chinese word sense disambiguation based on context expansion

... Discrimination with Parallel Corpora. In Workshop on Word Sense 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 Based on the...

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... 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,...

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... Computational Linguistics, pages 125–129, Jeju, Republic of Korea, 8-14 July 2012. c 2012 Association for Computational Linguistics Cross-lingual Parse Disambiguation based on Semantic Correspondence Lea ... optimize the parameters such as disam- biguation precision vs. amount of disambiguation. As no language-specific assumptions are hard coded in our disambiguation system, it would be very interesting ... versa, which allows for disambiguation of phenomena which are ambiguous in only one of the languages. We use the above observations for cross-lingual parse disambiguation. We experimented with...

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... creation can be run automatically. 4 Conclusion We presented preliminary results for a multilingual classification -based approach to Word Sense Dis- ambiguation. In addition to the commonly used monolingual ... Optimization for Machine- Learning of Word Sense Disambiguation. Natural Language Engineering, Special Issue on Word Sense Disambiguation Systems, 8:311–325. N. Ide, T. Erjavec, and D. Tufis¸. 2002. Sense ... classification- based approach to Word Sense Disambigua- tion. Instead of using a predefined monolin- gual sense- inventory such as WordNet, we use a language-independent framework where the word senses...

Ngày tải lên: 20/02/2014, 05:20

... Interactive Poster and Demonstration Sessions, pages 53–56, Ann Arbor, June 2005. c 2005 Association for Computational Linguistics SenseLearner: Word Sense Disambiguation for All Words in Unrestricted ... sense disambiguation consists of assigning the most appropriate meaning to a polyse- mous word within a given context. Applications such as machine translation, knowledge acquisition, com- mon sense ... Precision and recall for the SENSELEARNER semantic models, measured on the SENSEVAL-2 and SENSEVAL-3 English all words data. Results for com- binations of contextual (model*1/2) and collocational (model*Coll)...

Ngày tải lên: 20/02/2014, 15:20

... issue on SEN- SEVAL. Hoa Trang Dang and Martha Palmer. Combining contextual features for word sense disambigua- tion. In Proceedings of the SIGLEX/SENSEVAL Workshop on Word Sense 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 Sense Disambiguation Systems, ... Wicentowski. The Johns Hopkins SENSEVAL2 system descrip- tions. In Proceedings of Senseval-2, Sec- ond International Workshop on Evaluating Word Sense Disambiguation Systems, pages 163–166, Toulouse,...

Ngày tải lên: 20/02/2014, 16:20

... 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.sg Abstract Instances of a word drawn from different domains may have different sense priors (the proportions of the different senses of a word) . This in turn affects the accuracy of word sense disambiguation (WSD) ... and Hwee Tou Ng. 2005b. Word sense disambiguation with distribution estimation. In Proc. of IJCAI05. Pedro Domingos and Michael Pazzani. 1996. Beyond independence: Conditions for the optimality...

Ngày tải lên: 08/03/2014, 02:21

... Introduction Many words have multiple meanings, depending on the context in which they are used. Word sense dis- ambiguation (WSD) is the task of determining the correct 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 CFG consists of rewrite rules ... that the most number of words any candidate translation has is two words. Since among all the 2 -word candi- date translations, the translation “every month” has the highest translation probability as...

Ngày tải lên: 08/03/2014, 02:21

... Johnson. 2004. Mul- ti-component Word Sense 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. Word Sense 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...

Ngày tải lên: 08/03/2014, 02:21

... Introduction In natural language, a word often assumes different meanings, and the task of determining the correct meaning, or sense, of a word in different contexts is known as word sense disambiguation ... super- vised word sense disambiguation systems. In Proc. of EMNLP/VLC00. A. Fujii, K. Inui, T. Tokunaga, and H. Tanaka. 1998. Selective sampling for example -based word sense dis- ambiguation. Computational ... Association of Computational Linguistics, pages 49–56, Prague, Czech Republic, June 2007. c 2007 Association for Computational Linguistics Domain Adaptation with Active Learning for Word Sense Disambiguation Yee...

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... Relatedness Measure Context Target Sense Preprocessing Format Filter Sense Inventory Context Selection Postprocessing Pick Sense Figure 1: A generalized framework for Word Sense 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 in the disambiguation process ... sur- rounding context should consist of. In the current implementation, the context selection module uses an n word window around the target word as con- text. The window includes the target word, and...

Ngày tải lên: 08/03/2014, 04:22

... Supervised Sense Tagging using Support Vector Machines. Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems (SENSEVAL-2). Toulouse, France. Scott Cotton, ... Phil Edmonds, Adam Kilgarriff, and Martha Palmer, ed. 2001. SENSEVAL-2: Second International 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 Sense Context Confusability A situation of sense context confusability (SCC) arises when two senses of a noun are very similar and are highly...

Ngày tải lên: 08/03/2014, 04:22