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Excuse me vs. (I’m) sorry as two contrasting markers of interlocutive relations
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In: Corela, Vol 17, Iss 2 (2019) (2019)
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A Dependency Perspective on RST Discourse Parsing and Evaluation
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In: Computational Linguistics, Vol 44, Iss 2, Pp 197-235 (2018) (2018)
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Unsupervised extraction of semantic relations using discourse information ; Extraction non supervisée de relations sémantiques par l'analyse du discours
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In: https://tel.archives-ouvertes.fr/tel-01373965 ; Artificial Intelligence [cs.AI]. Université Paul Sabatier - Toulouse III, 2015. English. ⟨NNT : 2015TOU30202⟩ (2015)
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Variation sur une coupure : « short of » et « shy of », entre division et discernement
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In: Corela, Vol 13, Iss 1 (2015) (2015)
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MELODI: Semantic similarity of words and compositional phrases using latent vector weighting
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In: https://www.cs.york.ac.uk/semeval-2013/accepted/83_Paper.pdf (2013)
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Cet obscur objet de désir : à propos de la construction want GN et de ses gloses
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In: Corela, Vol 11, Iss 2 (2013) (2013)
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Constrained decoding for text-level discourse parsing
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In: http://hal.inria.fr/docs/00/75/06/11/PDF/coling2012.pdf (2012)
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Constrained decoding for text-level discourse parsing
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In: http://aclweb.org/anthology/C/C12/C12-1115.pdf (2012)
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Abstract:
This paper presents a novel approach to document-based discourse analysis by performing a global A * search over the space of possible structures while optimizing a global criterion over the set of potential coherence relations. Existing approaches to discourse analysis have so far relied on greedy search strategies or restricted themselves to sentence-level discourse parsing. Another advantage of our approach, over other global alternatives (like Maximum Spanning Tree decoding algorithms), is its flexibility in being able to integrate constraints (including linguistically motivated ones like the Right Frontier Constraint). Finally, our paper provides the first discourse parsing system for French; our evaluation is carried out on the Annodis corpus. While using a lot less training data than earlier approaches than previous work on English, our system manages to achieve state-of-the-art results, with F1-scores of 66.2 and 46.8 when compared to unlabeled and labeled reference structures.
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Keyword:
A; Constrained Decoding; Dependency Structures; Discourse Parsing; Discourse Structure
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.379.1192 http://aclweb.org/anthology/C/C12/C12-1115.pdf
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Confondre le coupable : corrections à un lexique suggérées par une grammaire
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In: Actes de la 14e conférence sur le Traitement Automatique des Langues Naturelles ; TALN 2007 ; https://hal.archives-ouvertes.fr/hal-00384334 ; TALN 2007, Jun 2007, Toulouse, France. pp.315-324 (2007)
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Ambiguïté de portée et approche fonctionnelle des TAG
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In: Actes de la 14ème conférence sur le Traitement Automatique des Langues Naturelles (TALN 2007) ; https://hal.inria.fr/inria-00141913 ; Actes de la 14ème conférence sur le Traitement Automatique des Langues Naturelles (TALN 2007), Jun 2007, Toulouse, France. pp.325--334 (2007)
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