[PDF] Top 20 ParaSense or How to Use Parallel Corpora for Word Sense Disambiguation
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ParaSense or How to Use Parallel Corpora for Word Sense Disambiguation
... using parallel corpora for sense discrimination ...that use a combination of existing WordNets with multilin- gual evidence (Tufis¸ et ...to use parallel corpora to ... See full document
6
Using Parallel Texts and Lexicons for Verbal Word Sense Disambiguation
... the use of a parallel treebank and manually created bilingual valency lexicon described herein significantly outperformed the previous results, where only monolingual data and features have been ...through ... See full document
9
Word Sense Disambiguation Corpora Acquisition via Confirmation Code
... can use unsupervised clustering method which determines senses that are very similar and displays only one of the ...will use the corpora annotated by the confirmation code method to train a more ... See full document
5
Word Sense Disambiguation with Multilingual Features
... of word sense ...ambiguous word, but it also encodes the translation knowledge derived from very large parallel corpora, thus accounting for the contextual dependencies between the ... See full document
10
Exploiting Parallel Texts for Word Sense Disambiguation: An Empirical Study
... of word sense disam- biguation (WSD) is the lack of manually sense-tagged data required for supervised ...acquire sense- tagged training data from English-Chinese parallel ... See full document
8
Korean Word-Sense Disambiguation Using Parallel Corpus as Additional Resource
... same word, some of them are showed up in full-Kanji, some are full-Hiragana, and some are mixture form of Kanji and Hira- gana in the corpus ...Japanese word, then we used this information to check whether ... See full document
6
Domain Kernels for Word Sense Disambiguation
... from corpora in a totally unsuper- vised ...the use of Domain Models allows us to reduce the amount of training data, opening an interesting research di- rection for all those NLP tasks for which the Knowl- ... See full document
8
Determining the Difficulty of Word Sense Disambiguation
... three corpora, the average number of senses per ambiguous term (# Senses), the average MFS and the average ...three corpora while the opposite is true for ...dataset use the sense ... See full document
9
Translation-oriented Word Sense Induction Based on Parallel Corpora
... Word Sense Disambiguation (WSD) is an intermediate task that serves as a means to an end defined by the application in which it is to be ...varying disambiguation needs which should have an ... See full document
7
Fine Grained Word Sense Disambiguation Based on Parallel Corpora, Word Alignment, Word Clustering and Aligned Wordnets
... different word aligners ...the word-aligner was further improved so that current performance on the same data is about 1% better on all scores in word alignment and about 2% better in wordnet- ... See full document
7
Enriching Wordnet for Word Sense Disambiguation
... treat word translations as word senses, an approach that is becoming increasingly feasible because of the availability of large multilingual parallel corpora that can serve as training ... See full document
6
Using Parallel Corpora for Word Sense Disambiguation
... each word in each language in the word-aligned parallel corpus is given a separate, unique ...a word from the open list, and gradually spread its ID to all words it is aligned ...processed ... See full document
6
Sense Embeddings in Knowledge Based Word Sense Disambiguation
... (NLP), Word Sense Disambiguation (WSD) aims at assigning the most probable sense of a word in a document, given a pre-defined sense ...of sense usage examples coming from ... See full document
7
Unsupervised Word Sense Disambiguation Using Bilingual Comparable Corpora
... We evaluated our method through an experiment using corpora of English and Japanese newspaper articles. The first language was English and the second lan- guage was Japanese. A Wall Street Journal corpus (July, ... See full document
7
Expectations of Word Sense in Parallel Corpora
... of word sense and parallel corpora, we derived empirical expectations on the shared meaning of tokens of the same type appear- ing in the same ...domain corpora used ...first ... See full document
5
A word sense disambiguation corpus for Urdu
... of Word Sense Disambiguation (WSD) is to correctly i- dentify the meaning of a word in ...exhibit word sense ambiguities and these are often hard to resolve ...WSD corpora ... See full document
22
A comparison of Named Entity Disambiguation and Word Sense Disambiguation
... we use to compile statistics on ambigu- ity and synonymy for WSD and NED in Section ...Frequent Sense baseline, a widely used WSD ...the sense frequency statistics. Section 5 explains how a ... See full document
8
Word sense disambiguation and information retrieval
... Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy ... See full document
11
Word Sense Disambiguation by Relative Selection
... to use the unambiguous relatives in the long distance from a target word, but the way is still problematic because the longer the distance of two senses is, the weaker the relationship between them ... See full document
13
A New Approach to Word Sense Disambiguation
... A New Approach to Word Sense Disambiguation A N e w A p p r o a c h t o W o r d S e n s e D i s a m b i g u a t i o n Rebecca Bruce and Janyce Wiebe The Computing Research Lab New Mexico State Univers[.] ... See full document
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