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Hits 1 – 18 of 18

1	eXSTS: eXplainable Semantic Textual Similarity
	Cui, Jiarong. - 2021
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2	Improving Sentence Representations via Component Focusing
	Xiaoya Yin; Wu Zhang; Wenhao Zhu...
	In: Applied Sciences ; Volume 10 ; Issue 3 (2020)
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3	Evaluating semantic textual similarity in clinical sentences using deep learning and sentence embeddings
	Antunes, Rui; Silva, João Figueira; Matos, Sérgio. - : Association for Computing Machinery, 2020
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4	ASAPP 2.0: Advancing the state-of-the-art of semantic textual similarity for Portuguese
	Alves, Ana; Rodrigues, Ricardo. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2018. : OASIcs - OpenAccess Series in Informatics. 7th Symposium on Languages, Applications and Technologies (SLATE 2018), 2018
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5	Towards A Gold Standard Corpus For Variable Detection And Linking In Social Science Publications ...
	Zielinski, Andrea; Mutschke, Peter. - : Zenodo, 2018
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6	Towards A Gold Standard Corpus For Variable Detection And Linking In Social Science Publications ...
	Zielinski, Andrea; Mutschke, Peter. - : Zenodo, 2018
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7	Towards a Gold Standard Corpus for Variable Detection and Linking in Social Science Publications
	Zielinski, Andrea; Mutschke, Peter
	In: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC) ; International Conference on Language Resources and Evaluation (LREC) ; 11 (2018)
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8	A resource-light method for cross-lingual semantic textual similarity
	Glavas, Goran; Rosso, Paolo; Franco-Salvador, Marc. - : Elsevier, 2018
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9	STATISTICAL RELATIONAL LEARNING AND SCRIPT INDUCTION FOR TEXTUAL INFERENCE
	Mooney,Raymond. - 2017
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10	LIPN: Introducing a new Geographical Context Similarity Measure and a Statistical Similarity Measure based on the Bhattacharyya coefficient
	Buscaldi, Davide; García Flores, Jorge J.; Le Roux, Joseph...
	In: SemEval 2014 ; https://hal.archives-ouvertes.fr/hal-01068277 ; SemEval 2014, Aug 2014, Dublin, Ireland. pp.400-405 (2014)
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11	Methods for Measuring Semantic Similarity of Texts
	Gaona, Miguel Angel Rios. - 2014
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12	Detección de plagio translingüe utilizando una red semántica multilingüe
	Franco Salvador, Marc. - : Universitat Politècnica de València, 2014
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13	Análisis de similitud basado en grafos: una nueva aproximación a la detección de plagio translingüe ; Graph-based similarity analysis: a new approach to cross-language plagiarism detection
	Franco Salvador, Marc; Gupta, Parth; Rosso, Paolo. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2013
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14	Análisis de similitud basado en grafos: Una nueva aproximación a la detección de plagio translingüe ; Graph-Based Similarity Analysis: A New Approach to Cross-Language Plagiarism Detection
	Franco-Salvador, Marc; Gupta, Parth; Rosso, Paolo. - : Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2013
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15	DLSITE-2: semantic similarity based on syntactic dependency trees applied to textual entailment
	Micol Ponce, Daniel; Ferrández Escámez, Óscar; Muñoz, Rafael. - : Association for Computational Linguistics, 2007
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16	Un sistema basado en conocimiento para el reconocimiento de implicación textual
	Ferrández Escámez, Óscar; Muñoz Terol, Rafael; Muñoz, Rafael. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2006
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17	A Lexical–Semantic Approach to AVE
	Manuel Palomar
	In: http://clef.isti.cnr.it/2008/working_notes/ferrandez-paperCLEF2008.pdf
	Abstract: This paper discusses a system capable of detecting when answers for specific ques-tions are supported by snippets, all provided by Question Answering (QA) systems. This task is known as the Answer Validation Exercise (AVE) track within the Cross– language Evaluation Forum (CLEF). The system uses a set of regular expressions in order to join the question and the answer into an affirmative sentence and afterwards applies several lexical–semantic inferences to attempt to detect whether the meaning of this sentence can be inferred by the meaning of the supporting text. Throughout the paper we present and discuss the different system components together with the results obtained. Moreover, we want to apply special emphasis to the language–independent capabilities of some of them. As a result, we are able to apply our techniques over both Spanish and English corpora.
	Keyword: Answer Validation; Categories and Subject Descriptors H.3 [Information Storage and Retrieval; Experimentation; H.3.3 Information Search and Retrieval General Terms Algorithms; Measurement; Performance Keywords Question Answering; Recognizing Textual Entailment; Semantic Similarity
	URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.571.7888 http://clef.isti.cnr.it/2008/working_notes/ferrandez-paperCLEF2008.pdf
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18	The contribution of the University of Alicante to AVE 2007
	Óscar Ferrández; Daniel Micol; Rafael Muñoz...
	In: http://www.clef-campaign.org/2007/working_notes/ferrandezclef2007.pdf
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