Word2vec not dead: predicting hypernyms of co-hyponyms is better than reading definitions

Lopukhina Anastasia, Pletenev S., Nikiforova A. и др., , in: Proceedings of the Second Workshop on Linguistic and Neurocognitive Resources.: Marseille: European Language Resources Association (ELRA), 2020. P. 28–37.

Добавлено: 20 апреля 2021 г.

Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution

Nikolay Arefyev, Sheludko B., Podolskiy A. и др., , in: Proceedings of the 28th International Conference on Computational Linguistics.: International Committee on Computational Linguistics, 2020. P. 1242–1255.

Добавлено: 7 декабря 2020 г.

SumTitles: a Summarization Dataset with Low Extractiveness

Malykh V., Chernis K., Артемова Е. Л. и др., , in: Proceedings of the 28th International Conference on Computational Linguistics.: International Committee on Computational Linguistics, 2020. Ch. 503 P. 5718–5730.

Добавлено: 6 декабря 2020 г.

A resource-light method for cross-lingual semantic textual similarity

Glavas G., Franco-Salvador M., Ponzetto S. и др., Knowledge-Based Systems 2018 Vol. 143 P. 1–9

Добавлено: 29 октября 2020 г.

Scalable and language-independent embedding-based approach for plagiarism detection considering obfuscation type: no training phase

Gharavi E., Veisi H., Россо П., Neural Computing and Applications 2020 Vol. 32 No. 14 P. 10593–10607

Добавлено: 29 октября 2020 г.

Evaluation of Vector Transformations for Russian Word2Vec and FastText Embeddings

Korogodina O., Karpik O., Klyshinsky E., , in: GraphiCon 2020 - Proceedings of the 30th International Conference on Computer Graphics and Machine Vision.: St. Petersburg: CEUR-WS, 2020.

Добавлено: 21 октября 2020 г.

Neural GRANNy at SemEval-2019 Task 2: A combined approach for better modeling of semantic relationships in semantic frame induction

Arefyev Nikolay, Sheludko B., Adis D. и др., , in: Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019).: Minneapolis: Association for Computational Linguistics, 2019. P. 31–38.

Добавлено: 10 октября 2020 г.

Hm2 at semeval 2019 task2: Unsupervised frame induction using contextualized and uncontextualized word embeddings

Anwar S., Ustalov D., Арефьев Н. В. и др., , in: Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019).: Minneapolis: Association for Computational Linguistics, 2019. P. 125–129.

Добавлено: 10 октября 2020 г.

How much does a word weight? Weighting word embeddings for word sense induction

Arefyev, N., Ermolaev P., Panchenko A., , in: Computational Linguistics and Intellectual Technologies. International Conference "Dialogue 2018" Proceedings.: M.: Conference Proceedings Editorial board, 2018. P. 68–84.

Добавлено: 9 октября 2020 г.

Neural networks with attention for word sense induction

Struyanskiy O., Arefyev, N., , in: Supplementary Proceedings of the 7th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2018), Moscow, Russia, July 5-7, 2018.: Aachen: CEUR Workshop Proceedings, 2018. P. 208–213.

Добавлено: 9 октября 2020 г.

Combining neural language models for word sense induction

Arefyev, N, Boris S., Aleksashina T., , in: Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Lecture Notes in Computer Science, Revised Selected PapersVol. 11832.: Cham: Springer, 2019. P. 105–121.

Добавлено: 9 октября 2020 г.

Combining Lexical Substitutes in Neural Word Sense Induction

Nikolay Arefyev, Boris S., Panchenko A., , in: Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2019.: INCOMA Ltd, 2019. P. 62–70.

Добавлено: 9 октября 2020 г.

Word Embedding for Semantically Related Words: An Experimental Study

Karyaeva M., Браславский П. И., Sokolov V., Automatic Control and Computer Sciences 2019 Vol. 53 P. 638–643

Добавлено: 10 апреля 2020 г.

Data-driven models and computational tools for neurolinguistics: a language technology perspective

Ekaterina Artemova, Бакаров А. А., Артемов А. В. и др., Journal of Cognitive Science 2020 Vol. 1 No. 21 P. 15–52

Добавлено: 17 января 2020 г.

Learning Word Embeddings without Context Vectors

Зобнин А. И., 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.

Добавлено: 9 ноября 2019 г.

A Dataset for Noun Compositionality Detection for a Slavic Language

Puzyrev D., Shelmanov A., Panchenko A. и др., , in: Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing, 2019, Florence, Italy, Association for Computational Linguistics.: Association for Computational Linguistics, 2019. P. 56–62.

Добавлено: 30 октября 2019 г.

Noun Compositionality Detection using Distributional Semantics for the Russian Language

Пузырев Д. А., Shelmanov A., Panchenko A. и др., , in: Analysis of Images, Social Networks and Texts. 8th International Conference AIST 2019.: Springer, 2019. P. 218–229.

Добавлено: 30 октября 2019 г.

L-models and R-models for Lambek calculus enriched with additives and the multiplicative unit

Канович М. И., Кузнецов С. Л., Щедров А., , in: Logic, Language, Information, and Computation: 26th International Workshop, WoLLIC 2019, Utrecht, The Netherlands, July 2-5, 2019, ProceedingsVol. 11541: Lecture Notes in Computer Science.: Berlin, Heidelberg: Springer, 2019. P. 373–391.

Добавлено: 4 сентября 2019 г.

Automatic Mining of Discourse Connectives for Russian

Толдова С. Ю., Pisarevskaya D., Kobozeva M., , in: Artificial Intelligence and Natural Language, 7th International Conference, AINL 2018, St. Petersburg, Russia, October 17–19, 2018, ProceedingsIssue 930.: Switzerland: Springer, 2018. P. 79–87.

Добавлено: 26 октября 2018 г.

Text classification with deep learning neural networks

Voronkov Ilia, Amajd M., Kaimuldenov Z., , in: Actual Problems of System and Software Engineering 2017. Proceedings of the 5th International Conference on Actual Problems of System and Software Engineering Supported by Russian Foundation for Basic Research. Project #17-07-20565 Moscow, Russia, November 14-16, 2017, 408 P.Vol. 1989.: Aachen: CEUR Workshop Proceedings, 2017. P. 362–370.

Добавлено: 16 августа 2018 г.

Rotations and Interpretability of Word Embeddings: The Case of the Russian Language

Зобнин А. И., , in: Analysis of Images, Social Networks and Texts. 6th International Conference, 2017, Revised Selected PapersVol. 10716.: Cham: Springer, 2018. Ch. 11 P. 116–128.

Добавлено: 26 ноября 2017 г.

Extracting social networks from literary text with word embedding tools

Wohlgenannt G., Артемова Е. Л., Ильвовский Д. А., , in: Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH).: Osaka: [б.и.], 2016. Ch. 4 P. 18–26.

Добавлено: 6 марта 2017 г.