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Nikolay Arefyev
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2020 – today
- 2025
- [i17]Laurie Burchell, Ona de Gibert, Nikolay Arefyev, Mikko Aulamo, Marta Bañón, Pinzhen Chen, Mariia Fedorova, Liane Guillou, Barry Haddow, Jan Hajic, Jindrich Helcl, Erik Henriksson, Mateusz Klimaszewski, Ville Komulainen, Andrey Kutuzov, Joona Kytöniemi, Veronika Laippala, Petter Mæhlum, Bhavitvya Malik, Farrokh Mehryary, Vladislav Mikhailov, Nikita Moghe, Amanda Myntti, Dayyán O'Brien, Stephan Oepen, Proyag Pal, Jousia Piha, Sampo Pyysalo, Gema Ramírez-Sánchez, David Samuel, Pavel Stepachev, Jörg Tiedemann, Dusan Varis, Tereza Vojtechová, Jaume Zaragoza-Bernabeu:
An Expanded Massive Multilingual Dataset for High-Performance Language Technologies. CoRR abs/2503.10267 (2025) - 2024
- [j1]Saba Anwar
, Artem Shelmanov, Nikolay Arefyev, Alexander Panchenko, Chris Biemann:
Text augmentation for semantic frame induction and parsing. Lang. Resour. Evaluation 58(2): 363-408 (2024) - [c26]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 - [c25]Andrey Kutuzov, Mariia Fedorova
Enriching Word Usage Graphs with Cluster Definitions. LREC/COLING 2024: 6189-6198 - [c24]Denis Kokosinskii, Nikolay Arefyev:
Multilingual Substitution-based Word Sense Induction. LREC/COLING 2024: 11859-11872 - [c23]Nikolay Arefyev, Mikko Aulamo, Pinzhen Chen, Ona De Gibert Bonet, Barry Haddow, Jindrich Helcl, Bhavitvya Malik, Gema Ramírez-Sánchez, Pavel Stepachev, Jörg Tiedemann, Dusan Varis, Jaume Zaragoza-Bernabeu:
HPLT's First Release of Data and Models. EAMT (2) 2024: 53-54 - [i16]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) - [i15]Mariia Fedorova, Andrey Kutuzov, Nikolay Arefyev, Dominik Schlechtweg:
Enriching Word Usage Graphs with Cluster Definitions. CoRR abs/2403.18024 (2024) - [i14]Dominik Schlechtweg, Shafqat Mumtaz Virk, Nikolay Arefyev:
The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks. CoRR abs/2404.00176 (2024) - [i13]Denis Kokosinskii, Nikolay Arefyev:
Multilingual Substitution-based Word Sense Induction. CoRR abs/2405.11086 (2024) - [i12]Denis Kokosinskii, Mikhail Kuklin, Nikolay Arefyev:
Deep-change at AXOLOTL-24: Orchestrating WSD and WSI Models for Semantic Change Modeling. CoRR abs/2408.05184 (2024) - 2022
- [c22]Bingyu Zhang, Nikolay Arefyev:
The Document Vectors Using Cosine Similarity Revisited. Insights@ACL 2022: 129-133 - [c21]Artem Kudisov, Nikolay Arefyev:
BOS at LSCDiscovery: Lexical Substitution for Interpretable Lexical Semantic Change Detection. LChange@ACL 2022: 165-172 - [c20]Daniil Homskiy, Nikolay Arefyev:
DeepMistake at LSCDiscovery: Can a Multilingual Word-in-Context Model Replace Human Annotators? LChange@ACL 2022: 173-179 - [c19]Maxim Rachinskiy, Nikolay Arefyev:
GlossReader at LSCDiscovery: Train to Select a Proper Gloss in English - Discover Lexical Semantic Change in Spanish. LChange@ACL 2022: 198-203 - [i11]Bingyu Zhang, Nikolay Arefyev:
The Document Vectors Using Cosine Similarity Revisited. CoRR abs/2205.13357 (2022) - [i10]Nikolay Arefyev, Boris Sheludko, Alexander Podolskiy, Alexander Panchenko:
Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution. CoRR abs/2206.11815 (2022) - [i9]Artem Kudisov, Nikolay Arefyev:
BOS at LSCDiscovery: Lexical Substitution for Interpretable Lexical Semantic Change Detection. CoRR abs/2206.11865 (2022) - 2021
- [c18]Nikolay Arefyev, Dmitry Kharchev, Artem Shelmanov:
NB-MLM: Efficient Domain Adaptation of Masked Language Models for Sentiment Analysis. EMNLP (1) 2021: 9114-9124 - [c17]Anton Razzhigaev, Nikolay Arefyev, Alexander Panchenko:
SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task. SemEval@ACL/IJCNLP 2021: 157-162 - [c16]Maxim Rachinskiy, Nikolay Arefyev:
GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings. SemEval@ACL/IJCNLP 2021: 756-762 - [c15]Adis Davletov, Nikolay Arefyev, Denis Gordeev, Alexey Rey:
LIORI at SemEval-2021 Task 2: Span Prediction and Binary Classification approaches to Word-in-Context Disambiguation. SemEval@ACL/IJCNLP 2021: 780-786 - [c14]Adis Davletov, Denis Gordeev, Nikolay Arefyev, Emil T. Davletov:
LIORI at SemEval-2021 Task 8: Ask Transformer for measurements. SemEval@ACL/IJCNLP 2021: 1249-1254 - 2020
- [c13]Nikolay Arefyev, Boris Sheludko, Alexander Podolskiy
Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution. COLING 2020: 1242-1255 - [c12]Aleksandr Khakhmovich, Svetlana Pavlova, Kira Kirillova, Nikolay Arefyev, Ekaterina Savilova:
Cross-lingual Named Entity List Search via Transliteration. LREC 2020: 4247-4255 - [c11]Nikolay Arefyev, Vasily Zhikov:
BOS at SemEval-2020 Task 1: Word Sense Induction via Lexical Substitution for Lexical Semantic Change Detection. SemEval@COLING 2020: 171-179 - [c10]Adis Davletov, Nikolay Arefyev, Alexander Shatilov, Denis Gordeev, Alexey Rey:
Gorynych Transformer at SemEval-2020 Task 6: Multi-task Learning for Definition Extraction. SemEval@COLING 2020: 487-493 - [i8]Nikolay Arefyev, Boris Sheludko, Alexander Podolskiy, Alexander Panchenko:
A Comparative Study of Lexical Substitution Approaches based on Neural Language Models. CoRR abs/2006.00031 (2020) - [i7]Nikolay Arefyev, Boris Sheludko, Tatiana Aleksashina:
Combining Neural Language Models for WordSense Induction. CoRR abs/2006.13200 (2020)
2010 – 2019
- 2019
- [c9]Nikolay Arefyev, Boris Sheludko, Tatiana Aleksashina:
Combining Neural Language Models for Word Sense Induction. AIST 2019: 105-121 - [c8]Nikolay Arefyev, Boris Sheludko, Alexander Panchenko
Combining Lexical Substitutes in Neural Word Sense Induction. RANLP 2019: 62-70 - [c7]Nikolay Arefyev, Boris Sheludko, Adis Davletov, Dmitry Kharchev, Alex Nevidomsky, Alexander Panchenko:
Neural GRANNy at SemEval-2019 Task 2: A combined approach for better modeling of semantic relationships in semantic frame induction. SemEval@NAACL-HLT 2019: 31-38 - [c6]Saba Anwar, Dmitry Ustalov, Nikolay Arefyev, Simone Paolo Ponzetto, Chris Biemann, Alexander Panchenko:
HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings. SemEval@NAACL-HLT 2019: 125-129 - [i6]Saba Anwar, Dmitry Ustalov, Nikolay Arefyev, Simone Paolo Ponzetto, Chris Biemann, Alexander Panchenko:
HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings. CoRR abs/1905.01739 (2019) - 2018
- [c5]Oleg Struyanskiy, Nikolay Arefyev:
Neural Networks with Attention for Word Sense Induction. AIST (Supplement) 2018: 208-213 - [i5]Alexander Panchenko, Anastasiya Lopukhina, Dmitry Ustalov, Konstantin Lopukhin, Nikolay Arefyev, Alexey Leontyev, Natalia V. Loukachevitch:
RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language. CoRR abs/1803.05795 (2018) - [i4]Nikolay Arefyev, Pavel Ermolaev, Alexander Panchenko:
How much does a word weigh? Weighting word embeddings for word sense induction. CoRR abs/1805.09209 (2018) - 2017
- [c4]Nikolay Arefyev, Pavel Ermolaev:
Baselines and Symbol N-Grams: Simple Part-Of-Speech Tagging of Russian. AIST (Supplement) 2017: 9-19 - [c3]Dmitry Ustalov, Nikolay Arefyev, Chris Biemann, Alexander Panchenko:
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning. EACL (2) 2017: 543-550 - [d1]Dmitry Ustalov
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning. Zenodo, 2017 - [i3]Dmitry Ustalov, Nikolay Arefyev, Chris Biemann, Alexander Panchenko:
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning. CoRR abs/1707.03903 (2017) - [i2]Maria Pelevina, Nikolay Arefyev, Chris Biemann, Alexander Panchenko:
Making Sense of Word Embeddings. CoRR abs/1708.03390 (2017) - [i1]Alexander Panchenko, Dmitry Ustalov, Nikolay Arefyev, Denis Paperno, Natalia Konstantinova, Natalia V. Loukachevitch, Chris Biemann:
Human and Machine Judgements for Russian Semantic Relatedness. CoRR abs/1708.09702 (2017) - 2016
- [c2]Alexander Panchenko
Human and Machine Judgements for Russian Semantic Relatedness. AIST 2016: 221-235 - [c1]Maria Pelevina, Nikolay Arefiev, Chris Biemann, Alexander Panchenko:
Making Sense of Word Embeddings. Rep4NLP@ACL 2016: 174-183
Coauthor Index
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last updated on 2025-04-27 18:03 CEST by the dblp team
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