Filters








27,565 Hits in 3.5 sec

Semantic Relatedness for Keyword Disambiguation: Exploiting Different Embeddings [article]

María G. Buey and Carlos Bobed and Jorge Gracia and Eduardo Mena
2020 arXiv   pre-print
This has been tackled by research in Word Sense Disambiguation (WSD) in the Natural Language Processing (NLP) field.  ...  Even when they do, the list of possible meanings for a word (sense inventory) has to be known in advance at training time to be included in the embeddings space.  ...  Given a context C ∈ K, and a word to disambiguate k d ∈ K, the active context C a of k d is a subset C a ⊆C such that ∀k i ∈C a , k j ∈ (C −C a ) ∋rel(k j ,k d ) >rel(k i ,k d ).  ... 
arXiv:2002.11023v1 fatcat:uzyyqmimonbyhd5qx4sfwqso5i

Unsupervised word sense disambiguation using WordNet relatives

Hee-Cheol Seo, Hoojung Chung, Hae-Chang Rim, Sung Hyon Myaeng, Soo-Hong Kim
2004 Computer Speech and Language  
The result of sense disambiguation is a relative that can substitute for that target noun in a context.  ...  This paper describes a sense disambiguation method for a polysemous target noun using the context words surrounding the target noun and its WordNet relatives, such as synonyms, hypernyms and hyponyms.  ...  If there is a polysemous relative which is strongly related to a context, it is very helpful for disambiguating the sense of the target word in the context.  ... 
doi:10.1016/j.csl.2004.05.004 fatcat:6hrpkz3sgvgvpijy4yrymhybqm

Statistical sense disambiguation with relatively small corpora using dictionary definitions

Alpha K. Luk
1995 Proceedings of the 33rd annual meeting on Association for Computational Linguistics -  
Using the definitionbased conceptual co-occurrence data collected from the relatively small Brown corpus, our sense disambiguation system achieves an average accuracy comparable to human performance given  ...  Corpus-based sense disambiguation methods, like most other statistical NLP approaches, suffer from the problem of data sparseness.  ...  Acknowledgments t I would like to thank Robert Dale and Vance Gledhill for their helpful comments on earlier drafts of this paper, and Richard Buckland and Mark Dras for their help with the statistics.  ... 
doi:10.3115/981658.981683 dblp:conf/acl/Luk95 fatcat:irlgtwnjrfh4rp4b2wndqotrmq

Word sense disambiguation in information retrieval revisited

Christopher Stokoe, Michael P. Oakes, John Tait
2003 Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03  
Despite continued research into the application of automated word sense disambiguation, the question remains as to whether less than 90% accurate automated word sense disambiguation can lead to improvements  ...  In this study we explore the development and subsequent evaluation of a statistical word sense disambiguation system which demonstrates increased precision from a sense based vector space retrieval model  ...  We would then do the same for cooccurrences, and finally if we had no specific sense data for a word or if no co-occurrences or collocates were observed in the context window, we would tag the word based  ... 
doi:10.1145/860435.860466 dblp:conf/sigir/StokoeOT03 fatcat:uxuyr2a445cj3b5adex5bsve7e

General Word Sense Disambiguation Method Based on a Full Sentential Context

Jiri Stetina, Makoto Nagao
1998 Journal of Natural Language Processing  
context and all the explicit semantic relations in a sentence to identify the senses of all of that sentence's content words.  ...  This paper presents a new general supervised word sense disambiguation method based on a relatively small syntactically parsed and semantically tagged training corpus.The method exploits a full sentential  ...  task of Word Sense Disambiguation is to determine the correct sense of a word in a given context.Consider,for example,the following sentences: (a)The central bank raised the interest rate.  ... 
doi:10.5715/jnlp.5.2_47 fatcat:2niac5taprettapaslweaw57om

Word sense disambiguation in information retrieval revisited

Christopher Stokoe, Michael P. Oakes, John Tait
2003 Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03  
Despite continued research into the application of automated word sense disambiguation, the question remains as to whether less than 90% accurate automated word sense disambiguation can lead to improvements  ...  In this study we explore the development and subsequent evaluation of a statistical word sense disambiguation system which demonstrates increased precision from a sense based vector space retrieval model  ...  We would then do the same for cooccurrences, and finally if we had no specific sense data for a word or if no co-occurrences or collocates were observed in the context window, we would tag the word based  ... 
doi:10.1145/860465.860466 fatcat:iwzxz2yzrfa7zfs7rmfsj35vfu

Applying Convolutional Neural Network Model and Auto - expanded Corpus to Biomedical Abbreviation Disambiguation

Ren Kai, Computer Sch ool, Wuhan University, Wuhan, 430072, China, Wang Shi - Wen, College of Computer Science, South - Central University for Nationalities, Wuhan, China, Confucius Institute, New Jersey City University, 2039 Kennedy Blvd, Jersey City, NJ, 07305, United States
2016 Journal of Engineering Science and Technology Review  
This study provides a basis for effectively improving the accuracy of abbreviation disambiguation in the biomedical field without a large labelled corpus and for increasing the accuracy of follow-up work  ...  A large quantity of manually labelled corpuses is required in existing methods for training models, thereby restricting the application range of abbreviation disambiguation.  ...  Acknowledgements This work was supported by the Fundamental Research Funds for the Central Universities, South-Central University for Nationalities (CZQ14012, CZY15023).  ... 
doi:10.25103/jestr.096.27 fatcat:fhx7d4q265a3tk4jmxxuixh2aa

An Insight into Word Sense Disambiguation Techniques

Harsimran Singh, Vishal Gupta
2015 International Journal of Computer Applications  
This paper presents various techniques used in the area of Word Sense Disambiguation (WSD).  ...  previously semantically annotated corpus; Unsupervised approaches that form cluster occurrences of words.  ...  INTRODUCTION Word Sense Disambiguation is the determination of sense of a particular word used in a particular context.  ... 
doi:10.5120/20888-3666 fatcat:igoikbgvavfetfptwinwbz5z7y

A chain dictionary method for Word Sense Disambiguation and applications [article]

Doina Tatar, Gabriela Serban, Andreea Mihis, Mihaiela Lupea, Dana Lupsa, Militon Frentiu
2008 arXiv   pre-print
A large class of unsupervised algorithms for Word Sense Disambiguation (WSD) is that of dictionary-based methods.  ...  Our approach uses the lexical base WordNet for a new algorithm originated in Lesk's, namely "chain algorithm for disambiguation of all words", CHAD.  ...  THE POLYSEMY Word sense disambiguation is the process of identifying the correct sense of words in particular contexts.  ... 
arXiv:0806.2581v1 fatcat:c3ohnoehpfehxi356evw6wasza

How big is big enough? Unsupervised word sense disambiguation using a very large corpus [article]

Piotr Przybyła
2017 arXiv   pre-print
In this paper, the problem of disambiguating a target word for Polish is approached by searching for related words with known meaning.  ...  The na\"ive Bayesian classifier has been modified to account for an unknown distribution of senses.  ...  The author would like to thank Dariusz Czerski and NEKST team for providing access to the search engine index and helpful discussions and Matthew Shardlow for comments that greatly improved the manuscript  ... 
arXiv:1710.07960v1 fatcat:6qyvjelgdbekldokdxj54svkw4

Processing and Representation of Ambiguous Words in Chinese Reading: Evidence from Eye Movements

Wei Shen, Xingshan Li
2016 Frontiers in Psychology  
In the current study, we used eye tracking to investigate whether senses of polysemous words and meanings of homonymous words are represented and processed similarly or differently in Chinese reading.  ...  The study also found that participants took longer to read the target word and the disambiguating text following it when the prior context and disambiguating regions favored divergent meanings rather than  ...  ACKNOWLEDGMENTS This research was supported by a grant from the Natural Science Foundation of China (31571125), and was supported by Beijing Advanced Innovation Center for Imaging Technology (BAICIT-2016018  ... 
doi:10.3389/fpsyg.2016.01713 pmid:27857701 pmcid:PMC5093148 fatcat:3hvln4cpcjc7ldo4qaejid6h3u

Word Sense Disambiguation Techniques for Indian and other Asian Languages: A Survey

Mulkalapalli Srinivas, B. Padmaja
2016 International Journal of Computer Applications  
Word sense disambiguation is a method of determining the appropriate sense of a polysemous word in the context. WSD is almost finished for English.  ...  Natural Languages used by people for establishing proper communication consist of many words having multiple meanings known as polysemous but implies a single sense depending on the context.  ...  Word sense Disambiguation [1] is the process of identifying the correct sense of a word that has several meanings in the context in a computational paradigm.  ... 
doi:10.5120/ijca2016912507 fatcat:rdpfq2gjdnbzlg3m5xokx6gbna

The Uned systems at Senseval-2 [article]

David Fernandez-Amoros, Julio Gonzalo, Felisa Verdejo
2009 arXiv   pre-print
This is slightly worse than the first sense heuristic for all words and 3.6% better for the lexical sample, a strong indication that unsupervised Word Sense Disambiguation remains being a strong challenge  ...  Our system scored first among unsupervised systems in both tasks: 56.9% recall in all words, 40.2% in lexical sample.  ...  In order to assign a score to a sense, we count the coocurrences of words in the context of the word to be disambiguated with the words in the definition of the senses (the WordNet gloss tokenized, lemmatized  ... 
arXiv:0910.5410v1 fatcat:blgxqh6dk5e67kteop3kf2ms2u

Word sense disambiguation in Mongolian language

Batzolboo Bataa, Khuder Altangerel
2012 2012 7th International Forum on Strategic Technology (IFOST)  
A word sense could be disambiguated by other words in the context as nouns, verbs used with the word.  ...  In this research, we have analyzed the result of an experiment on a word disambiguation system for Mongolian language based on statistical model, to which one sense per collocation algorithm is applied  ...  INTRODUCTION Word sense disambiguation (WSD) refers to disambiguating the sense of a word contextually suitable for the sentence when it is used with two or more different meanings in sentences [1] [  ... 
doi:10.1109/ifost.2012.6357625 fatcat:qszeporcufg4fmfcewelgowizq

An unsupervised & statistical word sense tagging using bilingual sources

Oliveira, Wong, Li
2005 2005 International Conference on Machine Learning and Cybernetics  
After all the senses discovered, its semantic and syntactical information are converted into a set of rules and stored in the database for later use in the disambiguation process.  ...  An unsupervised learning is applied and a non-aligned bilingual Portuguese to Chinese bilingual corpus is used in disambiguating word senses.  ...  For each of these words, their corresponding related words are identified based on a defined context window and their relative distance.  ... 
doi:10.1109/icmlc.2005.1527592 fatcat:m5ahqt655fan5il76rvzw3ktwy
« Previous Showing results 1 — 15 out of 27,565 results