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ORCIDAndrey 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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Conference and Workshop Papers
- 2024
[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- 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 - 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 - 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 - 2020
- [c33]Anna Safaryan, Petr Filchenkov, Weijia Yan, Andrey Kutuzov, Irina Nikishina:
Semantic Recommendation System for Bilingual Corpus of Academic Papers. AIST (Supplement) 2020: 22-36 - [c32]Julia Rodina, Yuliya Trofimova, Andrey Kutuzov, Ekaterina Artemova:
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 - 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, Irina Nikishina:
Double-Blind Peer-Reviewing and Inclusiveness in Russian NLP Conferences. AIST 2019: 3-8 - [c24]Nadezda Katricheva, Alyaxey Yaskevich, Anastasiya Lisitsina, Tamara Zhordaniya, Andrey Kutuzov, Elizaveta Kuzmenko:
Vec2graph: A Python Library for Visualizing Word Embeddings as Graphs. AIST (Supplement) 2019: 190-198 - [c23]Kira Droganova, Andrey Kutuzov, Nikita Mediankin, Daniel Zeman:
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 - 2018
- [c21]Dmitry Ustalov, Alexander Panchenko, Andrei Kutuzov, Chris Biemann, Simone Paolo Ponzetto:
Unsupervised Semantic Frame Induction using Triclustering. ACL (2) 2018: 55-62 - [c20]Irina Nikishina, Amir Bakarov, Andrey Kutuzov:
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 - 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, Maria Kunilovskaya:
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, Erik Velldal, Lilja Øvrelid:
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 - 2016
- [c10]Andrey Kutuzov, Elizaveta Kuzmenko:
WebVectors: A Toolkit for Building Web Interfaces for Vector Semantic Models. AIST 2016: 155-161 - [c9]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
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 - 2015
- [c5]Andrey Kutuzov, Elizaveta Kuzmenko:
Comparing Neural Lexical Models of a Classic National Corpus and a Web Corpus: The Case for Russian. CICLing (1) 2015: 47-58 - 2014
- [c4]Andrey Kutuzov, Maxim Ionov:
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, Maria Kunilovskaya:
Russian Learner Translator Corpus - Design, Research Potential and Applications. TSD 2014: 315-323 - 2013
- [c1]Andrey Kutuzov:
Improving English-Russian sentence alignment through POS tagging and Damerau-Levenshtein distance. BSNLP@ACL 2013: 63-68
Editorship
- 2024
- [e8]Dmitry I. Ignatov, Michael Yu. Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko:
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] - 2022
- [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, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina:
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, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina:
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] - 2021
- [e4]Wil M. P. van der Aalst, Vladimir Batagelj, Alexey Buzmakov, Dmitry I. Ignatov, Anna A. Kalenkova, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Ilya Makarov, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
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, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
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] - 2020
- [e2]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Valentina V. Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
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] - 2019
- [e1]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Valentina V. Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
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]
Informal and Other Publications
- 2024
- [i35]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) - [i34]Mariia Fedorova, Andrey Kutuzov, Nikolay Arefyev, Dominik Schlechtweg:
Enriching Word Usage Graphs with Cluster Definitions. CoRR abs/2403.18024 (2024) - 2023
- [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
- [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
- [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
- [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) - 2019
- [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
- [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
- [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
- [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
- [i4]Andrey Kutuzov, Igor Andreev:
Texts in, meaning out: neural language models in semantic similarity task for Russian. CoRR abs/1504.08183 (2015) - 2014
- [i3]Andrey Kutuzov:
Semantic clustering of Russian web search results: possibilities and problems. CoRR abs/1409.1612 (2014) - 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) - 2008
- [i1]Andrey Kutuzov:
Using descriptive mark-up to formalize translation quality assessment. CoRR abs/0809.3250 (2008)
Coauthor Index
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