A Korean Homonym Disambiguation System Using Refined Semantic Information and Thesaurus
نویسندگان
چکیده
منابع مشابه
A Korean Homonym Disambiguation System Based on Statistical Model Using Weights
A homonym could be disambiguated by another words in the context as nouns, predicates used with the homonym. This paper using semantic information (co-occurrence data) obtained from definitions of part of speech (POS) tagged UMRD-S 1 ). In this research, we have analyzed the result of an experiment on a homonym disambiguation system based on statistical model, to which Bayes' theorem is applied...
متن کاملSense Disambiguation using Semantic Relations and Adjacency Information
This paper describes a heuristic-based approach to word-sense disambiguation. The heuristics that are applied to disambiguate a word depend on its part of speech, and on its relationship to neighboring salient words in the text. Parts of speech are found through a tagger, and related neighboring words are identified by a phrase extractor operating on the tagged text. To suggest possible senses,...
متن کاملTerm Sense Disambiguation Using a Domain-Specifc Thesaurus
Term extraction is important for many information systems applications. Although terms should be monoreferential, in reality they exhibit a high degree of ambiguity. Whilst conventional solutions mainly involve statistical approaches, this paper proposes a more hybrid technique. The approach is based on the identification of relevant contextual information from sublanguage texts, enabling the i...
متن کاملSemantic Disambiguation of Thesaurus as a Mechanism to Facilitate Multilingual and Thematic Interoperability of Geographical Information Catalogues
Nowadays, there is a growing interest within the geographic information system community to find the location of geographic data through the Internet and to know the features and the possibilities of these data. In order to make this information easily accessible both to trained users and to the general public it is necessary to implement a specific infrastructure of geographical information pr...
متن کاملLatent Semantic Word Sense Disambiguation Using Global Co-occurrence Information
In this paper, I propose a novel word sense disambiguation method based on the global co-occurrence information using NMF. When I calculate the dependency relation matrix, the existing method tends to produce very sparse co-occurrence matrix from a small training set. Therefore, the NMF algorithm sometimes does not converge to desired solutions. To obtain a large number of co-occurrence relatio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The KIPS Transactions:PartB
سال: 2005
ISSN: 1598-284X
DOI: 10.3745/kipstb.2005.12b.7.829