Publications

This page contains publications of the group members with Skoltech affiliation.

Edited volumes

Panchenko, A., Malliaros, F. D., Logacheva, V., Jana, A., Ustalov, D., & Jansen, P. (2021). Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15). In Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15). Association for Computational Linguistics (ACL).
Shalom, O. S., Panchenko, A., dos Santos, C., Logacheva, V., Moschitti, A., & Dagan, I. (2020). Proceedings of Knowledgeable NLP: the First Workshop on Integrating Structured Knowledge and Neural Networks for NLP. In Proceedings of Knowledgeable NLP: the First Workshop on Integrating Structured Knowledge and Neural Networks for NLP. Association for Computational Linguistics (ACL).
Ustalov, D., Somasundaran, S., Panchenko, A., Malliaros, F. D., Hulpuș, I., Jansen, P., & Jana, A. (2020). Proceedings of the Graph-based Methods for Natural Language Processing (TextGraphs-14). Association for Computational Linguistics (ACL).
van der Aalst, W.M.P., Batagelj, V., Panchenko, A., Ignatov, D.I., Khachay, M., Kuznetsov, S.O., Koltsova O., Lomazova, I.A., Loukachevitch, N., Napoli, A., Panchenko, A., Pardalos, Pelillo, M., Savchenko, A.V. (Eds.) (2020): The 9th International Conference on Analysis of Images, Social Networks and Texts(AIST’2020), Moscow, Russia, October 15–16, 2018, Revised Selected Papers. Springer Lecture Notes in Computer Science (LNCS). Springer
van der Aalst, W.M.P., Batagelj, V., Buzmakov, A., Ignatov, D.I., Kalenkova, A., Khachay, M., Koltsova, O., Kutuzov, A., Kuznetsov, S.O., Lomazova, I.A., Loukachevitch, N., Makarov, I., Napoli, A., Panchenko, A., Pardalos, P.M., Pelillo, M., Savchenko, A.V., Tutubalina, E. (Eds.)(2020): 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 (CCIS). Springer International Publishing

Journal articles

Sevgili, O., Shelmanov, A., Arkhipov, M., Panchenko, A., and Biemann, C. (2022): Neural Entity Linking: A Survey of Models Based on Deep Learning. In Semantic Web journal. IOS Press.
Nikishina, I., Tikhomirov, M., Logacheva, V., Nazarov, Y., Panchenko, A., and Loukachevitch, N. (2022): Taxonomy Enrichment with Text and Graph Vector Representations. In Semantic Web journal. IOS Press.
Dementieva, D.; Moskovskiy, D.; Logacheva, V.; Dale, D.; Kozlova, O.; Semenov, N.; Panchenko, A. (2021): Methods for Detoxification of Texts for the Russian Language. Multimodal Technologies and Interaction, 5, 54.
Burtsev, M., & Logacheva, V. (2020). Conversational Intelligence Challenge: Accelerating Research with Crowd Science and Open Source. AI Magazine, 41(3), 18-27.
Bondarenko, A., Panchenko, A., Beloucif, M., Biemann, C., and Hagen, M. (2020): Answering Comparative Questions with Arguments. Datenbank Spektrum (2020). Springer.
Ustalov, D., Panchenko., A., Biemann., C., Ponzetto. S. (2019): Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction. Computational Linguistics. MIT Press.

Conference proceedings

Dale, D., Voronov, A., Dementieva, D., Logacheva, V., Kozlova, O., Semenov, N. and Panchenko, A. (2021): Text Detoxification using Large Pre-trained Neural Models. In Proceedings of 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP-2021). Punta Cana, Dominican Republic.
Vorona, I., Phan, A.-H., Panchenko, A., Cichocki, A. (2021): Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group Constraint. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics. Bangkok, Thailand (Online)
Dementieva, D. and Panchenko, A. (2021): Cross-lingual Evidence Improves Monolingual Fake News Detection. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP): Student Research Workshop. Association for Computational Linguistics. Bangkok, Thailand (Online)
Dementieva, D., Moskovskiy, D., Logacheva, V., Dale, D., Kozlova, O., Semenov, N., and Panchenko, A. (2021): Methods for Detoxification of Texts for the Russian Language. Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2021”. Moscow, Russia (Online)
Bondarenko, A., Gienapp, L., Fröbe, M., Beloucif, M., Ajjour,Y., Panchenko, A., Biemann,C., Stein, B., Wachsmuth, H., Potthast, M., Hagen, M. (2021): Overview of Touché 2021: Argument Retrieval. Extended Abstract. Proceedings of ECIR 2021, Lucca, Italy (Online)
Chekalina, V., Bondarenko, A., Biemann, C., Beloucif, M., Logacheva, V., Panchenko, A. (2021): Which is better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language. The 2021 Conference of the European Chapter of the Association for Computational Linguistics – System Demonstrations. Kyiv, Ukraine (Online)
Shelmanov, A., Puzyrev, D., Kupriyanova, L., Belyakov, D., Larionov, D., Khromov, N., Kozlova, O., Artemova, E. Dylov, D. V., and Panchenko A. (2021): Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. In Proceeding of the 16th conference of the European Chapter of the Association for Computational Linguistics (EACL). Kiev, Ukraine (online).
Shelmanov, A., Tsymbalov, E., Puzyrev, D., Fedyanin, K., Panchenko, A., Panov, M. (2021): How Certain is Your Transformer? In Proceeding of the 16th conference of the European Chapter of the Association for Computational Linguistics (EACL). Kiev, Ukraine (online).
Nikishina, I., Logacheva, V., Loukachevitch N., and Panchenko, A. (2021): Exploring Graph-based Representations for Taxonomy Enrichment. In Proceedings of the Global WordNet Conference. Pretoria, South Africa
Arefyev, N., Sheludko, B., Podolskiy, A., and Panchenko A. (2020): Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution. In Proceedings of the 28th International Conference on Computational Linguistics (COLING-2020). Barcelona, Spain.
Nikishina, I., Logacheva, V., Panchenko, A., and Loukachevitch N. (2020): Studying Taxonomy Enrichment on Diachronic WordNet Versions. In Proceedings of the 28th International Conference on Computational Linguistics (COLING-2020). Barcelona, Spain.
Malykh, V. and Logacheva, V. (2020): Chinese-Russian Shared Task on Multi-domain Translation. In Proceedings of the 9-th Conference on Artificial Intelligence and Natural Language (AINL-2020). Springer International Publishing. Cham. pp 196-202. Helsinki, Finland.
Chistova, E., Shelmanov, A., Pisarevskaya, D., Kobozeva, M., Toldova, S., Panchenko, A., and Smirnov I. (2020): RST Discourse Parser for Russian: Experimental Study of Deep Learning Models. In Proceedings of the 9-th International Conference on Analysis of Images, Social Networks, and Texts (AIST-2020). Springer Lecture Notes in Computer Science (LNCS). Moscow, Russia.
Safaryan, A., Filchenkov, P., Yan, W., Kutuzov, A., and Nikishina, I. (2020): Semantic Recommendation System for Bilingual Corpus of Academic Papers. In Proceedings of the 9-th International Conference on Analysis of Images, Social Networks, and Texts (AIST-2020). Springer Communications in Information and Computer Science (CCIS). Moscow, Russia.
Dementieva D. and Panchenko A. (2020): Fake News Detection using Multilingual Evidence. The 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA-2020). Sydney, Australia
Logacheva, V., Teslenko, D., Shelmanov, A., Remus, S., Ustalov, D., Kutuzov, A., Artemova, E., Biemann, C., Ponzetto, S.P., Panchenko, A. (2020): Word Sense Disambiguation for 158 Languages using Word Embeddings Only. Proceedings of the International Conference on Language Resources and Evaluation (LREC 2020), Marseille, France
Nikishina, I., Logacheva, V., Panchenko, A., and Loukashevich N. (2020): RUSSE-2020: Findings of the First Taxonomy Enrichment Task for the Russian Language. In Proceedings of the 26th International Conference on Computational Linguistics and Intellectual Technologies (Dialogue’2020). Moscow, Russia. RGGU
Anwar, S., Shelmanov, A., Panchenko, A. and Biemann C. (2020): Generating Lexical Representations of Frames using Lexical Substitution. Proceedings of the International Conference on Probability and Meaning (PaM ) 2020, Gothenburg, Sweden.
Bondarenko, A., Hagen, M., Potthast, M., Wachsmuth, H., Beloucif, M., Biemann, C., Panchenko, A., Stein, B. (2020): Touché: First Shared Task on Argument Retrieval. Proceedings of ECIR 2020 Clef Task papers, Lisbon, Portugal
Bondarenko, A., Braslavski, P., Völske, M., Aly, R., Fröbe, M., Panchenko, A., Biemann, C., Stein, B., Hagen, M. (2020): Comparative Web Search Questions. The 13th ACM International WSDM Conference, Houston, Texas, USA
Liventsev, V., Shelmanov, A., Kireev, D., Khromov, N., Panchenko, A., & Dylov, D. (2019). Active learning with deep pre-trained models for sequence tagging of clinical and biomedical texts. In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM’2019). San Diego, CA, USA.
Puzyrev, D., Shelmanov, A., Panchenko, A., Artemova, E. (2019): Noun Compositionality Detection Using Distributional Semantics for the Russian Language. Proceedings of the 8-th conference on Analysis of Images, Social Networks and Texts (AIST’2019). Springer Lecture Notes in Computer Science. Kazan, Russia.
Kutuzov, A., Nikishina I. (2019): Double-Blind Peer-Reviewing and Inclusiveness in Russian NLP Conferences. Proceedings of the 8-th conference on Analysis of Images, Social Networks and Texts (AIST’2019). Springer Lecture Notes in Computer Science. Kazan, Russia.
Chistova, E., Shelmanov, A. Pisarevskaya, D., Smirnov, I., and Toldova, S. (2019): Classification Models for RST Discourse Parsing of Texts in Russian. In Proceedings of the 25th International Conference on Computational Linguistics and Intellectual Technologies (Dialogue’2019). Moscow, Russia. RGGU
Arefyev N., Sheludko B., and Panchenko A. (2019): Combining Lexical Substitutes in Neural Word Sense Induction. In Proceedings of the 12th International Conference on Recent Advances in Natural Language Processing. pp.62-70. Varna, Bulgaria
Jana, A., Puzyrev, D., Panchenko, A., Goyal, P., Biemann, C., Mukherjee, A. (2019): On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings. Proceedings of ACL 2019 (full papers), Florence, Italy
Kutuzov, A., Dorgham, M, Oliynyk, O., Biemann, C., Panchenko, A. (2019): Making Fast Graph-based Algorithms with Graph Metric Embeddings. Proceedings of ACL 2019 (short papers), Florence, Italy
Aly, R., Acharya, S., Ossa, A., Köhn, A., Biemann, C., Panchenko, A. (2019): Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings. Proceedings of ACL 2019 (short papers), Florence, Italy
Chernodub, A., Oliynyk, O., Heidenreich, P., Bondarenko, A., Hagen, M., Biemann, C., Panchenko, A. (2019): TARGER: Neural Argument Mining at Your Fingertips. Proceedings of ACL 2019 (demo papers), Florence, Italy
Sevgili, Ö., Panchenko, A., Biemann, C. (2019): Improving Neural Entity Disambiguation with Graph Embeddings. Proceedings of the ACL 2019 Student Research Workshop, Florence, Italy
Kutuzov, A., Dorgham, M., Oliynyk, O., Panchenko, A. and Biemann, C. (2019): Learning Graph Embeddings from WordNet-based Similarity Measures. Proceedings of *SEM, Minneapolis, MN, USA

Workshop proceedings

Chekalina, V., Panchenko (2021): Retrieving Comparative Arguments using Ensemble Methods and Neural Information Retrieval. Proceedings of the Working Notes of CLEF 2021 – Conference and Labs of the Evaluation Forum. Bucharest, Romania.
Dementieva, D., Ustyantsev, S., Dale, D., Kozlova, O., Semenov, N., Panchenko, A., and Logacheva, V. (2021): Crowdsourcing of Parallel Corpora: the Case of Style Transfer for Detoxification. Proceedings of the 2nd Crowd Science Workshop: Trust, Ethics, and Excellence in Crowdsourced Data Management at Scale co-located with 47th International Conference on Very Large Data Bases (VLDB 2021) . Copenhagen, Denmark
Razzhigaev, A., Arefyev, N., Panchenko, A. (2021): SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task. In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021). Association for Computational Linguistics. Bangkok, Thailand (Online)
Dale, D., Markov, I., Logacheva, V., Kozlova, O., Semenov, N., Panchenko, A. (2021): SkoltechNLP at SemEval-2021 Task 5: Leveraging Sentence-level Pre-training for Toxic Span Detection. In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021). Association for Computational Linguistics. Bangkok, Thailand (Online)
Dementieva, D., Moskovskiy, D., Logacheva, V., Dale, D., Kozlova, O., Semenov, N., and Panchenko, A. (2021): Methods for Detoxification of Texts for the Russian Language. In Proceedings of the 1st Workshop on NLP for Positive Impact (non-archival). The Association for Computational Linguistics and The Asian Federation of Natural Language Processing. Bangkok, Thailand (online
Babakov N., Logacheva, V., Kozlova, O., Semenov, N., Panchenko, A. (2021): Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company’s Reputation. In Proceeding of the 8th Workshop on Balto-Slavic Natural Language Processing (BSNLP 2021). The 2021 Conference of the European Chapter of the Association for Computational Linguistics. Kyiv, Ukraine (Online)
Bondarenko, A., Fröbe, M., Beloucif, M., Gienapp, L., Ajjour, Y., Panchenko, A., Biemann, C., Stein, B., Wachsmuth, H., Potthast, M. Hagen, M. (2020): Overview of Touché 2020: Argument Retrieval. Working Notes of CLEF 2020 – Conference and Labs of the Evaluation Forum. Thessaloniki, Greece.
Chekalina, V. and Panchenko, A. (2020): Retrieving Comparative Arguments using Deep Pre-trained Language Models and NLU. Working Notes of CLEF 2020 – Conference and Labs of the Evaluation Forum. Thessaloniki, Greece.
Bondarenko, A., Hagen, M., Beloucif, M., Biemann, C., Panchenko, A. (2020): Answering Comparative Questions with Web-based Arguments. Proceedings of AAAI 2020 Workshop on Interactive and Conversational Recommendation Systems, New York, USA
Puzyrev, D., Artemova, E., Shelmanov, A., and Panchenko, A. (2020): Blending fastText and BERT Predictions for Taxonomy Enrichment. In the Supplementary Proceedings of the 26th International Conference on Computational Linguistics and Intellectual Technologies (Dialogue’2020). Moscow, Russia. RGGU
Panchenko, A., Bondarenko, A., Franzek, M., Hagen, M., Biemann, C. (2019): Categorizing Comparative Sentences. Proceedings of the 6th Workshop on Argument Mining, Florence, Italy.
Puzyrev, D., Shelmanov, A., Panchenko, A. and Artemova, E., 2019, August. A Dataset for Noun Compositionality Detection for a Slavic Language. In Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing (pp. 56-62).
Arefyev, N., Sheludko, B., Davletov, A., Kharchev, D., Nevidomsky, A., Panchenko, A. (2019): Neural GRANNy at SemEval 2019 Task 2: A combined approach for better modeling of semantic relationships in semantic frame induction. Proceedings of SemEval 2019, Minneapolis, MN, USA [Winner of Task 2 and selected for best of SemEval session]
Anwar, S., Ustalov, D., Arefyev, N., Ponzetto, S.P., Biemann C. and Panchenko, A. (2019): HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings. Proceedings of SemEval 2019, Minneapolis, MN, USA