[PDF] Top 20 Selective Sampling for Example based Word Sense Disambiguation
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Selective Sampling for Example based Word Sense Disambiguation
... To resolve this problem, we considered the following properties: a an example that neighbors more unsupervised examples is more influential for subsequent training, and therefore more in[r] ... See full document
26
Chinese Word Sense Disambiguation based on Context Expansion
... contextual word with ...For example, contextual word “清楚” has synonyms such as “清晰”,“明晰”,“历历” and “不可磨灭” in ...ambiguous word are rarely occur in large-scale ...which sense of the ... See full document
8
A New Word Sense Disambiguation System Based on Deduction
... Abstract— Word sense ambiguity resolution is one of the major issues in the process of machine ...and example-based methods are usually applied for this ...algorithm based on forward ... See full document
6
Random Walks for Knowledge Based Word Sense Disambiguation
... Our WSD algorithm can be applied over non-English texts, provided that a LKB for this particular language exists. We have applied our random walk algorithms to the Spanish WordNet (Atserias, Rigau, and Villarejo 2004), ... See full document
28
An Empirical Study on Class Based Word Sense Disambiguation
... a word. In the sense approach, one classifier is generated for each word sense, and the classifiers choose between the possible senses for the ...concrete word are all the examples of ... See full document
9
Enriching Wordnet for Word Sense Disambiguation
... linguistics, word-sense disambiguation (WSD) is an open problem of natural language processing, which governs the process of identifying which sense of a word ...the word has ... See full document
6
A Review on Word Sense Disambiguation
... learn based on information from curetted and structured data whereas supervised and clustering methods learn from example ...each word that needs to be ...all-words disambiguation. All-words ... See full document
6
Active Learning with Sampling by Uncertainty and Density for Word Sense Disambiguation and Text Classification
... uncertainty sampling that it often fails by selecting outliers, this paper presents a new selective sampling technique, sam- pling by uncertainty and density (SUD), in which a ... See full document
8
Determining the Difficulty of Word Sense Disambiguation
... The results using the IC-based measures (res,jcn and lin) and the path measure (path) are comparable; there is no statistical differ- ence between the scores (p P 0.26). The path measure quantifies the degree of ... See full document
9
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
Domain Kernels for Word Sense Disambiguation
... Regarding the second direction, external knowl- edge would be required to help WSD algorithms to better generalize over the data available for train- ing. On the other hand, most of the state-of-the-art supervised ... See full document
8
Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation
... Amazon Mechanical Turk (MTurk) is a mar- ketplace for so-called “human intelligence tasks” (HITs), or tasks that are easy for hu- mans but currently difficult for automated pro- cesses. Providers upload tasks to MTurk ... See full document
9
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
A comparison of Named Entity Disambiguation and Word Sense Disambiguation
... as disambiguation pages, “list of” pages, and pages of dates — using additional features collected with the core dictio- ...For example, for the string ABC, the EXCT dictionary offers 191 options, the LNRM ... See full document
8
Word Sense Disambiguation with Multilingual Features
... monolingual word sense disambiguation ...target word may be translated into other languages by using different words, which constitute unique, yet highly salient features that effectively ... See full document
10
A word sense disambiguation corpus for Urdu
... The most prominent effort in developing resources for WSD task is the series of competitions organized under the Senseval and SemEval banner. The outcome of these competitions is a set of benchmark corpora for WSD tasks, ... See full document
22
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 Statistical Models of Roget’s Categories Trained on Large Corpora
... Word Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora Word Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora Davi[.] ... See full document
7
Word Sense Disambiguation based Sentence Similarity
... each word with a part of speech ...a sense for each word in the 30 sentences based on the assigned ...applied based on the assumption that it is able to perform WSD cor- ... See full document
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