... Discrimination with Parallel Corpora. In Workshop onWordSense Disambiguation: Recent Successes and Future Directions, pages 54-60. Cong Li and Hang Li. 2002. Word Translation Dis-ambiguation Using ... simulta-neously, only one of which has an available sense inventory. The results showed that word- level translation correspondences are a valuable source of information for sense disambiguation. The ... to EP -based WSD methods. This section focuses on the application of the EP concept to WSD, and chooses Bayesian method for the classifier construction. 4.1 A Sense Classifier Basedon the...
... Sem-Cor). 7 Conclusion and discussion 7.1 Local context and topic context On the analysis of standard deviation of preci-sion on different stage in Figure 1 and 2 we can conclude that the ... the complexity of contextual happenings of words. Since the word association norm captures both syntagmatic and pragmatic relations in words, we transform the context words of the target ... summarization and cohesion analysis. In contrast with previous methods we only record the lexical hub of each sense of the target, and we don’t keep track of other context words. In other words,...
... Computational Linguistics, pages 125–129,Jeju, Republic of Korea, 8-14 July 2012.c2012 Association for Computational LinguisticsCross-lingual Parse Disambiguationbasedon Semantic CorrespondenceLea ... optimize the parameters such as disam-biguation precision vs. amount of disambiguation. As no language-specific assumptions are hardcoded in our disambiguation system, it would bevery interesting ... versa,which allows for disambiguation of phenomenawhich are ambiguous in only one of the languages.We use the above observations for cross-lingualparse disambiguation. We experimented with...
... creation can be run automatically.4 ConclusionWe presented preliminary results for a multilingualclassification -based approach to WordSense Dis-ambiguation. In addition to the commonly usedmonolingual ... Optimization for Machine-Learning of WordSense Disambiguation. NaturalLanguage Engineering, Special Issue onWord Sense Disambiguation Systems, 8:311–325.N. Ide, T. Erjavec, and D. Tufis¸. 2002. Sense ... classification- based approach to WordSense Disambigua-tion. Instead of using a predefined monolin-gual sense- inventory such as WordNet, we usea language-independent framework where the word senses...
... Interactive Poster and Demonstration Sessions,pages 53–56, Ann Arbor, June 2005.c2005 Association for Computational LinguisticsSenseLearner: WordSense Disambiguation for All Words in Unrestricted ... sensedisambiguation consists ofassigning the most appropriate meaning to a polyse-mous word within a given context. Applications suchas machine translation, knowledge acquisition, com-mon sense ... Precision and recall for the SENSELEARNERsemantic models, measured on the SENSEVAL-2 andSENSEVAL-3 English all words data. Results for com-binations of contextual (model*1/2) and collocational(model*Coll)...
... issue on SEN-SEVAL.Hoa Trang Dang and Martha Palmer. Combiningcontextual features for wordsense disambigua-tion. In Proceedings of the SIGLEX/SENSEVALWorkshop onWordSense Disambiguation: ... Spe-cial issue on SENSEVAL.Adam Kilgarriff. English lexical sample task de-scription. In Proceedings of Senseval-2, Sec-ond International Workshop on Evaluating Word SenseDisambiguation Systems, ... Wicentowski. TheJohns Hopkins SENSEVAL2 system descrip-tions. In Proceedings of Senseval-2, Sec-ond International Workshop on Evaluating Word SenseDisambiguation Systems, pages 163–166,Toulouse,...
... identifying the correct meaning, or sense of a word in context, is known as word sense disambiguation (WSD). Among the various ap-proaches to WSD, corpus -based supervised ma-chine learning ... @comp.nus.edu.sgAbstractInstances of a word drawn from differentdomains may have different sense priors(the proportions of the different senses ofa word) . This in turn affects the accuracyof wordsensedisambiguation (WSD) ... and Hwee Tou Ng. 2005b. Word sensedisambiguation with distribution estimation.In Proc. of IJCAI05.Pedro Domingos and Michael Pazzani. 1996. Beyondindependence: Conditions for the optimality...
... IntroductionMany words have multiple meanings, depending on the context in which they are used. Wordsense dis-ambiguation (WSD) is the task of determining thecorrect meaning or sense of a word in context. ... hierarchical phrase -based model for statistical machine translation, based on weighted synchronous context- free grammar (CFG)(Lewis and Stearns, 1968). A synchronous CFGconsists of rewrite rules ... thatthe most number of words any candidate translationhas is two words. Since among all the 2 -word candi-date translations, the translation “every month” hasthe highest translation probability as...
... Johnson. 2004. Mul-ti-component WordSense Disambiguation. Proceed-ings of Senseval-3: 3rd International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, Barcelona, ... machine translation system. References Eneko Agirre and German Rigau. 1996. WordSense Disambiguation using Conceptual Density. Proceed-ings of the 15th Conference on Computational Lin-guistics ... translation, WSD, or translation disambiguation, is responsible for identifying the correct translation for an ambiguous source word. There is not always a direct relation between the possible senses...
... IntroductionIn natural language, a word often assumes differentmeanings, and the task of determining the correctmeaning, or sense, of a word in different contextsis known as wordsensedisambiguation ... super-vised wordsensedisambiguation systems. In Proc. ofEMNLP/VLC00.A. Fujii, K. Inui, T. Tokunaga, and H. Tanaka. 1998.Selective sampling for example -based wordsense dis-ambiguation. Computational ... Association of Computational Linguistics, pages 49–56,Prague, Czech Republic, June 2007.c2007 Association for Computational LinguisticsDomain Adaptation with Active Learning for WordSense Disambiguation Yee...
... Relatedness Measure Context Target Sense PreprocessingFormat Filter Sense Inventory Context SelectionPostprocessingPick Sense Figure 1: A generalized framework for WordSense Disambiguation. modules ... stop–words.However, not all words in the surrounding context are indicative of the correct sense of the target word. An intelligent selection of the context words used inthe disambiguation process ... sur-rounding context should consist of. In the currentimplementation, the context selection module usesan n word window around the target word as con-text. The window includes the target word, and...
... Supervised Sense Tagging using Support VectorMachines. Proceedings of the Second InternationalWorkshop on Evaluating WordSense Disambiguation Systems (SENSEVAL-2). Toulouse, France.Scott Cotton, ... Phil Edmonds, Adam Kilgarriff, andMartha Palmer, ed. 2001. SENSEVAL-2: SecondInternational Workshop on Evaluating Word Sense Disambiguation Systems. ACL SIGLEX, Toulouse,France.Mona Diab. ... that SDC is a very good direct indicator of PR.5.7 SenseContext ConfusabilityA situation of sensecontext confusability (SCC)arises when two senses of a noun are very similarand are highly...