Sense disambiguation in polysemous words: cognitive perspective
نویسندگان
چکیده
منابع مشابه
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We propose a new method that uses a dictionary to learn models of visual word sense from a large collection of unlabeled web data. The use of LDA to discover a latent sense space makes the model robust despite the very l...
متن کاملWord Sense Annotation of Polysemous Words by Multiple Annotators
We describe results of a word sense annotation task using WordNet, involving half a dozen well-trained annotators on ten polysemous words for three parts of speech. One hundred sentences for each word were annotated. Annotators had the same level of training and experience, but interannotator agreement (IA) varied across words. There was some effect of part of speech, with higher agreement on n...
متن کاملUnsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We propose a new method that uses a dictionary to learn models of visual word sense from a large collection of unlabeled web data. The use of LDA to discover a latent sense space makes the model robust despite the very l...
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This research presented the use of bilingual dictionary and addressed the EFL translation students' points of view on the use of bilingual dictionary in translating polysemous words (English to Persian). Moreo- ver, it aimed at finding the possible relationship between the effect of using bilingual dictionary by stu- dents in translating polysemous words and their achieved scores. In the study ...
متن کاملWord Sense Disambiguation: A Structured Learning Perspective
This paper explores the application of structured learning methods (SLMs) to word sense disambiguation (WSD). On one hand, the semantic dependencies between polysemous words in the sentence can be encoded in SLMs. On the other hand, SLMs obtained significant achievements in natural language processing, and so it is a natural idea to apply them to WSD. However, there are many theoretical and pra...
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ژورنال
عنوان ژورنال: Psychology in Russia: State of Art
سال: 2013
ISSN: 2074-6857
DOI: 10.11621/pir.2013.0306