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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 Page: 1 2 3 4 5 6 7 8 9...11 Hits 81 – 100 of 210 81 Lexical Knowledge Acquisition: Towards a Continuous and Flexible Representation of the Lexicon Marchal, Pierre; Poibeau, Thierry In: Workshop on Cognitive Knowledge Acquisition and Applications ; https://hal.archives-ouvertes.fr/hal-01420714 ; Workshop on Cognitive Knowledge Acquisition and Applications, Jul 2016, New York, United States ; http://cognitum.ws/ (2016) BASE Show details 82 Exploring a Continuous and Flexible Representation of the Lexicon Marchal, Pierre; Poibeau, Thierry In: 26th International Conference on Computational Linguistics (COLING 2016) ; https://hal.archives-ouvertes.fr/hal-01422479 ; 26th International Conference on Computational Linguistics (COLING 2016), Dec 2016, Osaka, Japan. pp.297-301 ; https://www.aclweb.org/anthology/C/C16/C16-2062.pdf (2016) BASE Show details 83 Climate Negotiation Analysis Ruiz, Pablo; Plancq, Clément; Poibeau, Thierry In: Digital Humanities 2016 ; https://hal.archives-ouvertes.fr/hal-01423299 ; Digital Humanities 2016, Jagiellonian University and Pedagogical University, Jul 2016, Cracovie, Poland. pp.663-666 ; http://dh2016.adho.org/ (2016) BASE Show details 84 Exploring a Continuous and Flexible Representation of the Lexicon Marchal, Pierre; Poibeau, Thierry In: https://hal-inalco.archives-ouvertes.fr/hal-01386311 ; 2016 (2016) BASE Show details 85 A Continuum-based Model of Lexical Acquisition Marchal, Pierre; Poibeau, Thierry In: Proceedings for the CICLING 2016 Conference ; CICLing Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01349563 ; CICLing Conference on Intelligent Text Processing and Computational Linguistics, Apr 2016, Konya, Turkey (2016) BASE Show details 86 Analyse des références et des transitions référentielles : l'apport de la linguistique outillée Landragin, Frédéric; Poibeau, Thierry; Victorri, Bernard In: Connexion et indexation. Ces liens qui tissent le texte ; https://halshs.archives-ouvertes.fr/halshs-01332553 ; Laure Sarda; Denis Vigier; Bernard Combettes. Connexion et indexation. Ces liens qui tissent le texte, ENS Editions, pp.123-135, 2016, 978-2-84788-798-3 (2016) BASE Show details 87 More than Word Cooccurrence: Exploring Support and Opposition in International Climate Negotiations with Semantic Parsing Ruiz, Pablo; Plancq, Clément; Poibeau, Thierry In: Proceedings of LREC, the 10th Language Resources and Evaluation Conference ; LREC: The 10th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-01326692 ; LREC: The 10th Language Resources and Evaluation Conference, ELRA, May 2016, Portorož, Slovenia. pp.1902 ; http://lrec2016.lrec-conf.org/en/ (2016) BASE Show details 88 Exploring Natural Language Processing Methods for Finno-Ugric Langages Poibeau, Thierry; Fagard, Benjamin In: Second International Workshop on Computational Linguistics for Uralic Languages ; https://hal.archives-ouvertes.fr/hal-01273769 ; Second International Workshop on Computational Linguistics for Uralic Languages, Jan 2016, Szeged, Hungary (2016) BASE Show details 89 Traduire sans comprendre ? La place de la sémantique en traduction automatique Poibeau, Thierry In: ISSN: 0458-726X ; EISSN: 1958-9549 ; Langages ; https://hal.archives-ouvertes.fr/hal-01273768 ; Langages, Armand Colin (Larousse jusqu'en 2003), 2016, 201 (2016) BASE Show details 90 The Role of Intrinsic Motivation in Artificial Language Emergence: a Case Study on Colour Cornudella Gaya, Miquel; Poibeau, Thierry; Van Trijp, Remi In: COLING 2016, the 26th International Conference on Computational Linguistics ; 26th International Conference on Computational Linguistics (COLING 2016) ; https://hal.archives-ouvertes.fr/hal-01422478 ; 26th International Conference on Computational Linguistics (COLING 2016), Dec 2016, Osaka, Japan. pp.1646 - 1656 ; http://www.aclweb.org/anthology/C/C16/C16-1155.pdf (2016) BASE Show details 91 Identifying usage patterns in corpus data: A multifactorial account of stance-taking markers in English and French Krawczak, Karolina,; Col, Gilles; Mélanie-Becquet, Frédérique... In: TAM‐E 2016 Conference, Université Paris-Diderot ; https://hal.archives-ouvertes.fr/hal-02524880 ; TAM‐E 2016 Conference, Université Paris-Diderot, Nov 2016, Paris, France (2016) BASE Show details 92 A Continuum-based Model of Lexical Acquisition Marchal, Pierre; Poibeau, Thierry In: Proceedings for the CICLING 2016 Conference ; CICLing Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01349563 ; CICLing Conference on Intelligent Text Processing and Computational Linguistics, Apr 2016, Konya, Turkey (2016) BASE Show details 93 Exploring a Continuous and Flexible Representation of the Lexicon Marchal, Pierre; Poibeau, Thierry In: 26th International Conference on Computational Linguistics (COLING 2016) ; https://hal.archives-ouvertes.fr/hal-01422479 ; 26th International Conference on Computational Linguistics (COLING 2016), Dec 2016, Osaka, Japan. pp.297-301 ; https://www.aclweb.org/anthology/C/C16/C16-2062.pdf (2016) BASE Show details 94 Exploring a Continuous and Flexible Representation of the Lexicon Marchal, Pierre; Poibeau, Thierry In: https://hal-inalco.archives-ouvertes.fr/hal-01386311 ; 2016 (2016) BASE Show details 95 Lexical Knowledge Acquisition: Towards a Continuous and Flexible Representation of the Lexicon Marchal, Pierre; Poibeau, Thierry In: Workshop on Cognitive Knowledge Acquisition and Applications ; https://hal.archives-ouvertes.fr/hal-01420714 ; Workshop on Cognitive Knowledge Acquisition and Applications, Jul 2016, New York, United States ; http://cognitum.ws/ (2016) Abstract: International audience ; The automatic acquisition of lexical knowledge is an important issue for natural language processing. Lots of work has been done since two decades in this domain, but we think there is still room for improvement as we need to develop both efficient and cognitively plausible models. In this paper, we focus on verbs since verbs is the pivot of the sentence and we have a closer look at two fundamental aspects of the description of the verb: the notion of lexical item and the distinction between arguments and adjuncts. Following up on studies in natural language processing and linguistics, we embrace the double hypothesis i) of a continuum between ambiguity and vagueness, and ii) of a continuum between arguments and adjuncts. We provide a complete approach to lexical knowledge acquisition of verbal constructions from an untagged news corpus. The approach is evaluated through the analysis of a sample of the 7,000 Japanese verbs automatically described by the system. This paper aims at showing that lexical descriptions based on multifactorial and continuous models can be used both by linguists and lexicographers, and provide a cognitively interesting model for lexical semantics. Our results are available online at: http://marchal.er-tim.fr/ikf/. 1 Background and Motivations " You shall know a word by the company it keeps " [Firth, 1957]. This too well known citation from J.R. Firth motivates any lexicographic work today: it is widely accepted that word description cannot be achieved without the analysis of a large number of contexts extracted from real corpora. But this is not enough. The recent success of deep learning approaches have shown that static representations of the lexicon are no longer appropriate. Continuous models offer a better representation of word meaning, because they encode intuitively valid and cognitively plausible principles: semantic similarity is relative, context-sensitive and depends on multiple-cue integration. However, these models have not been used for representing meaning in dictionaries written for humans. One may think that these models are complex and convenient for machines, but that they are too abstract for humans. In this paper we defend the opposite idea. If continuous models offer a better representation of the lexicon, we must conceive new lexical databases that are usable by humans and have the same basis as these continuous models. There are arguments to support this view. For example, it has been demonstrated that semantic categories have fuzzy boundaries and thus the number of word meanings per lexical item is to a large extent arbitrary [Tuggy, 1993]. Although this still fuels lots of discussions among linguists and lexicographers, we claim that a description can be more or less fine-grained while keeping the same accuracy and validity. Moreover, it has been demonstrated that lexical entries in traditional dictionaries overlap and different word meanings can be associated with a same example [Erk and McCarthy, 2009], showing that meaning cannot be sliced in separate and exclusive word senses. The same problem also arises when it comes to differentiate arguments and adjuncts. As said in [Manning, 2003]: 'There are some very clear arguments (normally, subjects and objects), and some very clear adjuncts (of Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; [SHS.INFO]Humanities and Social Sciences/Library and information sciences; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [SHS.STAT]Humanities and Social Sciences/Methods and statistics; Japanese; Lexical acquisition URL: https://hal.archives-ouvertes.fr/hal-01420714 https://hal.archives-ouvertes.fr/hal-01420714/document https://hal.archives-ouvertes.fr/hal-01420714/file/ijcai_cognitum.pdf BASE Hide details 96 Introduction: Cognitive Issues in Natural Language Processing ... Poibeau, Thierry; Vasishth, Shravan. - : arXiv, 2016 BASE Show details 97 Traduire sans comprendre ? La place de la sémantique en traduction automatique Poibeau, Thierry In: Langages, N 201, 1, 2016-04-05, pp.77-90 (2016) BASE Show details 98 Combining Open Source Annotators for Entity Linking through Weighted Voting Ruiz, Pablo; Poibeau, Thierry In: Joint Conference on Lexical and Computational Semantics (*SEM 2015) ; https://hal.archives-ouvertes.fr/hal-01173967 ; Joint Conference on Lexical and Computational Semantics (*SEM 2015), Association for Computational Linguistics, Jun 2015, Denver, United States. pp.211-215 (2015) BASE Show details 99 Pour une sémantique de l'usage : Le cas de l'instrumental sujet en français Poibeau, Thierry In: ISSN: 0037-9069 ; EISSN: 1783-1385 ; Bulletin de la Société de Linguistique de Paris ; https://hal.archives-ouvertes.fr/hal-02977458 ; Bulletin de la Société de Linguistique de Paris, Peeters Publishers, 2015, 110 (1), pp.339-358. ⟨10.2143/BSL.110.1.3132113⟩ (2015) BASE Show details 100 EL92: Entity Linking Combining Open Source Annotators via Weighted Voting Ruiz, Pablo; Poibeau, Thierry In: 9th International Workshop on Semantic Evaluation (SemEval 2015) ; https://hal.archives-ouvertes.fr/hal-01173968 ; 9th International Workshop on Semantic Evaluation (SemEval 2015), Association for Computational Linguistics, Jun 2015, Denver, United States. pp.355-359 (2015) BASE Show details Page: 1 2 3 4 5 6 7 8 9...11

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