Using descriptive mark-up to formalize translation quality assessment - Andrey Kutuzov (CoRR, 2008)

Change of word types to word tokens ratio in the course of translation (based on Russian translations of K. Vonnegut novels) - Andrey Kutuzov (CoRR, 2010)

Improving English-Russian sentence alignment through POS tagging and Damerau-Levenshtein distance. - Andrey Kutuzov (BSNLP@ACL, 2013)

Untangling the Semantic Web: Microdata Use in Russian Video Content Delivery Sites. - Andrey Kutuzov; Maxim Ionov (AIST, 2014)

Semantic Clustering of Russian Web Search Results: Possibilities and Problems. - Andrey Kutuzov (RuSSIR, 2014)

Russian Learner Translator Corpus - Design, Research Potential and Applications. - Andrey Kutuzov; Maria Kunilovskaya (TSD, 2014)

Comparing Neural Lexical Models of a Classic National Corpus and a Web Corpus: The Case for Russian. - Andrey Kutuzov; Elizaveta Kuzmenko (CICLing (1), 2015)

Texts in, meaning out: neural language models in semantic similarity task for Russian. - Andrey Kutuzov; Igor Andreev (CoRR, 2015)

WebVectors: A Toolkit for Building Web Interfaces for Vector Semantic Models. - Andrey Kutuzov; Elizaveta Kuzmenko (AIST, 2016)

Redefining part-of-speech classes with distributional semantic models. - Andrey Kutuzov; Erik Velldal; Lilja Øvrelid (CoNLL, 2016)

Cross-Lingual Trends Detection for Named Entities in News Texts with Dynamic Neural Embedding Models. - Andrey Kutuzov; Elizaveta Kuzmenko (NewsIR@ECIR, 2016)

Neural Embedding Language Models in Semantic Clustering of Web Search Results. - Andrey Kutuzov; Elizaveta Kuzmenko (LREC, 2016)

Exploration of register-dependent lexical semantics using word embeddings. - Andrey Kutuzov; Elizaveta Kuzmenko; Anna Marakasova (LT4DH@COLING, 2016)

Clustering Comparable Corpora of Russian and Ukrainian Academic Texts: Word Embeddings and Semantic Fingerprints. - Andrey Kutuzov; Mikhail Kopotev; Tatyana Sviridenko; Lyubov Ivanova (CoRR, 2016)

Clustering of Russian Adjective-Noun Constructions using Word Embeddings. - Andrey Kutuzov; Elizaveta Kuzmenko; Lidia Pivovarova (BSNLP@EACL, 2017)

Tracing armed conflicts with diachronic word embedding models. - Andrey Kutuzov; Erik Velldal; Lilja Øvrelid (NEWS@ACL, 2017)

Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus. - Andrey Kutuzov; Maria Kunilovskaya (AIST, 2017)

Building Web-Interfaces for Vector Semantic Models with the WebVectors Toolkit. - Andrey Kutuzov; Elizaveta Kuzmenko (EACL (Software Demonstrations), 2017)

Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants. - Andrey Kutuzov; Erik Velldal; Lilja Øvrelid (EMNLP, 2017)

Word vectors, reuse, and replicability: Towards a community repository of large-text resources. - Murhaf Fares; Andrey Kutuzov; Stephan Oepen; Erik Velldal (NODALIDA, 2017)

Redefining Context Windows for Word Embedding Models: An Experimental Study. - Pierre Lison; Andrei Kutuzov (NODALIDA, 2017)

Unsupervised Semantic Frame Induction using Triclustering. - Dmitry Ustalov; Alexander Panchenko; Andrei Kutuzov; Chris Biemann; Simone Paolo Ponzetto (ACL (2), 2018)

RusNLP: Semantic Search Engine for Russian NLP Conference Papers. - Irina Nikishina; Amir Bakarov; Andrey Kutuzov (AIST, 2018)

Diachronic word embeddings and semantic shifts: a survey. - Andrey Kutuzov; Lilja Øvrelid; Terrence Szymanski; Erik Velldal (COLING, 2018)

Universal Dependencies-based syntactic features in detecting human translation varieties. - Maria Kunilovskaya; Andrey Kutuzov (TLT, 2018)

Russian word sense induction by clustering averaged word embeddings. - Andrey Kutuzov (CoRR, 2018)

Learning Graph Embeddings from WordNet-based Similarity Measures. - Andrey Kutuzov; Alexander Panchenko; Sarah Kohail; Mohammad Dorgham; Oleksiy Oliynyk; Chris Biemann (CoRR, 2018)

One-to-X Analogical Reasoning on Word Embeddings: a Case for Diachronic Armed Conflict Prediction from News Texts. - Andrey Kutuzov; Erik Velldal; Lilja Øvrelid (LChange@ACL, 2019)

Measuring Diachronic Evolution of Evaluative Adjectives with Word Embeddings: the Case for English, Norwegian, and Russian. - Julia Rodina; Daria Bakshandaeva; Vadim Fomin; Andrey Kutuzov; Samia Touileb; Erik Velldal (LChange@ACL, 2019)

Making Fast Graph-based Algorithms with Graph Metric Embeddings. - Andrey Kutuzov; Mohammad Dorgham; Oleksiy Oliynyk; Chris Biemann; Alexander Panchenko (ACL (1), 2019)

Vec2graph: A Python Library for Visualizing Word Embeddings as Graphs. - Nadezda Katricheva; Alyaxey Yaskevich; Anastasiya Lisitsina; Tamara Zhordaniya; Andrey Kutuzov; Elizaveta Kuzmenko (AIST (Supplement), 2019)

Double-Blind Peer-Reviewing and Inclusiveness in Russian NLP Conferences. - Andrey Kutuzov; Irina Nikishina (AIST, 2019)

ÚFAL-Oslo at MRP 2019: Garage Sale Semantic Parsing. - Kira Droganova; Andrey Kutuzov; Nikita Mediankin; Daniel Zeman (CoNLL Shared Task, 2019)

Learning Graph Embeddings from WordNet-based Similarity Measures. - Andrey Kutuzov; Mohammad Dorgham; Oleksiy Oliynyk; Chris Biemann; Alexander Panchenko (*SEM@NAACL-HLT, 2019)

Tracing cultural diachronic semantic shifts in Russian using word embeddings: test sets and baselines. - Vadim Fomin; Daria Bakshandaeva; Julia Rodina; Andrey Kutuzov (CoRR, 2019)

To lemmatize or not to lemmatize: how word normalisation affects ELMo performance in word sense disambiguation. - Andrey Kutuzov; Elizaveta Kuzmenko (CoRR, 2019)

ELMo and BERT in Semantic Change Detection for Russian. - Julia Rodina; Yuliya Trofimova; Andrey Kutuzov; Ekaterina Artemova (AIST, 2020)

Semantic Recommendation System for Bilingual Corpus of Academic Papers. - Anna Safaryan; Petr Filchenkov; Weijia Yan; Andrey Kutuzov; Irina Nikishina (AIST (Supplement), 2020)

RuSemShift: a dataset of historical lexical semantic change in Russian. - Julia Rodina; Andrey Kutuzov (COLING, 2020)

Word Sense Disambiguation for 158 Languages using Word Embeddings Only. - Varvara Logacheva; Denis Teslenko; Artem Shelmanov; Steffen Remus; Dmitry Ustalov; Andrey Kutuzov; Ekaterina Artemova; Chris Biemann; Simone Paolo Ponzetto; Alexander Panchenko (LREC, 2020)

UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection. - Andrey Kutuzov; Mario Giulianelli (SemEval@COLING, 2020)

Three-part diachronic semantic change dataset for Russian. - Andrey Kutuzov; Lidia Pivovarova (LChange@ACL-IJCNLP, 2021)

Grammatical Profiling for Semantic Change Detection. - Andrey Kutuzov; Lidia Pivovarova; Mario Giulianelli (CoNLL, 2021)

Representing ELMo embeddings as two-dimensional text online. - Andrey Kutuzov; Elizaveta Kuzmenko (EACL (System Demonstrations), 2021)

Large-Scale Contextualised Language Modelling for Norwegian. - Andrey Kutuzov; Jeremy Barnes 001; Erik Velldal; Lilja Øvrelid; Stephan Oepen (NoDaLiDa, 2021)

Multilingual ELMo and the Effects of Corpus Sampling. - Vinit Ravishankar; Andrey Kutuzov; Lilja Øvrelid; Erik Velldal (NoDaLiDa, 2021)

Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Tasks. - Tatyana Iazykova; Denis Kapelyushnik; Olga Bystrova; Andrey Kutuzov (CoRR, 2021)

Do Not Fire the Linguist: Grammatical Profiles Help Language Models Detect Semantic Change. - Mario Giulianelli; Andrey Kutuzov; Lidia Pivovarova (LChange@ACL, 2022)

NorDiaChange: Diachronic Semantic Change Dataset for Norwegian. - Andrey Kutuzov; Samia Touileb; Petter Mæhlum; Tita Ranveig Enstad; Alexandra Wittemann (LREC, 2022)

SemEval 2022 Task 10: Structured Sentiment Analysis. - Jeremy Barnes 001; Laura Oberländer; Enrica Troiano; Andrey Kutuzov; Jan Buchmann; Rodrigo Agerri; Lilja Øvrelid; Erik Velldal (SemEval@NAACL, 2022)

Contextualized language models for semantic change detection: lessons learned. - Andrey Kutuzov; Erik Velldal; Lilja Øvrelid (CoRR, 2022)

RuDSI: graph-based word sense induction dataset for Russian. - Anna Aksenova; Ekaterina Gavrishina; Elisey Rykov; Andrey Kutuzov (CoRR, 2022)

Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis. - Mario Giulianelli; Iris Luden; Raquel Fernández; Andrey Kutuzov (ACL (1), 2023)

Trained on 100 million words and still in shape: BERT meets British National Corpus. - David Samuel; Andrey Kutuzov; Lilja Øvrelid; Erik Velldal (EACL (Findings), 2023)

NorBench - A Benchmark for Norwegian Language Models. - David Samuel; Andrey Kutuzov; Samia Touileb; Erik Velldal; Lilja Øvrelid; Egil Rønningstad; Elina Sigdel; Anna Palatkina (NoDaLiDa, 2023)

Definition generation for lexical semantic change detection. - Mariia Fedorova; Andrey Kutuzov; Yves Scherrer (ACL (Findings), 2024)

A New Massive Multilingual Dataset for High-Performance Language Technologies. - 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; et al. (LREC/COLING, 2024)

Enriching Word Usage Graphs with Cluster Definitions. - Andrey Kutuzov; Mariia Fedorova; Dominik Schlechtweg; Nikolay Arefyev (LREC/COLING, 2024)

Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca. - Pinzhen Chen; Shaoxiong Ji; Nikolay Bogoychev; Andrey Kutuzov; Barry Haddow; Kenneth Heafield (EACL (Findings), 2024)

AXOLOTL'24 Shared Task on Multilingual Explainable Semantic Change Modeling. - Mariia Fedorova; Timothee Mickus; Niko Partanen; Janine Siewert; Elena Spaziani; Andrey Kutuzov (CoRR, 2024)

Small Languages, Big Models: A Study of Continual Training on Languages of Norway. - David Samuel; Vladislav Mikhailov; Erik Velldal; Lilja Øvrelid; Lucas Georges Gabriel Charpentier; Andrey Kutuzov (CoRR, 2024)

The Impact of Copyrighted Material on Large Language Models: A Norwegian Perspective. - Javier de la Rosa 001; Vladislav Mikhailov; Lemei Zhang; Freddy Wetjen; David Samuel; Peng Liu 025; Rolv-Arild Braaten; Petter Mæhlum; Magnus Breder Birkenes; Andrey Kutuzov; Tita Ranveig Enstad; Svein Arne Brygfjeld; et al. (CoRR, 2024)

An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT). - Laurie Burchell; Ona De Gibert Bonet; Nikolay Arefyev; Mikko Aulamo; Marta Bañón; Pinzhen Chen; Mariia Fedorova; Liane Guillou; Barry Haddow; Jan Hajic; Jindrich Helcl; Erik Henriksson; et al. (ACL (1), 2025)

NorEval: A Norwegian Language Understanding and Generation Evaluation Benchmark. - Vladislav Mikhailov; Tita Ranveig Enstad; David Samuel; Hans Christian Farsethås; Andrey Kutuzov; Erik Velldal; Lilja Øvrelid (ACL (Findings), 2025)

An Expanded Massive Multilingual Dataset for High-Performance Language Technologies. - 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; et al. (CoRR, 2025)