Biblio

Mille S, Wanner L.  2010.  Syntactic Dependencies for Multilingual and Multilevel Corpus Annotation. LREC.

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Saggion H, Lapalme Guy.  2000.  Summary Generation and Evaluation in SumUM. Advances in Artificial Intelligence. International Joint Conference: 7th Ibero-American Conference on Artificial Intelligence and 15th Brazilian Symposium on Artificial Intelligence. IBERAMIA-SBIA 2000.. 1952:329-38.

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Torres Moreno JM, Saggion H, da Cunha I, Velazquez-Morales P, SanJuan, Molina A.  2010.  Summary Evaluation With and Without References. Polibits. In Press

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Saggion H.  2008.  SUMMA: A Robust and Adaptable Summarization Tool. Traitement Automatique des Langues. 49:103-125.

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Brunetti L, Bott S.  2011.  Subject inversion in Spanish: a corpus-based study. The 4th Conference on Quantitative Investigations in Theoretical Linguistics.

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Bohnet B, Mille S, Favre B, Wanner L.  2011.  StuMaBa: From Deep representation to Surface. ENLG’11, Surface-Generation Shared Task. Nancy, France..

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Saggion H.  2012.  A Study of the Effect of Document Representations in Clustering-based Cross-document Coreference Resolution. Multi-source, Multilingual Information Extraction and Summarization.

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Farrús M, Costa-jussà MR, Popovic M.  In Press.  Study and correlation analysis of linguistic, perceptual and automatic machine translation evaluations. Journal of the American Society for Information Science and Technology 2012.

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Farrús M, Costa-jussà MR, Popovic M.  2012.  Study and correlation analysis of linguistic, perceptual and automatic machine translation evaluations. Journal of the American Society for Information Science and Technology (JASIST). 63(1):174--184.

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Costa-jussà MR, Farrús M, Mariño Acebal JB, Fonollosa JA.  2011.  Study and comparison of rule-based and statistical catalan-spanish machine translation systems. Computing and Informatics.

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Costa-jussà MR, Farrús M, Mariño JB, Fonollosa JAR.  2012.  Study and comparison of rule-based and statistical Catalan-Spanish machine translation systems. Computing and Informatics. 31(2):245-270.

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Bohnet B, Mille S, Wanner L.  2011.  Statistical Language Generation from Semantic Structures. DepLing 2011, Barcelona, Spain.

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Bott S, Saggion H.  2011.  Spanish Text Simplification: An Exploratory Study. Revista de la Sociedad Española para el Procesamiento del Lenguaje Natural.

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Rello L, Baeza-Yates R.  2012.  Social Media is not that bad! The Lexical Quality of Social Media (poster). ICWSM 2012: The 6th International AAAI Conference on Weblogs and Social Media.

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Rello L, Pielot M, Marcos M-C, Carlini R.  2013.  Size Matters (Spacing not): 18 Points for a Dyslexic-friendly Wikipedia. W4A 2013: The 10th International Cross Disciplinary Conference on Web Accessibility.

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Rello L, Baeza-Yates R, Bott S, Saggion H.  2013.  Simplify or Help? Text Simplification Strategies for People with Dyslexia W4A 2013: The 10th International Cross Disciplinary Conference on Web Accessibility.

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Bouayad-Agha N, Casamayor G, Ferraro G, Wanner L.  2009.  Simplification of Patent Claim Sentences for their Paraphrasing and Summarization. 22nd International Florida Artificial Intelligence Research Society Conference.

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Saggion H.  2007.  SHEF: Semantic Tagging and Summarization Techniques Applied to Cross-document Coreference. Proceedings of SemEval 2007, Assocciation for Computational Linguistics. :292-295. Abstract

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Saggion H.  2002.  Shallow-based Robust Summarization. Automatic Summarization: Solutions and Perspectives.

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Wanner L, Bosch H, Bouayad-Agha N, Bügel U, Casamayor G, Ertl T, Karppinen A, Kompatsiaris I, Koskentalo T, Mille S et al..  2010.  Service-Based Infrastructura for User-Oriented Environmental Information Delivery. Enviroinfo 2010 Workshop on Environmental Information Systems and Services – Infrastructure and Platforms. Bonn, Germany..

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Mitkov R, Ha LA, Varga A, Rello L.  2009.  Semantic similarity of distractors in multiple-choice tests: extrinsic evaluation. Proceedings of the EACL Workshop on Geometrical Models of Natural Language Semantics. :49–56.

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Lluís X, Bott S, Màrquez L.  2009.  A Second-Order Joint Eisner Model for Syntactic and Semantic Dependency Parsing. Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009):.

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