Academic literature on the topic 'Word sense disambiguation'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Word sense disambiguation.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Word sense disambiguation"

1

Gopal Mohadikar, Et al. "Sentence Semantic Similarity based Complex Network approach for Word Sense Disambiguation." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 286–93. http://dx.doi.org/10.17762/ijritcc.v11i10.8491.

Full text
Abstract:
Word Sense Disambiguation is a branch of Natural Language Processing(NLP) that deals with multi-sense words. The multi-sense words are referred to as the polysemous words. The term lexical ambiguity is introduced by the multi-sense words. The existing sense disambiguation module works effectively for single sentences with available context information. The word embedding plays a vital role in the process of disambiguation. The context-dependent word embedding model is used for disambiguation. The main goal of this research paper is to disambiguate the polysemous words by considering available
APA, Harvard, Vancouver, ISO, and other styles
2

Et. al., Chingakham PonyKumar Singh,. "A REVIEW ON WORD SENSE DISAMBIGUATION EMPHASIZING THE DATA RESOURCES ON WORDNET AND CORPUS." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (2021): 996–1016. http://dx.doi.org/10.17762/itii.v9i2.444.

Full text
Abstract:
Word Sense Disambiguation is a disambiguating technique of finding the most relevant sense of an ambiguous word with the aid of its surrounding words. In this paper, we pointed out the various Word Sense Disambiguation approaches along with its different techniques, state of the art, comparative studies of the existing system highlighting its benefits and limitations across all the widely well known Indian and foreign languages. In this paper, we converse our study by emphasizing to all the studies that uses WordNet, IndoWordNet or corpus as the main data resources of the referred languages.
APA, Harvard, Vancouver, ISO, and other styles
3

Suneetha, Eluri, and Kumar Pilli Vasu. "Global Word Sense Disambiguation of Polysemous Words in Telugu Language." International Journal of Engineering and Advanced Technology (IJEAT) 10, no. 1 (2020): 420–25. https://doi.org/10.35940/ijeat.A1915.1010120.

Full text
Abstract:
Word Sense Disambiguation (WSD) is a significant issue in Natural Language Processing (NLP). WSD refers to the capacity of recognizing the correct sense of a word in a given context. It can improve numerous NLP applications such as machine translation, text summarization, information retrieval, or sentiment analysis. This paper proposes an approach named ShotgunWSD. Shotgun WSD is an unsupervised and knowledgebased algorithm for global word sense disambiguation. The algorithm is motivated by the Shotgun sequencing technique. Shotgun WSD is proposed to disambiguate the word senses of Telugu doc
APA, Harvard, Vancouver, ISO, and other styles
4

Edmonds, Philip, and Eneko Agirre. "Word sense disambiguation." Scholarpedia 3, no. 7 (2008): 4358. http://dx.doi.org/10.4249/scholarpedia.4358.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Navigli, Roberto. "Word sense disambiguation." ACM Computing Surveys 41, no. 2 (2009): 1–69. http://dx.doi.org/10.1145/1459352.1459355.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Rupesh Mahajan,. "Effect of Supervised Sense Disambiguation Model Using Machine Learning Technique and Word Embedding in Word Sense Disambiguation." Journal of Electrical Systems 20, no. 1s (2024): 436–43. http://dx.doi.org/10.52783/jes.783.

Full text
Abstract:
Natural language processing includes a subfield called word sense disambiguation, which focuses mostly on words that might have several meanings. Polysemous terms are also referred to as confusing phrases in some circles. The performance of word sense disambiguation depends on how effectively the ambiguous word is recognized by the machine. The discussed word embedding model for the ambiguous words represents the words from the document space to vector space with no data loss. The most identified challenge of ambiguous word representation is the features. The selection and representation of am
APA, Harvard, Vancouver, ISO, and other styles
7

Zhang, Chun Xiang, Li Li Guo, and Xue Yao Gao. "Word Sense Disambiguation Based on Center Window." Advanced Materials Research 981 (July 2014): 157–60. http://dx.doi.org/10.4028/www.scientific.net/amr.981.157.

Full text
Abstract:
Word sense disambiguation is widely applied to information retrieval, semantic comprehension and automatic summarization. It is an important research problem in natural language processing. In this paper, the center window is determined from the target ambiguous word. The words in the center window are extracted as discriminative features. At the same time, a new method of word sense disambiguation is proposed and the disambiguation classifier is given. The classifier is optimized and tested on SemEval-2007 #Task5 corpus. Experimental results show that the accuracy rate of disambiguation arriv
APA, Harvard, Vancouver, ISO, and other styles
8

MIHALCEA, RADA F., and DAN I. MOLDOVAN. "A HIGHLY ACCURATE BOOTSTRAPPING ALGORITHM FOR WORD SENSE DISAMBIGUATION." International Journal on Artificial Intelligence Tools 10, no. 01n02 (2001): 5–21. http://dx.doi.org/10.1142/s0218213001000398.

Full text
Abstract:
In this paper, we present a bootstrapping algorithm for Word Sense Disambiguation which succeeds in disambiguating a subset of the words in the input text with very high precision. It uses WordNet and a semantic tagged corpus, for the purpose of identifying the correct sense of the words in a given text. The bootstrapping process initializes a set of ambiguous words with all the nouns and verbs in the text. It then applies various disambiguation procedures and builds a set of disambiguated words: new words are sense tagged based on their relation to the already disambiguated words, and then ad
APA, Harvard, Vancouver, ISO, and other styles
9

Dhungana, Udaya Raj, and Subarna Shakya. "Word Sense Disambiguation using Clue Words." Journal of the Institute of Engineering 10, no. 1 (2014): 192–98. http://dx.doi.org/10.3126/jie.v10i1.10900.

Full text
Abstract:
This paper presents a new model to disambiguate the correct sense of polysemy word based on the related context words for each different sense of the polysemy word. The related context words for each sense are referred to as clue words for the sense. The WordNet organises nouns, verbs, adjectives and adverbs together into sets of synonyms called synsets each expressing a different concept. In contrast to the structure of WordNet, we developed a model that organizes the different senses of polysemy words based on the clue words. These clue words for each sense of a polysemy word are used to dis
APA, Harvard, Vancouver, ISO, and other styles
10

Potapova, Rodmonga, Ksenia Oskina, and Vsevolod Potapov. "MODIFICATION OF TERM SENSE EMBEDDINGS REGARDING WORD-SENSE DISAMBIGUATION." Odessa linguistic journal 11 (2018): 53–57. http://dx.doi.org/10.32837/2312-3192-2018-11-53-57.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Word sense disambiguation"

1

Ciaramita, Massimiliano. "Broad-coverage hierarchical word sense disambiguation /." View online version; access limited to Brown University users, 2005. http://wwwlib.umi.com/dissertations/fullcit/3174590.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Alexopoulou, Dimitra. "Word-sense disambiguation in biomedical ontologies." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-62843.

Full text
Abstract:
With the ever increase in biomedical literature, text-mining has emerged as an important technology to support bio-curation and search. Word sense disambiguation (WSD), the correct identification of terms in text in the light of ambiguity, is an important problem in text-mining. Since the late 1940s many approaches based on supervised (decision trees, naive Bayes, neural networks, support vector machines) and unsupervised machine learning (context-clustering, word-clustering, co-occurrence graphs) have been developed. Knowledge-based methods that make use of the WordNet computational lexicon h
APA, Harvard, Vancouver, ISO, and other styles
3

Dionisio, Nuno M. F. "Nominal taxonomies and word sense disambiguation." Thesis, University of East Anglia, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405219.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Sanderson, Mark. "Word sense disambiguation and information retrieval." Thesis, University of Glasgow, 1996. http://theses.gla.ac.uk/4463/.

Full text
Abstract:
Starting with a review of previous research that attempted to improve the representation of documents in IR systems, this research is reassessed in the light of word sense ambiguity. It will be shown that a number of the attempts' successes or failures were due to the noticing or ignoring of ambiguity. In the review of disambiguation research, many varied techniques for performing automatic disambiguities are introduced. Research on the disambiguating abilities of people is presented also. It has been found that people are inconsistent when asked to disambiguate words and this causes problems
APA, Harvard, Vancouver, ISO, and other styles
5

Hawkins, Paul Martin. "DURHAM : a word sense disambiguation system." Thesis, Durham University, 1999. http://etheses.dur.ac.uk/4493/.

Full text
Abstract:
Ever since the 1950's when Machine Translation first began to be developed, word sense disambiguation (WSD) has been considered a problem to developers. In more recent times, all NLP tasks which are sensitive to lexical semantics potentially benefit from WSD although to what extent is largely unknown. The thesis presents a novel approach to the task of WSD on a large scale. In particular a novel knowledge source is presented named contextual information. This knowledge source adopts a sub-symbolic training mechanism to learn information from the context of a sentence which is able to aid disam
APA, Harvard, Vancouver, ISO, and other styles
6

Christiansson, Jens, and Zeina Zimmerman. "Word sense disambiguation med Svenskt OrdNät." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-18220.

Full text
Abstract:
In information retrieval there is a problem with ambiguous words. To solve this problem word sense disambiguation WSD is used. Few studies combining information retrieval and word sense disambiguation have been conducted with Swedish words. The purpose of this thesis has been divided in two. The first purpose was to examine Swedish information retrieval and disambiguation in the query phase. The second purpose was to compare the disambiguation between automatic and manual expansion. We chose a number of topics from the GP_HDINF test collection in Query Performance Analyser QPA. The topics
APA, Harvard, Vancouver, ISO, and other styles
7

Chasin, Rachel (Rachel G. ). "Word sense disambiguation in clinical text." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/84878.

Full text
Abstract:
Thesis (M. Eng.)--Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 57-59).<br>Lexical ambiguity, the ambiguity arising from a string with multiple meanings, is pervasive in language of all domains. Word sense disambiguation (WSD) and word sense induction (WSI) are the tasks of resolving this ambiguity. Applications in the clinical and biomedical domain focus on the potential disambiguation has for information extraction. Most approaches to the problem ar
APA, Harvard, Vancouver, ISO, and other styles
8

Stickgold, Eli (Eli B. ). "Word sense disambiguation through lattice learning." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66811.

Full text
Abstract:
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 51).<br>The question of how a computer reading a text can go from a word to its meaning is an open and difficult one. The WordNet[3] lexical database uses a system of nested supersets to allow programs to be specific as to what meaning of a word they are using, but a system that picks the correct meaning is still necessary. In an attempt to capture the human understanding of this problem and prod
APA, Harvard, Vancouver, ISO, and other styles
9

Dandala, Bharath. "Multilingual Word Sense Disambiguation Using Wikipedia." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc500036/.

Full text
Abstract:
Ambiguity is inherent to human language. In particular, word sense ambiguity is prevalent in all natural languages, with a large number of the words in any given language carrying more than one meaning. Word sense disambiguation is the task of automatically assigning the most appropriate meaning to a polysemous word within a given context. Generally the problem of resolving ambiguity in literature has revolved around the famous quote “you shall know the meaning of the word by the company it keeps.” In this thesis, we investigate the role of context for resolving ambiguity through three differe
APA, Harvard, Vancouver, ISO, and other styles
10

Baragh, Armin Shams. "A novel model for word sense disambiguation." Thesis, University of Manchester, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.527417.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Word sense disambiguation"

1

Agirre, Eneko, and Philip Edmonds, eds. Word Sense Disambiguation. Springer Netherlands, 2006. http://dx.doi.org/10.1007/978-1-4020-4809-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Agirre, Eneko, and Philip Edmonds, eds. Word Sense Disambiguation. Kluwer Academic Publishers, 2006. http://dx.doi.org/10.1007/1-4020-4809-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Eneko, Agirre, and Edmonds Philip Glenny, eds. Word sense disambiguation: Algorithms and applications. Springer, 2007.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Cottrell, Garrison Weeks. A connectionist approach to word sense disambiguation. Pitman, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

T. Hristea, Florentina. The Naïve Bayes Model for Unsupervised Word Sense Disambiguation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33693-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Stevenson, Mark. Word sense disambiguation: The case for combinations of knowledge sources. Center for the Study of Language and Information, 2003.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kwong, Oi Yee. New Perspectives on Computational and Cognitive Strategies for Word Sense Disambiguation. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-1320-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Wu, Xinyu. Development of a hybrid symbolic/connectionist system for word sense disambiguation. The Author], 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Kwong, Oi Yee. New Perspectives on Computational and Cognitive Strategies for Word Sense Disambiguation. Springer New York, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Hristea, Florentina T. The Naïve Bayes Model for Unsupervised Word Sense Disambiguation: Aspects Concerning Feature Selection. Springer Berlin Heidelberg, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Word sense disambiguation"

1

Miikkulainen, Risto, and Rada Mihalcea. "Word Sense Disambiguation." In Encyclopedia of Machine Learning. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_882.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Hakenberg, Jörg. "Word Sense Disambiguation." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_184.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Paprotté, Wolf. "Word Sense Disambiguation." In Current Issues in Linguistic Theory. John Benjamins Publishing Company, 1998. http://dx.doi.org/10.1075/cilt.171.14pap.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Dahlgren, Kathleen. "Word Sense Disambiguation." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1075-4_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Mihalcea, Rada. "Word Sense Disambiguation." In Encyclopedia of Machine Learning and Data Mining. Springer US, 2017. http://dx.doi.org/10.1007/978-1-4899-7687-1_882.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Anaya-Sánchez, Henry, Aurora Pons-Porrata, and Rafael Berlanga-Llavori. "Word Sense Disambiguation Based on Word Sense Clustering." In Advances in Artificial Intelligence - IBERAMIA-SBIA 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11874850_51.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Siemiński, Andrzej. "WordNet Based Word Sense Disambiguation." In Computational Collective Intelligence. Technologies and Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23938-0_41.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Dandala, Bharath, Rada Mihalcea, and Razvan Bunescu. "Word Sense Disambiguation Using Wikipedia." In The People’s Web Meets NLP. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35085-6_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Bhingardive, Sudha, and Pushpak Bhattacharyya. "Word Sense Disambiguation Using IndoWordNet." In The WordNet in Indian Languages. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1909-8_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Agirre, Eneko, and David Martinez. "Smoothing and Word Sense Disambiguation." In Advances in Natural Language Processing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30228-5_32.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Word sense disambiguation"

1

Huang, Xueting, Jian Zhang, and Yuanzhe Ma. "GC-PCWR+ for Word Sense Disambiguation." In 2024 International Conference on Asian Language Processing (IALP). IEEE, 2024. http://dx.doi.org/10.1109/ialp63756.2024.10661141.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Sanfilippo, Antonio, Stephen Tratz, and Michelle Gregory. "Word domain disambiguation via word sense disambiguation." In the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers. Association for Computational Linguistics, 2006. http://dx.doi.org/10.3115/1614049.1614085.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Hoste, Véronique, Walter Daelemans, Iris Hendrickx, and Antal van den Bosch. "Dutch word sense disambiguation." In the ACL-02 workshop. Association for Computational Linguistics, 2002. http://dx.doi.org/10.3115/1118675.1118684.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Akkaya, Cem, Janyce Wiebe, and Rada Mihalcea. "Subjectivity word sense disambiguation." In the 2009 Conference. Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1699510.1699535.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Audibert, Laurent. "Word sense disambiguation criteria." In the 20th international conference. Association for Computational Linguistics, 2004. http://dx.doi.org/10.3115/1220355.1220486.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Haroon, Rosna P. "Malayalam word sense disambiguation." In 2010 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2010. http://dx.doi.org/10.1109/iccic.2010.5705793.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

"ARABIC WORD SENSE DISAMBIGUATION." In 2nd International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002762106520655.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Kang, Myung Yun, Tae Hong Min, and Jae Sung Lee. "Sense Space for Word Sense Disambiguation." In 2018 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2018. http://dx.doi.org/10.1109/bigcomp.2018.00122.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Zobaed, Sm, Md Enamul Haque, Md Fazle Rabby, and Mohsen Amini Salehi. "SensPick: Sense Picking for Word Sense Disambiguation." In 2021 IEEE 15th International Conference on Semantic Computing (ICSC). IEEE, 2021. http://dx.doi.org/10.1109/icsc50631.2021.00060.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Acikgoz, Onur, Ali Tunca Gurkan, Burak Ertopcu, et al. "All-words word sense disambiguation for Turkish." In 2017 International Conference on Computer Science and Engineering (UBMK). IEEE, 2017. http://dx.doi.org/10.1109/ubmk.2017.8093442.

Full text
APA, Harvard, Vancouver, ISO, and other styles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!