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[PDF] Top 20 One Million Sense Tagged Instances for Word Sense Disambiguation and Induction

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One Million Sense Tagged Instances for Word Sense Disambiguation and Induction

One Million Sense Tagged Instances for Word Sense Disambiguation and Induction

... get word to represent the ...the sense of a tar- get word using positional word ...the word sense and topic ...all instances into one cluster, grouping each ... See full document

7

Error Driven Word Sense Disambiguation

Error Driven Word Sense Disambiguation

... In the following sections we describe i the resources we used Penn Tree Bank, 45 upper level WordNet tags; ii the experiment we ran using rule induction techniques on functional relation[r] ... See full document

5

Word Sense Induction & Disambiguation Using Hierarchical Random Graphs

Word Sense Induction & Disambiguation Using Hierarchical Random Graphs

... including Word Sense Disambiguation (WSD), text summarization, keyword extrac- tion and ...of word sense disambiguation, where we show that our method performs sig- nificantly ... See full document

11

Word Sense Induction for Novel Sense Detection

Word Sense Induction for Novel Sense Detection

... Word sense induction (WSI) is the task of auto- matically inducing the different senses of a given word, generally in the form of an unsupervised learning task with senses represented as ... See full document

11

Latent Semantic Word Sense Induction and Disambiguation

Latent Semantic Word Sense Induction and Disambiguation

... automatic induction of word senses from text, and the subsequent disambiguation of particular word instances using the automati- cally extracted sense ...The induction ... See full document

10

Word Sense Disambiguation by Relative Selection

Word Sense Disambiguation by Relative Selection

... performances. One reason of the low performance is on the relatives irrelevant to the target ...several instances which assign to incorrect senses shows that relatives irrelevant to the target words are ... See full document

13

Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation

Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation

... target word, as in our approach, or (2) context words relevant to the tar- get, as in the UoS system (Hope and Keller, ...The sense induction process using word graphs is explored by (Widdows ... See full document

13

Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation

Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation

... is one such human intelli- gence ...tivity Word Sense Disambiguation (SWSD), a coarse-grained word sense disambiguation ... See full document

9

Surrounding Word Sense Model for Japanese All-words Word Sense Disambiguation

Surrounding Word Sense Model for Japanese All-words Word Sense Disambiguation

... surrounding word sense model (SWSM) that uses the distri- bution of word senses that appear near am- biguous words for unsupervised all-words word sense disambiguation in ...of ... See full document

9

A word sense disambiguation corpus for Urdu

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 ...300 million ... See full document

22

Unsupervised Word Sense Disambiguation Using Bilingual Comparable Corpora

Unsupervised Word Sense Disambiguation Using Bilingual Comparable Corpora

... polysemous word to be disambiguated, words that are syntactically related to the polysemous word, and words that are topically related to the polysemous ...suitable sense of a polysemous ... See full document

7

Some Challenges of Automated Annotation in A Multilingual Scenario

Some Challenges of Automated Annotation in A Multilingual Scenario

... to one and only one sense of a ...of one Indian language to ...gets tagged to a word when it is sense marked as will be shown in the succeeding ...gets tagged with ... See full document

8

Determining the Difficulty of Word Sense Disambiguation

Determining the Difficulty of Word Sense Disambiguation

... the sense distributions that are found in corpora which are often highly ...the instances containing the term association in the NLM- WSD dataset are annotated with the same ...possible sense. ... See full document

9

Word Sense Disambiguation with Multilingual Features

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

A New Approach to Word Sense Disambiguation

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

6

Error Driven Word Sense Disambiguation

Error Driven Word Sense Disambiguation

... Error Driven Word Sense Disambiguation Error D r i v e n W o r d S e n s e D i s a m b i g u a t i o n L u c a D i n i a n d V i t t o r i o D i T o m a s o F r 6 d 6 r i q u e S e g o n d C E L I X e[.] ... See full document

5

Domain Kernels for Word Sense Disambiguation

Domain Kernels for Word Sense Disambiguation

... We will demonstrate that using DMs induced from unlabeled corpora is a feasible strategy to in- crease the generalization capability of the WSD al- gorithm. Our system far outperforms the state-of- the-art systems in all ... See full document

8

Word sense disambiguation and information retrieval

Word sense disambiguation and information retrieval

... of word senses in an on-line dictionary to provide sense ...The disambiguation technique Lesk used is in fact similar to techniques used in ...a word w appearing in a certain context (for ... See full document

11

Word Sense Disambiguation using Static and Dynamic Sense Vectors

Word Sense Disambiguation using Static and Dynamic Sense Vectors

... another sense vectors for each sense using the retrieved context ...the sense vectors produced by the automatic selective sampling method are changed according to test samples and their context, we ... See full document

7

Multi sense Embeddings through a Word Sense Disambiguation Process

Multi sense Embeddings through a Word Sense Disambiguation Process

... NLP community in the last years, especially af- ter the extremely popular word2vec proposed by Mikolov et al., (2013a; 2013b). However, the idea of representing words in an n-dimensional space goes back to the 20th ... See full document

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