 3 1 Leveraging lexical cohesion and disruption for topic segmentation Simon, Anca-Roxana; Gravier, Guillaume; Sébillot, Pascale In: Proceedings of International Conference on Empirical Methods in Natural Language Processing, EMNLP 2013 ; International Conference on Empirical Methods in Natural Language Processing, EMNLP 2013 ; https://hal.archives-ouvertes.fr/hal-00867011 ; International Conference on Empirical Methods in Natural Language Processing, EMNLP 2013, Oct 2013, Seattle, United States. pp.1314--1324 (2013) BASE Show details 2 Un modèle segmental probabiliste combinant cohésion lexicale et rupture lexicale pour la segmentation thématique Simon, Anca-Roxana; Gravier, Guillaume; Sébillot, Pascale In: TALN - Conférence sur le traitement automatique des langues naturelles ; https://hal.inria.fr/hal-00844112 ; TALN - Conférence sur le traitement automatique des langues naturelles, ATALA, Jun 2013, Les Sables d'Olonne, France ; http://www.taln2013.org/actes/www/TALN-2013/actes/taln-2013-long-015.pdf (2013) BASE Show details 3 Automatic Acquisition of GL Resources, Using an Explanatory, Symbolic Technique Claveau, Vincent; Sébillot, Pascale In: Advances in Generative Lexicon Theory ; https://hal.archives-ouvertes.fr/hal-00760258 ; Advances in Generative Lexicon Theory, Springer, pp.ch19, 2013 (2013) Abstract: This chapter presents a symbolic machine learning method that automatically infers, from descriptions of noun-verb pairs found in a corpus in which the verb plays (or not) one of the qualia roles of the noun, corpus-specific morpho-syntactic and semantic patterns that convey qualia relations. The patterns are explanatory and linguistically motivated, and can be applied to a corpus to efficiently extract GL resources and populate Generative Lexicons. The linguistic relevance of these patterns is examined, and the N-V qualia pairs that they can detect or not is discussed. Comparisons to other methods for corpus-based qualia couple extraction are also presented. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] URL: https://hal.archives-ouvertes.fr/hal-00760258/document https://hal.archives-ouvertes.fr/hal-00760258/file/Claveau-Sebillot.pdf https://hal.archives-ouvertes.fr/hal-00760258 BASE Hide details

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