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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 49 1 Detecting Text Formality: A Study of Text Classification Approaches ... Dementieva, Daryna; Trifinov, Ivan; Likhachev, Andrey. - : arXiv, 2022 BASE Show details 2 Taxonomy Enrichment with Text and Graph Vector Representations ... Nikishina, Irina; Tikhomirov, Mikhail; Logacheva, Varvara; Nazarov, Yuriy; Panchenko, Alexander; Loukachevitch, Natalia. - : arXiv, 2022 Abstract: Knowledge graphs such as DBpedia, Freebase or Wikidata always contain a taxonomic backbone that allows the arrangement and structuring of various concepts in accordance with the hypo-hypernym ("class-subclass") relationship. With the rapid growth of lexical resources for specific domains, the problem of automatic extension of the existing knowledge bases with new words is becoming more and more widespread. In this paper, we address the problem of taxonomy enrichment which aims at adding new words to the existing taxonomy. We present a new method that allows achieving high results on this task with little effort. It uses the resources which exist for the majority of languages, making the method universal. We extend our method by incorporating deep representations of graph structures like node2vec, Poincaré embeddings, GCN etc. that have recently demonstrated promising results on various NLP tasks. Furthermore, combining these representations with word embeddings allows us to beat the state of the art. We ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2201.08598 https://arxiv.org/abs/2201.08598 BASE Hide details 3 Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates ... Shelmanov, Artem; Puzyrev, Dmitri; Kupriyanova, Lyubov. - : arXiv, 2021 BASE Show details 4 Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Cichocki, Andrzej; Panchenko, Alexander. - : Underline Science Inc., 2021 BASE Show details 5 RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language ... Nikishina, Irina; Logacheva, Varvara; Panchenko, Alexander. - : arXiv, 2020 BASE Show details 6 Word Sense Disambiguation for 158 Languages using Word Embeddings Only ... Logacheva, Varvara; Teslenko, Denis; Shelmanov, Artem. - : arXiv, 2020 BASE Show details 7 Studying Taxonomy Enrichment on Diachronic WordNet Versions ... Nikishina, Irina; Panchenko, Alexander; Logacheva, Varvara. - : arXiv, 2020 BASE Show details 8 A Comparative Study of Lexical Substitution Approaches based on Neural Language Models ... Arefyev, Nikolay; Sheludko, Boris; Podolskiy, Alexander. - : arXiv, 2020 BASE Show details 9 Making Fast Graph-based Algorithms with Graph Metric Embeddings ... Kutuzov, Andrey; Dorgham, Mohammad; Oliynyk, Oleksiy. - : arXiv, 2019 BASE Show details 10 On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings ... Jana, Abhik; Puzyrev, Dmitry; Panchenko, Alexander. - : arXiv, 2019 BASE Show details 11 Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings ... Aly, Rami; Acharya, Shantanu; Ossa, Alexander. - : arXiv, 2019 BASE Show details 12 Hypernyms extracted from a large text corpus using Hearst lexical-syntactic patterns ... Panchenko, Alexander. - : Zenodo, 2019 BASE Show details 13 Hypernyms extracted from a large text corpus using Hearst lexical-syntactic patterns ... Panchenko, Alexander. - : Zenodo, 2019 BASE Show details 14 Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ... Ustalov, Dmitry; Panchenko, Alexander; Biemann, Chris. - : Zenodo, 2019 BASE Show details 15 Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ... Ustalov, Dmitry; Panchenko, Alexander; Biemann, Chris. - : Zenodo, 2019 BASE Show details 16 HHMM at SemEval-2019 Task 2: Unsupervised frame induction using contextualized word embeddings Arefyev, Nikolay; Panchenko, Alexander; Anwar, Saba. - : Association for Computational Linguistics, ACL, 2019 BASE Show details 17 Watset: Local-global graph clustering with applications in sense and frame induction Panchenko, Alexander; Biemann, Chris; Ustalov, Dmitry. - : MIT Press, 2019 BASE Show details 18 RUSSE'2018 : a shared task on word sense induction for the Russian language Panchenko, Alexander [Verfasser]; Lopukhina, Anastasiya [Verfasser]; Ustalov, Dmitry [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2018 DNB Subject Category Language Show details 19 RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language ... Panchenko, Alexander; Lopukhina, Anastasiya; Ustalov, Dmitry. - : arXiv, 2018 BASE Show details 20 Sentiment Index of the Russian Speaking Facebook ... Panchenko, Alexander. - : arXiv, 2018 BASE Show details Page: 1 2 3

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