Báo cáo khoa học: " Word Sense Disambiguation in Untagged Text based on Term Weight Learning" ppt
Báo cáo khoa học: " Word Sense Disambiguation in Untagged Text based on Term Weight Learning" ppt
... Proceedings of EACL '99 Word Sense Disambiguation in Untagged Text based on Term Weight Learning Fumiyo Fukumoto and Yoshimi Suzukit Department of Computer Science and Media Engineering, ... that it solely relies on human intuition for identifying different senses of a word, i.e. the hu- man editor has to determine, by her/his intuition, how many senses a word has, and then identify ... disam- biguating verbal word senses using term weight learning based on similarity -based estimation. The results showed that when polysemous verbs have two, three and four senses, the average...
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Báo cáo khoa học: "Word Sense Disambiguation Using Label Propagation Based Semi-Supervised Learning" docx
... and LP on word “use”.(a) only one labeled example for each sense of word “use”as training data before sense disambiguation (◦ and ⊲ denotethe unlabeled examples in SENSEVAL-3 training set ... any point in {B0∼ B8}, regardless of theintrinsic structure in data: A9∼ A10and B9∼ B10are closer to points in lower moon than to points in upper moon. In other words, bootstrapping ... two-moon pattern shown in Figure 1(a). Theupper moon consists of 9 points, while the lowermoon consists of 13 points. There is only one la-beled point in each moon, and other 20 points are un-−2...
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Báo cáo khoa học: "Word Sense Disambiguation using lexical cohesion in the context" ppt
... lexical cohe-sion based on edge-counting techniques is a good way of unsupervisedly disam-biguating senses. 1 Introduction Word Sense Disambiguation (WSD) is generally taken as an intermediate ... 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 into its ... relationships found in word associa-tion thesaurus, such as syntagmatic, paradigmatic relations, domain information etc. In this paper we only use the straightforward forms of context words...
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Báo cáo khoa học: "Word Sense Disambiguation Improves Statistical Machine Translation" docx
... unigrams (single words) in the surrounding context of w. These unigrams canbe in a different sentence from w. We perform fea-ture selection on surrounding words by including aunigram only if ... and there is a one-to-one corre-spondence between the non-terminals in γ and α in- dicated by co-indexation. Hence, γ and α alwayshave the same number of non-terminal symbols. Forinstance, we ... 1968). A synchronous CFGconsists of rewrite rules such as the following:X → γ, α (1)34where X is a non-terminal symbol, γ (α) is a stringof terminal and non-terminal symbols in the source(target)...
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Báo cáo khoa học: "Word Sense Disambiguation Using Pairwise Alignment" potx
... obtained the experimentalresults on 7 verbs in SENSEVAL-13. In our exper-iment, for all sentences including target word in thetraining and test corpus of SENSEVAL-1, we makea parsing using ... obtained from an inputsentence as the context of a target word. The general intuition for WSD is that wordswith similar context have the same sense (Charniak,1993; Lin, 1997). That is, once ... espe-cially in machine translation, information retrieval,and so on (Ide and V´eronis, 1998). Most of previ-ous supervised methods can be classified into twomajor ones; approach based on association,...
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Báo cáo khoa học: "WORD-SENSE DISAMBIGUATION METHODS USING STATISTICAL" pot
... a sense- disambiguation component that assigns sense labels to French words. If pren- dre is labeled with one sense in the context of ddcision but with a different sense in other contexts, ... assign- ing senses to words. An instance of a word is as- signed a sense by asking a question about the con- text in which the word appears. The question is constructed to have high mutual information ... examples like these, we in- vestigated a simple method of assigning two senses to a word w by asking a single binary question about one word of the context in which w appears. One does not know...
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Báo cáo khoa học: "Word Sense Disambiguation using Optimised Combinations of Knowledge Sources" ppt
... performs word sense disambiguation on all content words in free text by combining different knowledge sources: semantic preferences, dictionary definitions and sub- ject/domain codes along with ... definition in a dictionary. The optim- isation was over a simple count of words in common in definitions, however, this meant that longer defin- itions were preferred over short ones, since ... each word contribut- ing one we normalise its contribution by the number of words in the definition it came from. The Cowie et. al. implementation returned one sense for each ambiguous word in...
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Báo cáo khoa học: "Word Sense Disambiguation Improves Information Retrieval" ppt
... terms.2http://lemurproject.org/indri/2754 Word Sense Disambiguation In this section, we first describe the construction ofour WSD system. Then, we propose the method ofassigning senses to query terms.4.1 Word sense disambiguation ... the inte-gration of sense synonym relations into our model.5.1 Incorporating senses as smoothingWith the method described in Section 4.2, both theterms in queries and documents have been sense tagged. ... impact of erroneous disam-biguation, and the integration of senses into tradi-tional term index, such as stem -based index, is a pos-sible solution. The utilization of semantic relationshas proved...
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Báo cáo khoa học: "Word-Sense Disambiguation Using Decomposable Models and Janyce Wiebe" pdf
... Comparison to Previous Work Many researchers have avoided characterizing the inter- actions among multiple contextual features by consider- ing only one feature in determining the sense of ... distribution of sense tags in the data set is presented in Table 1. We now turn to the selection of individually infor- mative contextual features. In our approach to disam- biguation, a contextual ... the meaning of the ambiguous word. In order to use the features in concert to perform disambiguation, a model describing the interactions among them is needed. Since we had no reason to prefer,...
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Tài liệu Báo cáo khoa học: " Word Translation Disambiguation Using Bilingual Bootstrapping" doc
... existing methods based on ‘Monolingual Bootstrapping’. 1 Introduction We address here the problem of word translation disambiguation. For instance, we are concerned with an ambiguous word in ... Bilingual Bootstrapping 3.1 Overview Instead of using Monolingual Bootstrapping, we propose a new method for word translation disambiguation using Bilingual Bootstrapping. In translation ... representing context information for translation disambiguation. For an English word ε, we define a binary classifier for resolving each of its translation ambiguities in εT in a general...
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