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Extraction of Hypernyms from Dictionaries with a Little Help from Word Embeddings
P. 76–87.
The paper investigates several techniques for hypernymy extraction from a large collection of dictionary definitions in Russian. First, definitions from different dictionaries are clustered, then single words and multiwords are extracted as hypernym candidates. A classification-based approach on pre-trained word embeddings is implemented as a complementary technique. In total, we extracted about 40K unique hypernym candidates for 22K word entries. Evaluation showed that the proposed methods applied to a large collection of dictionary data are a viable option for automatic extraction of hyponym/hypernym pairs. The obtained data is available for research purposes.
In book
Springer, 2018.
Romanova T. V., В кн.: Когнитивные исследования языка. Вып. №1 (62): материалы Международной научной конференции по когнитивной лингвистике. 5-7 июня 2025. Ч.1Ч. 1. Кн. 62. Вып. 1.: Тюмень: ТюмГУ-Press, 2025. С. 447–450.
В статье рассмотрена классификация терминов когнитивной лингвистики по разным основаниям: по структуре, аутентичности, степени мотивированности, полисемантичности, а также по видам семантических отношений и оппозиций, в которые вступают термины в терминосистеме. ...
Added: June 9, 2025
Serikov O., Ganeeva V., Аксенова А. А. et al., Вестник Новосибирского государственного университета. Серия: Лингвистика и межкультурная коммуникация 2023 Т. 21 № 1 С. 67–82
Since its inception, the Word2vec vector space has become a universal tool both for scientific and practical activities. Over time, it became clear that there is a lack of new methods for interpreting the location of words in vector spaces. The existing methods included consideration of analogies or clustering of a vector space. In recent ...
Added: April 28, 2025
Orekhov B., / Series Computer Science "arxiv.org". 2024.
In this paper, I apply linguistic methods of analysis to non-linguistic data, chess plays, metaphorically equating one with the other and seeking analogies. Chess game notations are also a kind of text, and one can consider the records of moves or positions of pieces as words and statements in a certain language. In this article ...
Added: August 8, 2024
Malik M. S., Nawaz A., Jamjoom M. M. et al., Intelligent Data Analysis 2024 Vol. 28 No. 4 P. 1045–1065
Online product reviews (OPR) are a commonly used medium for consumers to communicate their experiences with products during online shopping. Previous studies have investigated the helpfulness of OPRs using frequency-based, linguistic, meta-data, readability, and reviewer attributes. In this study, we explored the impact of robust contextual word embeddings, topic, and language models in predicting the ...
Added: February 26, 2024
Matkin N., Коммуникации. Медиа. Дизайн 2025 Т. 10 № 3 С. 89–110
The article offers an analysis and visualization of Russian city images that emerge in the comments of urban community subscribers and posts from administrative press services. The city image is regarded as a frame structure that develops through political and interpersonal communication in the network. The social component of the city image is identified as ...
Added: November 15, 2023
Sokolova A., Lobanova P., Kuzminov I., Foresight 2024 Vol. 26 No. 1 P. 155–180
Purpose
The purpose of the paper is to present an integrated methodology for identifying trends in a particular subject area based on a combination of advanced text mining and expert methods. The authors aim to test it in an area of clinical psychology and psychotherapy in 2010–2019.
Design/methodology/approach
The authors demonstrate the way of applying text-mining and the ...
Added: October 12, 2023
Malik M. S., Imran T., Mona Mamdouh J., PeerJ Computer Science 2023 Vol. 9 Article e1248
Online propaganda is a mechanism to influence the opinions of social media users. It is a growing menace to public health, democratic institutions, and public society. The present study proposes a propaganda detection framework as a binary classification model based on a news repository. Several feature models are explored to develop a robust model such ...
Added: September 4, 2023
Muhammad Z. Y., Malik M. S., Ignatov D. I., Expert Systems with Applications 2023 Vol. 227 Article 120236
Product defects are a widespread concern for manufacturers when conducting quality and customer relationship management. Prior approaches addressed many electronic products however cell phones are still unexplored. Moreover, prior work mainly focused on the lexicon, probabilistic graphic, failure mode, and effect analysis models but the utilization of word embeddings and language models are not explored. State-of-the-art contextual word embeddings and language models generate automated features and ...
Added: June 13, 2023
Zemicheva S., В кн.: Лексикография цифровой эпохи: сборник материалов Международного симпозиума (24–25 сентября 2021 г.).: Издательство Томского государственного университета, 2021. С. 344–346.
Представлен опыт составления электронного идиолектного словаря идеографического типа, созданного на материале записей речи носителя сибирского говора. Кратко охарактеризованы особенности словаря. Описан потенциал его использования в русле когнитивной исследовательской парадигмы. ...
Added: November 1, 2022
Romanova T. V., В кн.: Когнитивные исследования языкаВып. 2(49): Когнитивная лингвистика и межкультурная коммуникация.: Тамбов: Издательский дом ТГУ им. Г.Р. Державина, 2022. С. 97–102.
Статья посвящена проекту словаря-справочника терминов, используемых в когнитивной науке, в том числе в когнитивной лингвистике. ...
Added: September 12, 2022
Ryzhova A., Ryzhova D., Sochenkov I., , in: Computational Linguistics and Intellectual Technologies: Papers from the Annual International Conference “Dialogue” (2021)Issue 20: Основной том.: -, 2021. P. 597–606.
Added: October 30, 2021
Tyers F. M., Keleg A., Pirinen T., , in: Proceedings of The 12th Language Resources and Evaluation ConferenceVol. 12.: European Language Resources Association (ELRA), 2020. P. 3842–3850.
Morphological analysis is one of the tasks that have been studied for years. Different techniques have been used to develop models for performing morphological analysis. Models based on finite state transducers have proved to be more suitable for languages with low available resources. In this paper, we have developed a method for weighting a morphological ...
Added: April 20, 2021
Aleshinskaya E., Albatsha Ahmad, , in: Procedia Computer ScienceIssue 169: Postproceedings of the 10th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2019 (Tenth Annual Meeting of the BICA Society).: Elsevier, 2020. P. 326–329.
The paper presents the results of the cognitive modeling of the COMPUTER SCIENCE terminological system in the form of a thesaurus. The thesaurus comprises over 3000 units, which are drawn from explanatory monolingual and bilingual dictionaries of computer science terms representing the basic phenomena and processes in the professional context. Methodologically, the analysis is based ...
Added: April 13, 2021
Ryazanskaya G., Khudyakova M., , in: Proceedings of the LREC 2020 Workshop on: Resources and Processing of Linguistic, Para-linguistic and Extra-linguistic Data from People with Various Forms of Cognitive/Psychiatric/Developmental Impairments (RaPID-3).: European Language Resources Association (ELRA), 2020. P. 98–107.
Disorganized, or incoherent, speech is one of the important criteria for diagnosing schizophrenia. However, there is still a lack of a rather quick objective method of measuring speech coherence. Automated discourse analysis is a possible solution to this problem. We analyzed discourse coherence in a set of spoken narratives by people with schizophrenia and neurotypical speakers ...
Added: February 2, 2021
Karyaeva M., Braslavski P., Sokolov V., Automatic Control and Computer Sciences 2019 Vol. 53 P. 638–643
The ability to identify semantic relations between words has made a word2vec model widely used in NLP tasks. The idea of word2vec is based on a simple rule that a higher similarity can be reached if two words have a similar context. Each word can be represented as a vector, so the closest coordinates of vectors can be interpreted ...
Added: April 10, 2020
Zobnin A., Elistratova E., , in: Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)Issue W19-43.: Association for Computational Linguistics, 2019. P. 244–249.
Most word embedding algorithms such as word2vec or fastText construct two sort of vectors: for words and for contexts. Naive use of vectors of only one sort leads to poor results. We suggest using indefinite inner product in skip-gram negative sampling algorithm. This allows us to use only one sort of vectors without loss of ...
Added: November 9, 2019
Shavrina T., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 29 мая — 1 июня 2019 г.)Вып. 18(25).: [б.и.], 2019. P. 576–588.
This article launches a series of studies in which popular vector word2vec models are considered not as an element of the architecture of an NLP application, but as an independent object of linguistic research. The linguist's view on the surrogate of contexts on the corpus, as which vector models can be considered, makes it possible ...
Added: September 5, 2019
Braslavski P., Ustalov D., Mukhin M. et al., , in: Proceedings of the 8th Global WordNet Conference, GWC 2016.: Bucharest: [б.и.], 2016. P. 58–65.
YARN (Yet Another RussNet), a project started in 2013, aims at creating a large open WordNet-like thesaurus for Russian by means of crowdsourcing. The first stage of the project was to create noun synsets. Currently, the resource comprises 100K+ word entries and 46K+ synsets. More than 200 people have taken part in assembling synsets throughout ...
Added: November 9, 2018
Antropova O., Arslanova E., Shaposhnikov M. et al., , in: Artificial Intelligence and Natural Language, 7th International Conference, AINL 2018, St. Petersburg, Russia, October 17–19, 2018, ProceedingsIssue 930.: Switzerland: Springer, 2018. P. 133–138.
The study deals with post-processing of a noisy collection of synsets created using crowdsourcing. First, we cluster long synsets in three different ways. Second, we apply four cluster cleaning techniques based either on word popularity or word embeddings. Evaluation shows that the method based on word embeddings and existing dictionary definitions delivers best results. ...
Added: November 9, 2018