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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 Hits 21 – 40 of 43 21 An attempt to formalize word sense disambiguation: maximizing efficiency by minimizing computational costs Cantos Gómez, Pascual; Sánchez Pérez, Aquilino; Almela Sánchez, Moisés In: Revista española de lingüística aplicada, ISSN 0213-2028, Vol. 22, 2009, pags. 77-88 (2009) BASE Show details 22 Bases de conocimiento multilíngües para el procesamiento semántico a gran escala ; Multilingual knowledge resources for wide–coverage semantic processing Cuadros Oller, Montserrat; Rigau Claramunt, German. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2008 BASE Show details 23 Extracción de relaciones sintagmáticas de corpus anotados Navarro Colorado, Borja; Moreno Monteagudo, Lorenza; Martínez-Barco, Patricio. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2006 BASE Show details 24 Authors Jordi Atserias (upc In: http://www.lsi.upc.edu/~nlp/meaning/documentation/3rdYear/WP6.17.pdf (2005) BASE Show details 25 Un enfoque integrado para la desambiguación Atserias Batalla, Jordi. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2005 BASE Show details 26 Annotating WordNet Langone, Helen; Haskell, Benjamin R.; Miller, George A. In: DTIC (2004) BASE Show details 27 Mapping WorldNet Senses to a Lexical Database of Verbs Green, Rebecca; Pearl, Lisa; Dorr, Bonnie J. In: DTIC (2001) BASE Show details 28 Word Sense Disambiguation Using Automatically Acquired Verbal Preferences John Carroll; Diana McCarthy In: ftp://ftp.cogs.sussex.ac.uk/pub/users/dianam/senseval.ps (2000) BASE Show details 29 H.: Semantic rule filtering for web-scale relation extraction Andrea Moro; Hong Li; Sebastian Krause... In: http://wwwusers.di.uniroma1.it/~navigli/pubs/ISWC_2013_Moro_etal.pdf BASE Show details 30 Authors German Rigau (upv/ehu; Bernardo Magnini (itc-irst; Eneko Agirre... In: http://www.lsi.upc.edu/~nlp/meaning/documentation/2onYear/D2.2.pdf BASE Show details 31 H.: Semantic rule filtering for web-scale relation extraction Andrea Moro; Hong Li; Sebastian Krause... In: http://wwwusers.di.uniroma1.it/~navigli/pubs/ISWC_2013_Moro_etal.pdf BASE Show details 32 ABSTRACT Long Tail in Weighted Lexical Networks Mathieu Lafourcade; Alain Joubert In: http://www.aclweb.org/anthology/W/W12/W12-5102.pdf BASE Show details 33 Auto-Discovery of NVEF Word-Pairs in Chinese Abstract Jia-lin Tsai; Gladys Hsieh; Wen-lian Hsu In: http://www.aclclp.org.tw/rocling/2003/M09.pdf BASE Show details 34 World Wide Web presents several. Tarek F. Gharib; Nagwa Badr; Shaimaa Haridy... In: http://www.softcomputing.net/jucs2013.pdf BASE Show details 35 The UNED systems at SENSEVAL-2 David Fermindez-amors; Julio Gonzalo; Felisa Verdejo In: http://aclweb.org/anthology-new/S/S01/S01-1018.pdf BASE Show details 36 ABSTRACT Long Tail in Weighted Lexical Networks Mathieu Lafourcade; Alain Joubert In: http://www.lirmm.fr/~lafourcade/ML-biblio/COGALEX3/COGALEX2012-ML-v4.pdf Abstract: Lexical networks can be used with benefit for semantic analysis of texts, word sense disambiguation (WSD) and in general for graph-based Natural Language Processing. Usually strong relations between terms (e.g.: cat--> animal) are sufficient to help for the task, but quite often, weak relations (e.g.: cat--> ball of wool) are necessary. Our purpose here is to acquire such relations by means of online serious games as other classical approaches seems impractical. Indeed, it is difficult to ask the users (non experts) to define a proper weighting for the relations they propose, and then we decided to relate weights with the frequency of their propositions. It allows us to acquire first the strongest relations, but also to populate the long tail of an already existing network. Furthermore, trying to get an estimation of our network by the very users thanks to a tip of the tongue (TOT) software, we realized that they rather tend to favor the relations of the long tail and thus promote their emergence. Developing the long tail of a lexical network with standard and non-standard relations of low weight can be of advantage for tasks such that words retrieval from clues or WSD in texts. Keyword: GAME WITH A PURPOSE; LEXICAL NETWORK; LONG TAIL; TIP OF THE TONGUE SOFTWARE; TYPED RELATIONS; WEIGHTED RELATIONS; WSD URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.296.9760 http://www.lirmm.fr/~lafourcade/ML-biblio/COGALEX3/COGALEX2012-ML-v4.pdf BASE Hide details 37 USYD: WSD and Lexical Substitution using the Web1T Corpus Abstract This paper describes the University of Sydney’s WSD and Lexical Substitution systems In: http://www.denizyuret.com/ref/hawker/98.pdf BASE Show details 38 Development of an Approach for Disambiguating Ambiguous Hindi postposition Avneet Kaur In: http://www.ijcaonline.org/volume5/number9/pxc3871317.pdf BASE Show details 39 PARALLEL CORPORA, ALIGNMENT TECHNOLOGIES AND FURTHER PROSPECTS IN MULTILINGUAL RESOURCES AND TECHNOLOGY INFRASTRUCTURE Dan Tufiş; Radu Ion In: http://www.racai.ro/~tufis/papers/Tufis-Ion-SPED2007.pdf BASE Show details 40 Addressing Challenges in Multilingual Machine Translation Prof Rekha Sug; Sayali Charhate; Anurag Dani... In: http://www.ijser.org/researchpaper/Addressing_Challenges_in_Multilingual_Machine_Translation.pdf BASE Show details Page: 1 2 3

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