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Andrey Kutuzov
Andrei Kutuzov
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- affiliation: University of Oslo, Norway
- affiliation: National Research University Higher School of Economics, Moscow, Russia
- affiliation: Tyumen State University, Russia
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2020 – today
- 2024
- [c48]Mariia Fedorova, Andrey Kutuzov, Yves Scherrer:
Definition generation for lexical semantic change detection. ACL (Findings) 2024: 5712-5724 - [c47]Ona de Gibert, Graeme Nail, Nikolay Arefyev, Marta Bañón, Jelmer van der Linde, Shaoxiong Ji, Jaume Zaragoza-Bernabeu, Mikko Aulamo, Gema Ramírez-Sánchez, Andrey Kutuzov, Sampo Pyysalo, Stephan Oepen, Jörg Tiedemann:
A New Massive Multilingual Dataset for High-Performance Language Technologies. LREC/COLING 2024: 1116-1128 - [c46]Andrey Kutuzov, Mariia Fedorova
, Dominik Schlechtweg, Nikolay Arefyev:
Enriching Word Usage Graphs with Cluster Definitions. LREC/COLING 2024: 6189-6198 - [c45]Pinzhen Chen, Shaoxiong Ji, Nikolay Bogoychev, Andrey Kutuzov, Barry Haddow, Kenneth Heafield:
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca. EACL (Findings) 2024: 1347-1356 - [e9]Dmitry I. Ignatov
Recent Trends in Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, Revised Selected Papers. Communications in Computer and Information Science 1905, Springer 2024, ISBN 978-3-031-67007-7 [contents] - [e8]Dmitry I. Ignatov
Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14486, Springer 2024, ISBN 978-3-031-54533-7 [contents] - [i37]Ona de Gibert, Graeme Nail, Nikolay Arefyev, Marta Bañón, Jelmer van der Linde, Shaoxiong Ji, Jaume Zaragoza-Bernabeu, Mikko Aulamo, Gema Ramírez-Sánchez, Andrey Kutuzov, Sampo Pyysalo, Stephan Oepen, Jörg Tiedemann:
A New Massive Multilingual Dataset for High-Performance Language Technologies. CoRR abs/2403.14009 (2024) - [i36]Mariia Fedorova, Andrey Kutuzov, Nikolay Arefyev, Dominik Schlechtweg:
Enriching Word Usage Graphs with Cluster Definitions. CoRR abs/2403.18024 (2024) - [i35]Mariia Fedorova, Andrey Kutuzov, Yves Scherrer:
Definition generation for lexical semantic change detection. CoRR abs/2406.14167 (2024) - [i34]Mariia Fedorova, Timothee Mickus, Niko Partanen, Janine Siewert, Elena Spaziani, Andrey Kutuzov:
AXOLOTL'24 Shared Task on Multilingual Explainable Semantic Change Modeling. CoRR abs/2407.04079 (2024) - 2023
- [c44]Mario Giulianelli, Iris Luden, Raquel Fernández, Andrey Kutuzov:
Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis. ACL (1) 2023: 3130-3148 - [c43]David Samuel, Andrey Kutuzov, Lilja Øvrelid, Erik Velldal:
Trained on 100 million words and still in shape: BERT meets British National Corpus. EACL (Findings) 2023: 1909-1929 - [c42]David Samuel, Andrey Kutuzov, Samia Touileb, Erik Velldal, Lilja Øvrelid, Egil Rønningstad, Elina Sigdel, Anna Palatkina:
NorBench - A Benchmark for Norwegian Language Models. NoDaLiDa 2023: 618-633 - [i33]David Samuel, Andrey Kutuzov, Lilja Øvrelid, Erik Velldal:
Trained on 100 million words and still in shape: BERT meets British National Corpus. CoRR abs/2303.09859 (2023) - [i32]David Samuel, Andrey Kutuzov, Samia Touileb, Erik Velldal, Lilja Øvrelid, Egil Rønningstad, Elina Sigdel, Anna Palatkina:
NorBench - A Benchmark for Norwegian Language Models. CoRR abs/2305.03880 (2023) - [i31]Mario Giulianelli, Iris Luden, Raquel Fernández, Andrey Kutuzov:
Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis. CoRR abs/2305.11993 (2023) - 2022
- [c41]Mario Giulianelli, Andrey Kutuzov, Lidia Pivovarova
Do Not Fire the Linguist: Grammatical Profiles Help Language Models Detect Semantic Change. LChange@ACL 2022: 54-67 - [c40]Andrey Kutuzov, Samia Touileb, Petter Mæhlum, Tita Ranveig Enstad, Alexandra Wittemann:
NorDiaChange: Diachronic Semantic Change Dataset for Norwegian. LREC 2022: 2563-2572 - [c39]Jeremy Barnes, Laura Oberländer, Enrica Troiano, Andrey Kutuzov, Jan Buchmann, Rodrigo Agerri, Lilja Øvrelid, Erik Velldal:
SemEval 2022 Task 10: Structured Sentiment Analysis. SemEval@NAACL 2022: 1280-1295 - [e7]Nina Tahmasebi, Syrielle Montariol, Andrey Kutuzov, Simon Hengchen, Haim Dubossarsky, Lars Borin:
Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, LChange@ACL 2022, Dublin, Ireland, May 26-27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-42-1 [contents] - [e6]Evgeny Burnaev
Recent Trends in Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Supplementary Proceedings. Communications in Computer and Information Science 1573, Springer 2022, ISBN 978-3-031-15167-5 [contents] - [e5]Evgeny Burnaev
Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13217, Springer 2022, ISBN 978-3-031-16499-6 [contents] - [i30]Andrey Kutuzov, Samia Touileb, Petter Mæhlum, Tita Ranveig Enstad, Alexandra Wittemann:
NorDiaChange: Diachronic Semantic Change Dataset for Norwegian. CoRR abs/2201.05123 (2022) - [i29]Mario Giulianelli, Andrey Kutuzov, Lidia Pivovarova:
Do Not Fire the Linguist: Grammatical Profiles Help Language Models Detect Semantic Change. CoRR abs/2204.05717 (2022) - [i28]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Contextualized language models for semantic change detection: lessons learned. CoRR abs/2209.00154 (2022) - [i27]Anna Aksenova, Ekaterina Gavrishina, Elisey Rykov, Andrey Kutuzov:
RuDSI: graph-based word sense induction dataset for Russian. CoRR abs/2209.13750 (2022) - 2021
- [c38]Andrey Kutuzov, Lidia Pivovarova
Three-part diachronic semantic change dataset for Russian. LChange@ACL-IJCNLP 2021: 7-13 - [c37]Andrey Kutuzov, Lidia Pivovarova, Mario Giulianelli:
Grammatical Profiling for Semantic Change Detection. CoNLL 2021: 423-434 - [c36]Andrey Kutuzov, Elizaveta Kuzmenko:
Representing ELMo embeddings as two-dimensional text online. EACL (System Demonstrations) 2021: 143-148 - [c35]Andrey Kutuzov, Jeremy Barnes, Erik Velldal, Lilja Øvrelid, Stephan Oepen:
Large-Scale Contextualised Language Modelling for Norwegian. NoDaLiDa 2021: 30-40 - [c34]Vinit Ravishankar, Andrey Kutuzov, Lilja Øvrelid, Erik Velldal:
Multilingual ELMo and the Effects of Corpus Sampling. NoDaLiDa 2021: 378-384 - [e4]Wil M. P. van der Aalst
Recent Trends in Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020 Revised Supplementary Proceedings. Communications in Computer and Information Science 1357, Springer 2021, ISBN 978-3-030-71213-6 [contents] - [e3]Wil M. P. van der Aalst
Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12602, Springer 2021, ISBN 978-3-030-72609-6 [contents] - [i26]Andrey Kutuzov, Elizaveta Kuzmenko:
Representing ELMo embeddings as two-dimensional text online. CoRR abs/2103.16414 (2021) - [i25]Andrey Kutuzov, Jeremy Barnes, Erik Velldal, Lilja Øvrelid, Stephan Oepen:
Large-Scale Contextualised Language Modelling for Norwegian. CoRR abs/2104.06546 (2021) - [i24]Tatyana Iazykova, Denis Kapelyushnik, Olga Bystrova, Andrey Kutuzov:
Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Tasks. CoRR abs/2105.01192 (2021) - [i23]Andrey Kutuzov, Lidia Pivovarova:
Three-part diachronic semantic change dataset for Russian. CoRR abs/2106.08294 (2021) - [i22]Mario Giulianelli, Andrey Kutuzov, Lidia Pivovarova:
Grammatical Profiling for Semantic Change Detection. CoRR abs/2109.10397 (2021) - 2020
- [c33]Anna Safaryan
Semantic Recommendation System for Bilingual Corpus of Academic Papers. AIST (Supplement) 2020: 22-36 - [c32]Julia Rodina
ELMo and BERT in Semantic Change Detection for Russian. AIST 2020: 175-186 - [c31]Julia Rodina, Andrey Kutuzov:
RuSemShift: a dataset of historical lexical semantic change in Russian. COLING 2020: 1037-1047 - [c30]Varvara Logacheva, Denis Teslenko, Artem Shelmanov, Steffen Remus, Dmitry Ustalov, Andrey Kutuzov, Ekaterina Artemova, Chris Biemann, Simone Paolo Ponzetto, Alexander Panchenko:
Word Sense Disambiguation for 158 Languages using Word Embeddings Only. LREC 2020: 5943-5952 - [c29]Andrey Kutuzov, Mario Giulianelli:
UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection. SemEval@COLING 2020: 126-134 - [e2]Wil M. P. van der Aalst
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Communications in Computer and Information Science 1086, Springer 2020, ISBN 978-3-030-39574-2 [contents] - [i21]Varvara Logacheva, Denis Teslenko, Artem Shelmanov, Steffen Remus, Dmitry Ustalov, Andrey Kutuzov, Ekaterina Artemova, Chris Biemann, Simone Paolo Ponzetto, Alexander Panchenko:
Word Sense Disambiguation for 158 Languages using Word Embeddings Only. CoRR abs/2003.06651 (2020) - [i20]Andrey Kutuzov, Mario Giulianelli:
UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection. CoRR abs/2005.00050 (2020) - [i19]Julia Rodina, Yuliya Trofimova, Andrey Kutuzov, Ekaterina Artemova:
ELMo and BERT in semantic change detection for Russian. CoRR abs/2010.03481 (2020) - [i18]Julia Rodina, Andrey Kutuzov:
RuSemShift: a dataset of historical lexical semantic change in Russian. CoRR abs/2010.06436 (2020)
2010 – 2019
- 2019
- [c28]Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko:
Making Fast Graph-based Algorithms with Graph Metric Embeddings. ACL (1) 2019: 3349-3355 - [c27]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
One-to-X Analogical Reasoning on Word Embeddings: a Case for Diachronic Armed Conflict Prediction from News Texts. LChange@ACL 2019: 196-201 - [c26]Julia Rodina, Daria Bakshandaeva, Vadim Fomin, Andrey Kutuzov, Samia Touileb, Erik Velldal:
Measuring Diachronic Evolution of Evaluative Adjectives with Word Embeddings: the Case for English, Norwegian, and Russian. LChange@ACL 2019: 202-209 - [c25]Andrey Kutuzov
Double-Blind Peer-Reviewing and Inclusiveness in Russian NLP Conferences. AIST 2019: 3-8 - [c24]Nadezda Katricheva
Vec2graph: A Python Library for Visualizing Word Embeddings as Graphs. AIST (Supplement) 2019: 190-198 - [c23]Kira Droganova, Andrey Kutuzov
ÚFAL-Oslo at MRP 2019: Garage Sale Semantic Parsing. CoNLL Shared Task 2019: 158-165 - [c22]Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko:
Learning Graph Embeddings from WordNet-based Similarity Measures. *SEM@NAACL-HLT 2019: 125-135 - [e1]Wil M. P. van der Aalst
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11832, Springer 2019, ISBN 978-3-030-37333-7 [contents] - [i17]Vadim Fomin, Daria Bakshandaeva, Julia Rodina, Andrey Kutuzov:
Tracing cultural diachronic semantic shifts in Russian using word embeddings: test sets and baselines. CoRR abs/1905.06837 (2019) - [i16]Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko:
Making Fast Graph-based Algorithms with Graph Metric Embeddings. CoRR abs/1906.07040 (2019) - [i15]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
One-to-X analogical reasoning on word embeddings: a case for diachronic armed conflict prediction from news texts. CoRR abs/1907.12674 (2019) - [i14]Andrey Kutuzov, Elizaveta Kuzmenko:
To lemmatize or not to lemmatize: how word normalisation affects ELMo performance in word sense disambiguation. CoRR abs/1909.03135 (2019) - 2018
- [c21]Dmitry Ustalov, Alexander Panchenko, Andrei Kutuzov
Unsupervised Semantic Frame Induction using Triclustering. ACL (2) 2018: 55-62 - [c20]Irina Nikishina
RusNLP: Semantic Search Engine for Russian NLP Conference Papers. AIST 2018: 111-120 - [c19]Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, Erik Velldal:
Diachronic word embeddings and semantic shifts: a survey. COLING 2018: 1384-1397 - [c18]Maria Kunilovskaya, Andrey Kutuzov:
Universal Dependencies-based syntactic features in detecting human translation varieties. TLT 2018: 27-36 - [i13]Andrey Kutuzov, Maria Kunilovskaya:
Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus. CoRR abs/1801.06407 (2018) - [i12]Andrey Kutuzov:
Russian word sense induction by clustering averaged word embeddings. CoRR abs/1805.02258 (2018) - [i11]Dmitry Ustalov, Alexander Panchenko, Andrei Kutuzov, Chris Biemann, Simone Paolo Ponzetto:
Unsupervised Semantic Frame Induction using Triclustering. CoRR abs/1805.04715 (2018) - [i10]Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, Erik Velldal:
Diachronic word embeddings and semantic shifts: a survey. CoRR abs/1806.03537 (2018) - [i9]Andrey Kutuzov, Alexander Panchenko, Sarah Kohail, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann:
Learning Graph Embeddings from WordNet-based Similarity Measures. CoRR abs/1808.05611 (2018) - 2017
- [c17]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Tracing armed conflicts with diachronic word embedding models. NEWS@ACL 2017: 31-36 - [c16]Andrey Kutuzov, Elizaveta Kuzmenko, Lidia Pivovarova
Clustering of Russian Adjective-Noun Constructions using Word Embeddings. BSNLP@EACL 2017: 3-13 - [c15]Andrey Kutuzov
Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus. AIST 2017: 47-58 - [c14]Andrey Kutuzov, Elizaveta Kuzmenko:
Building Web-Interfaces for Vector Semantic Models with the WebVectors Toolkit. EACL (Software Demonstrations) 2017: 99-103 - [c13]Andrey Kutuzov
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants. EMNLP 2017: 1824-1829 - [c12]Murhaf Fares, Andrey Kutuzov, Stephan Oepen, Erik Velldal:
Word vectors, reuse, and replicability: Towards a community repository of large-text resources. NODALIDA 2017: 271-276 - [c11]Pierre Lison, Andrei Kutuzov:
Redefining Context Windows for Word Embedding Models: An Experimental Study. NODALIDA 2017: 284-288 - [i8]Pierre Lison, Andrei Kutuzov:
Redefining Context Windows for Word Embedding Models: An Experimental Study. CoRR abs/1704.05781 (2017) - [i7]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants. CoRR abs/1707.08660 (2017) - 2016
- [c10]Andrey Kutuzov
WebVectors: A Toolkit for Building Web Interfaces for Vector Semantic Models. AIST 2016: 155-161 - [c9]Andrey Kutuzov
Redefining part-of-speech classes with distributional semantic models. CoNLL 2016: 115-125 - [c8]Andrey Kutuzov, Elizaveta Kuzmenko:
Cross-Lingual Trends Detection for Named Entities in News Texts with Dynamic Neural Embedding Models. NewsIR@ECIR 2016: 27-32 - [c7]Andrey Kutuzov, Elizaveta Kuzmenko:
Neural Embedding Language Models in Semantic Clustering of Web Search Results. LREC 2016 - [c6]Andrey Kutuzov, Elizaveta Kuzmenko, Anna Marakasova:
Exploration of register-dependent lexical semantics using word embeddings. LT4DH@COLING 2016: 26-34 - [i6]Andrey Kutuzov, Mikhail Kopotev, Tatyana Sviridenko, Lyubov Ivanova:
Clustering Comparable Corpora of Russian and Ukrainian Academic Texts: Word Embeddings and Semantic Fingerprints. CoRR abs/1604.05372 (2016) - [i5]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Redefining part-of-speech classes with distributional semantic models. CoRR abs/1608.03803 (2016) - 2015
- [c5]Andrey Kutuzov
Comparing Neural Lexical Models of a Classic National Corpus and a Web Corpus: The Case for Russian. CICLing (1) 2015: 47-58 - [i4]Andrey Kutuzov, Igor Andreev:
Texts in, meaning out: neural language models in semantic similarity task for Russian. CoRR abs/1504.08183 (2015) - 2014
- [c4]Andrey Kutuzov
Untangling the Semantic Web: Microdata Use in Russian Video Content Delivery Sites. AIST 2014: 274-279 - [c3]Andrey Kutuzov
Semantic Clustering of Russian Web Search Results: Possibilities and Problems. RuSSIR 2014: 320-331 - [c2]Andrey Kutuzov
Russian Learner Translator Corpus - Design, Research Potential and Applications. TSD 2014: 315-323 - [i3]Andrey Kutuzov:
Semantic clustering of Russian web search results: possibilities and problems. CoRR abs/1409.1612 (2014) - 2013
- [c1]Andrey Kutuzov:
Improving English-Russian sentence alignment through POS tagging and Damerau-Levenshtein distance. BSNLP@ACL 2013: 63-68 - 2010
- [i2]Andrey Kutuzov:
Change of word types to word tokens ratio in the course of translation (based on Russian translations of K. Vonnegut novels). CoRR abs/1003.0337 (2010)
2000 – 2009
- 2008
- [i1]Andrey Kutuzov:
Using descriptive mark-up to formalize translation quality assessment. CoRR abs/0809.3250 (2008)
Coauthor Index
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