Word Sense Disambiguation Wikipedia
Result for: Word Sense Disambiguation Wikipedia
Jan 1, 2013 This paper describes explorations in word sense disambiguation using Wikipedia as a source of sense annotations. Through experiments on four different languages, we show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate...
The Lesk algorithm is a classical algorithm for word sense disambiguation introduced by Michael E. Lesk in 1986. [1] . It operates on the premise that words within a given context are likely to share a common meaning.
Apr 12, 2013 In this article, we present a two-stage framework (called TSDW) for word sense disambiguation using knowledge latent in Wikipedia. The disambiguation of a given phrase is applied through a two-stage disambiguation process: (a) The first-stage disambiguation explores the contextual semantic information, where the noisy information is pruned for ...
Synonyms. Learning word senses; Solving semantic ambiguity. Definition. Ambiguity is inherent to human language. In particular, word sense ambiguity is prevalent in all natural languages, with a large number of the words in any given language carrying more than one meaning.
We present three approaches to word sense disambiguation that use Wikipedia as a source of sense annotations.
Through word sense disambiguation experiments, we show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers. Introduction. Ambiguity is inherent to human language.
In this paper we propose a general framework for word sense disambiguation using knowledge latent in Wikipedia. Specifically, we exploit the rich and growing Wikipedia corpus in order to achieve a large and robust knowledge repository consisting of keyphrases and their associated candidate topics.
In this paper, we present a observation that a word with some special sense should appear in specific category of articles, and this appearance will take the word to its Wiki sense [1] by Wikipedia link graph. This property can help to solve word sense disambiguation problem using Wikipedia.
Feb 21, 2013 Word Sense Disambiguation Using Wikipedia. Authors: Bharath Dandala. IBM. Rada Mihalcea. University of Michigan. Razvan Bunescu. Abstract. This paper describes explorations in word sense...
Apr 12, 2013 TSDW: Two-stage word sense disambiguation using Wikipedia. Chenliang Li, .
[email protected]. School of Computer Engineering, Block N4, Nanyang Technological University, Nanyang Avenue, Singapore, 639798. Search for more papers by this author. Aixin Sun, .
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Jan 1, 2007 Using Wikipedia for Automatic Word Sense Disambiguation. Authors: Rada Mihalcea. University of Michigan. Abstract. This paper describes a method for generat- ing sense-tagged data using...
Abstract. This paper describes a method for generat-ing sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, we show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.
Word-sense disambiguation. Author name disambiguation. Automatic acquisition of sense-tagged corpora. BulSemCor. CLAWS (linguistics) Lesk algorithm. Lexical substitution. Part-of-speech tagging. Winograd schema challenge. Word sense. Word-sense induction. Yarowsky algorithm.
This document describes the improvements of the Wikipedia Miner word sense disambiguation algorithm. The original algorithm performs very well in detecting key terms in documents and disambiguating them against Wikipedia articles.
Jan 1, 2018 open access. Abstract. Building of sense-tagged data is a main challenge for supervised techniques that achieved promising results in word sense disambiguation. The manual building of sense-tagged data is a labor and a time-consuming task because each ambiguous word has to be labeled in collected contexts by linguistic experts.
This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, the authors show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.
Using Wikipedia for Automatic Word Sense Disambiguation. In Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference, pages 196203, Rochester, New York. Association for Computational Linguistics. Cite (Informal):
May 21, 2019 WORD SENSE DISAMBIGUATION: A REVIEW. Authors: Qasem Al-Tashi. University of Texas MD Anderson Cancer Center. In the process of natural language, a lot of words have different connotations. The...
Apr 26, 2020 Word sense disambiguation is the procedure that allows us to identify the meaning of a word with more than one meaning polysemic in a sentence. Making a term unambiguous is an operation...
SemEval ( Sem antic Eval uation) is an ongoing series of evaluations of computational semantic analysis systems; it evolved from the Senseval word sense evaluation series. The evaluations are intended to explore the nature of meaning in language.
Oct 4, 2016 The technique that is used to find the appropriate sense of a word with an ambiguous meaning considering its context is called Word Sense Disambiguation (WSD). (Ide and Vronis 1998; Navigli 2009 ). It is ubiquitous across all languages but it has greater challenges in Semitic languages like Arabic.
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