A review of word-sense disambiguation methods and algorithms: Introduction
The word-sense disambiguation task is a classification task, where the goal is to predict the meaning of words and phrases with the help of surrounding text. The purpose of this short review is to acquaint the reader with the general directions of word-sense disambiguation methods and algorithms. Th...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Karelian Research Centre of the Russian Academy of Sciences
2015-10-01
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| Series: | Transactions of the Karelian Research Centre of the Russian Academy of Sciences |
| Subjects: | |
| Online Access: | http://journals.krc.karelia.ru/index.php/mathem/article/view/135 |
| _version_ | 1818318101554397184 |
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| author | Tatiana Kaushinis Alexander Kirillov Nikita Korzhitsky Andrew Krizhanovsky Aleksander Pilinovich Irina Sikhonina Anna Spirkova Valentina Starkova Tatiana Stepkina Stanislav Tkach Julia Chirkova Alexey Chuharev Daria Shorets Daria Yankevich Ekaterina Yaryshkina |
| author_facet | Tatiana Kaushinis Alexander Kirillov Nikita Korzhitsky Andrew Krizhanovsky Aleksander Pilinovich Irina Sikhonina Anna Spirkova Valentina Starkova Tatiana Stepkina Stanislav Tkach Julia Chirkova Alexey Chuharev Daria Shorets Daria Yankevich Ekaterina Yaryshkina |
| author_sort | Tatiana Kaushinis |
| collection | DOAJ |
| description | The word-sense disambiguation task is a classification task, where the goal is to predict the meaning of words and phrases with the help of surrounding text. The purpose of this short review is to acquaint the reader with the general directions of word-sense disambiguation methods and algorithms. These approaches include the following groups of methods: neural network, machine learning meta-algorithms (AdaBoost), lexical chain computation, methods based on Bayes' theorem, context clustering and words clustering algorithms. The experimental comparison of different algorithms concludes this review. This paper is licensed under the CC Attribution license. |
| first_indexed | 2024-12-13T09:47:52Z |
| format | Article |
| id | doaj.art-b5c1a0953b8d45028d96eb95e217781f |
| institution | Directory Open Access Journal |
| issn | 1997-3217 2312-4504 |
| language | English |
| last_indexed | 2024-12-13T09:47:52Z |
| publishDate | 2015-10-01 |
| publisher | Karelian Research Centre of the Russian Academy of Sciences |
| record_format | Article |
| series | Transactions of the Karelian Research Centre of the Russian Academy of Sciences |
| spelling | doaj.art-b5c1a0953b8d45028d96eb95e217781f2022-12-21T23:52:00ZengKarelian Research Centre of the Russian Academy of SciencesTransactions of the Karelian Research Centre of the Russian Academy of Sciences1997-32172312-45042015-10-0110699810.17076/mat135134A review of word-sense disambiguation methods and algorithms: IntroductionTatiana Kaushinis0Alexander Kirillov1Nikita Korzhitsky2Andrew Krizhanovsky3Aleksander Pilinovich4Irina Sikhonina5Anna Spirkova6Valentina Starkova7Tatiana Stepkina8Stanislav Tkach9Julia Chirkova10Alexey Chuharev11Daria Shorets12Daria Yankevich13Ekaterina Yaryshkina14Petrozavodsk State UniversityInstitute of Applied Mathematical Research, Karelian Research Centre, Russian Academy of SciencesPetrozavodsk State UniversityInstitute of Applied Mathematical Research, Karelian Research Centre, Russian Academy of SciencesPetrozavodsk State UniversityPetrozavodsk State UniversityPetrozavodsk State UniversityInstitute of Applied Mathematical Research, Karelian Research Centre, Russian Academy of SciencesPetrozavodsk State UniversityPetrozavodsk State UniversityInstitute of Applied Mathematical Research, Karelian Research Centre, Russian Academy of SciencesInstitute of Applied Mathematical Research, Karelian Research Centre, Russian Academy of SciencesPetrozavodsk State UniversityPetrozavodsk State UniversityPetrozavodsk State UniversityThe word-sense disambiguation task is a classification task, where the goal is to predict the meaning of words and phrases with the help of surrounding text. The purpose of this short review is to acquaint the reader with the general directions of word-sense disambiguation methods and algorithms. These approaches include the following groups of methods: neural network, machine learning meta-algorithms (AdaBoost), lexical chain computation, methods based on Bayes' theorem, context clustering and words clustering algorithms. The experimental comparison of different algorithms concludes this review. This paper is licensed under the CC Attribution license.http://journals.krc.karelia.ru/index.php/mathem/article/view/135word-sense disambiguationneural networkboostinglexical chainnaive bayes classifierbayesian networkselectional preferencesword-sense discrimination |
| spellingShingle | Tatiana Kaushinis Alexander Kirillov Nikita Korzhitsky Andrew Krizhanovsky Aleksander Pilinovich Irina Sikhonina Anna Spirkova Valentina Starkova Tatiana Stepkina Stanislav Tkach Julia Chirkova Alexey Chuharev Daria Shorets Daria Yankevich Ekaterina Yaryshkina A review of word-sense disambiguation methods and algorithms: Introduction Transactions of the Karelian Research Centre of the Russian Academy of Sciences word-sense disambiguation neural network boosting lexical chain naive bayes classifier bayesian network selectional preferences word-sense discrimination |
| title | A review of word-sense disambiguation methods and algorithms: Introduction |
| title_full | A review of word-sense disambiguation methods and algorithms: Introduction |
| title_fullStr | A review of word-sense disambiguation methods and algorithms: Introduction |
| title_full_unstemmed | A review of word-sense disambiguation methods and algorithms: Introduction |
| title_short | A review of word-sense disambiguation methods and algorithms: Introduction |
| title_sort | review of word sense disambiguation methods and algorithms introduction |
| topic | word-sense disambiguation neural network boosting lexical chain naive bayes classifier bayesian network selectional preferences word-sense discrimination |
| url | http://journals.krc.karelia.ru/index.php/mathem/article/view/135 |
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