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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 50 1 Graphs, Computation, and Language ... Ustalov, Dmitry. - : Zenodo, 2021 BASE Show details 2 Graphs, Computation, and Language ... Ustalov, Dmitry. - : Zenodo, 2021 BASE Show details 3 Word Sense Disambiguation for 158 Languages using Word Embeddings Only ... Logacheva, Varvara; Teslenko, Denis; Shelmanov, Artem. - : arXiv, 2020 BASE Show details 4 Graphs, Computation, and Language ... Ustalov, Dmitry. - : Zenodo, 2020 BASE Show details 5 TextGraphs 2020 Shared Task on Multi-Hop Inference for Explanation Regeneration ... The 28th International Conference on Computational Linguistics 2020; Jansen, Peter; Ustalov, Dmitry. - : Underline Science Inc., 2020 BASE Show details 6 Artificial intelligence and natural language : 8th Conference, AINL 2019, Tartu, Estonia, November 20-22, 2019 : proceedings Ustalov, Dmitry (Herausgeber); Filchenkov, Andrey (Herausgeber); Pivovarova, Lidia (Herausgeber). - Cham, Switzerland : Springer, 2019 BLLDB UB Frankfurt Linguistik Show details 7 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 8 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 9 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 10 Watset: Local-global graph clustering with applications in sense and frame induction Panchenko, Alexander; Biemann, Chris; Ustalov, Dmitry. - : MIT Press, 2019 BASE Show details 11 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 12 RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language ... Panchenko, Alexander; Lopukhina, Anastasiya; Ustalov, Dmitry. - : arXiv, 2018 BASE Show details 13 Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ... Ustalov, Dmitry; Panchenko, Alexander; Biemann, Chris. - : arXiv, 2018 BASE Show details 14 RUSSE: The First Workshop on Russian Semantic Similarity ... Panchenko, Alexander; Loukachevitch, Natalia; Ustalov, Dmitry. - : arXiv, 2018 BASE Show details 15 An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages ... Ustalov, Dmitry; Teslenko, Denis; Panchenko, Alexander. - : arXiv, 2018 BASE Show details 16 RUSSE'2018: Human-Annotated Sense-Disambiguated Word Contexts for Russian ... Ustalov, Dmitry. - : Zenodo, 2018 BASE Show details 17 RUSSE'2018: Human-Annotated Sense-Disambiguated Word Contexts for Russian ... Ustalov, Dmitry. - : Zenodo, 2018 BASE Show details 18 Unsupervised semantic frame induction using triclustering Panchenko, Alexander; Kutuzov, Andrei; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2018 BASE Show details 19 An unsupervised word sense disambiguation system for under-resourced languages Ustalov, Dmitry; Teslenko, Denis; Panchenko, Alexander; Chernoskutov, Mikhail; Biemann, Chris; Ponzetto, Simone Paolo. - : European Language Resources Association, ELRA-ELDA, 2018 Abstract: In this paper, we present Mnogoznal, an unsupervised system for word sense disambiguation. Given a sentence, the system chooses the most relevant sense of each input word with respect to the semantic similarity between the given sentence and the synset constituting the sense of the target word. Mnogoznal has two modes of operation. The sparse mode uses the traditional vector space model to estimate the most similar word sense corresponding to its context. The dense mode, instead, uses synset embeddings to cope with the sparsity problem. We describe the architecture of the present system and also conduct its evaluation on three different lexical semantic resources for Russian. We found that the dense mode substantially outperforms the sparse one on all datasets according to the adjusted Rand index. Keyword: 004 Informatik URL: https://madoc.bib.uni-mannheim.de/43362/ http://www.lrec-conf.org/proceedings/lrec2018/summaries/182.html BASE Hide details 20 RUSSE'2018 : a shared task on word sense induction for the Russian language Panchenko, Alexander; Lopukhina, Anastasiya; Ustalov, Dmitry. - : RSUH, 2018 BASE Show details Page: 1 2 3

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