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ORCIDAlexander Panchenko
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- affiliation: TU Darmstadt, Germany
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2020 – today
- 2024
[j21]Vladyslav Oles
, Nathan Lemons, Alexander Panchenko:
Efficient estimation of the modified Gromov-Hausdorff distance between unweighted graphs. J. Comb. Optim. 48(2): 14 (2024)- [j20]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) - [j19]Nikolay Babakov, Varvara Logacheva, Alexander Panchenko:
Beyond plain toxic: building datasets for detection of flammable topics and inappropriate statements. Lang. Resour. Evaluation 58(2): 459-504 (2024) - [c118]Viktor Moskvoretskii, Ekaterina Neminova, Alina Lobanova, Alexander Panchenko, Irina Nikishina:
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks. ACL (1) 2024: 2331-2350 - [c117]Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov:
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. ACL (Findings) 2024: 9367-9385 - [c116]Alena Fenogenova, Artem Chervyakov, Nikita Martynov, Anastasia Kozlova, Maria Tikhonova, Albina Akhmetgareeva, Anton A. Emelyanov, Denis Shevelev, Pavel Lebedev, Leonid Sinev, Ulyana Isaeva, Katerina Kolomeytseva, Daniil Moskovskiy, Elizaveta Goncharova, Nikita Savushkin, Polina Mikhailova, Anastasia Minaeva, Denis Dimitrov, Alexander Panchenko, Sergey Markov:
MERA: A Comprehensive LLM Evaluation in Russian. ACL (1) 2024: 9920-9948 - [c115]Abinew Ali Ayele, Nikolay Babakov, Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashaf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Daniil Moskovskiy, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Naquee Rizwan, Paolo Rosso, Florian Schneider, Alisa Smirnova, Efstathios Stamatatos, Elisei Stakovskii, Benno Stein, Mariona Taulé, Dmitry Ustalov, Xintong Wang, Matti Wiegmann, Seid Muhie Yimam, Eva Zangerle:
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview. CLEF (2) 2024: 231-259 - [c114]Daryna Dementieva, Daniil Moskovskiy, Nikolay Babakov, Abinew Ali Ayele, Naquee Rizwan, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Dmitry Ustalov, Elisei Stakovskii, Alisa Smirnova, Ashraf Elnagar, Animesh Mukherjee, Alexander Panchenko:
Overview of the Multilingual Text Detoxification Task at PAN 2024. CLEF (Working Notes) 2024: 2432-2461 - [c113]Viktor Moskvoretskii, Alexander Panchenko, Irina Nikishina:
Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning. LREC/COLING 2024: 1498-1510 - [c112]Ahmad Shallouf, Hanna Herasimchyk, Mikhail Salnikov, Rudy Alexandro Garrido Veliz, Natia Mestvirishvili, Alexander Panchenko, Chris Biemann, Irina Nikishina:
CAM 2.0: End-to-End Open Domain Comparative Question Answering System. LREC/COLING 2024: 2657-2672 - [c111]Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashraf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Paolo Rosso, Alisa Smirnova, Efstathios Stamatatos, Benno Stein, Mariona Taulé, Dmitry Ustalov, Matti Wiegmann, Eva Zangerle:
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract. ECIR (6) 2024: 3-10 - [c110]Daniil Moskovskiy, Sergey Pletenev, Alexander Panchenko:
LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxification. EMNLP (Findings) 2024: 14361-14373 - [c109]Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan V. Oseledets:
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers. EMNLP 2024: 14929-14939 - [c108]Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger:
xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics. EMNLP 2024: 21934-21949 - [c107]Daryna Dementieva, Nikolay Babakov, Alexander Panchenko:
MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages. NAACL (Short Papers) 2024: 124-140 - [c106]Maria Lysyuk, Mikhail Salnikov, Pavel Braslavski, Alexander Panchenko:
Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering. NLDB (2) 2024: 107-118 - [c105]Elisei Rykov, Egor Malkershin, Alexander Panchenko:
S3: A Simple Strong Sample-Effective Multimodal Dialog System. NLDB (1) 2024: 241-255 - [c104]Elisei Rykov, Yana Shishkina, Ksenia Petrushina, Ksenia Titova, Sergey Petrakov, Alexander Panchenko:
SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection. SemEval@NAACL 2024: 869-880 - [e17]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:
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] - [e16]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] - [i69]Alena Fenogenova, Artem Chervyakov, Nikita Martynov, Anastasia Kozlova, Maria Tikhonova, Albina Akhmetgareeva, Anton A. Emelyanov, Denis Shevelev, Pavel Lebedev, Leonid Sinev, Ulyana Isaeva, Katerina Kolomeytseva, Daniil Moskovskiy, Elizaveta Goncharova, Nikita Savushkin, Polina Mikhailova, Denis Dimitrov, Alexander Panchenko, Sergey Markov:
MERA: A Comprehensive LLM Evaluation in Russian. CoRR abs/2401.04531 (2024) - [i68]Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov:
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. CoRR abs/2403.04696 (2024) - [i67]Viktor Moskvoretskii, Ekaterina Neminova, Alina Lobanova, Alexander Panchenko, Irina Nikishina:
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Sematic Tasks. CoRR abs/2403.09207 (2024) - [i66]Daryna Dementieva, Nikolay Babakov, Alexander Panchenko:
MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages. CoRR abs/2404.02037 (2024) - [i65]Elisei Rykov, Yana Shishkina, Kseniia Petrushina, Kseniia Titova, Sergey Petrakov, Alexander Panchenko:
SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection. CoRR abs/2404.06137 (2024) - [i64]Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger:
xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics. CoRR abs/2406.14553 (2024) - [i63]Roman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev, Akim Tsvigun, Daniil Vasilev, Rui Xing, Abdelrahman Boda Sadallah, Lyudmila Rvanova, Sergey Petrakov, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov, Artem Shelmanov:
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph. CoRR abs/2406.15627 (2024) - [i62]Elisei Rykov, Egor Malkershin, Alexander Panchenko:
S3: A Simple Strong Sample-effective Multimodal Dialog System. CoRR abs/2406.18305 (2024) - [i61]Seid Muhie Yimam, Daryna Dementieva, Tim Fischer, Daniil Moskovskiy, Naquee Rizwan, Punyajoy Saha, Sarthak Roy, Martin Semmann, Alexander Panchenko, Chris Biemann, Animesh Mukherjee:
Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management. CoRR abs/2406.19543 (2024) - [i60]Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, Alexander Panchenko, Preslav Nakov, Timothy Baldwin, Maxim Panov, Artem Shelmanov:
Unconditional Truthfulness: Learning Conditional Dependency for Uncertainty Quantification of Large Language Models. CoRR abs/2408.10692 (2024) - [i59]Maria Lysyuk, Mikhail Salnikov, Pavel Braslavski, Alexander Panchenko:
Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering. CoRR abs/2409.15902 (2024) - [i58]Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Alexander Mikhalev, Alexander Panchenko, Ivan V. Oseledets:
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers. CoRR abs/2410.07383 (2024) - 2023
- [j18]Kirill Tyshchuk, Polina Karpikova, Andrew Spiridonov, Anastasiia Prutianova, Anton Razzhigaev, Alexander Panchenko:
On Isotropy of Multimodal Embeddings. Inf. 14(7): 392 (2023) - [j17]Daryna Dementieva, Mikhail Kuimov, Alexander Panchenko:
Multiverse: Multilingual Evidence for Fake News Detection. J. Imaging 9(4): 77 (2023) - [c103]Anton Razzhigaev, Mikhail Salnikov, Valentin Malykh, Pavel Braslavski, Alexander Panchenko:
A System for Answering Simple Questions in Multiple Languages. ACL (demo) 2023: 524-537 - [c102]Artem Vazhentsev, Akim Tsvigun, Roman Vashurin, Sergey Petrakov, Daniil Vasilev, Maxim Panov, Alexander Panchenko, Artem Shelmanov:
Efficient Out-of-Domain Detection for Sequence to Sequence Models. ACL (Findings) 2023: 1430-1454 - [c101]Artem Vazhentsev, Gleb Kuzmin, Akim Tsvigun, Alexander Panchenko, Maxim Panov, Mikhail Burtsev, Artem Shelmanov:
Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks. ACL (1) 2023: 11659-11681 - [c100]Sergey Pletenev, Daniil Moskovskiy, Viktoria Chekalina, Mikhail Seleznyov, Sergey Zagoruyko, Alexander Panchenko:
Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information. AIST 2023: 36-48 - [c99]Polina Chernomorchenko, Alexander Panchenko, Irina Nikishina:
Leveraging Taxonomic Information from Large Language Models for Hyponymy Prediction. AIST 2023: 49-63 - [c98]Özge Sevgili, Steffen Remus, Abhik Jana, Alexander Panchenko, Chris Biemann:
Unsupervised Ultra-Fine Entity Typing with Distributionally Induced Word Senses. AIST 2023: 126-140 - [c97]Anton Razzhigaev, Arseniy Shakhmatov, Anastasia Maltseva, Vladimir Arkhipkin, Igor Pavlov, Ilya Ryabov, Angelina Kuts, Alexander Panchenko, Andrey Kuznetsov, Denis Dimitrov:
Kandinsky: An Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion. EMNLP (Demos) 2023: 286-295 - [c96]Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov:
LM-Polygraph: Uncertainty Estimation for Language Models. EMNLP (Demos) 2023: 446-461 - [c95]Daniil Larionov, Vasiliy Viskov, George Kokush, Alexander Panchenko, Steffen Eger:
Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation. Eval4NLP 2023: 228-234 - [c94]Irina Nikishina, Polina Chernomorchenko, Anastasiia Demidova, Alexander Panchenko, Chris Biemann:
Predicting Terms in IS-A Relations with Pre-trained Transformers. IJCNLP (Findings) 2023: 134-148 - [c93]Gleb Kuzmin, Artem Vazhentsev, Artem Shelmanov, Xudong Han, Simon Suster, Maxim Panov, Alexander Panchenko, Timothy Baldwin:
Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? IJCNLP (1) 2023: 744-770 - [c92]Daryna Dementieva, Daniil Moskovskiy, David Dale, Alexander Panchenko:
Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification. IJCNLP (1) 2023: 1083-1101 - [c91]Nikolay Babakov, Maria Lysyuk, Alexander Shvets, Lilya Kazakova, Alexander Panchenko:
Error syntax aware augmentation of feedback comment generation dataset. INLG (Generation Challenges) 2023: 37-44 - [c90]Mikhail Salnikov, Maria Lysyuk, Pavel Braslavski, Anton Razzhigaev, Valentin Malykh, Alexander Panchenko:
Answer Candidate Type Selection: Text-To-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs. KONVENS 2023: 155-164 - [c89]Nikolay Babakov, David Dale, Ilya Gusev, Irina Krotova, Alexander Panchenko:
Don't Lose the Message While Paraphrasing: A Study on Content Preserving Style Transfer. NLDB 2023: 47-61 - [c88]Viktoria Chekalina, Georgiy Novikov, Julia Gusak, Alexander Panchenko, Ivan V. Oseledets:
Efficient GPT Model Pre-training using Tensor Train Matrix Representation. PACLIC 2023: 600-608 - [c87]Mikhail Salnikov, Hai Le, Prateek Rajput, Irina Nikishina, Pavel Braslavski, Valentin Malykh, Alexander Panchenko:
Large Language Models Meet Knowledge Graphs to Answer Factoid Questions. PACLIC 2023: 635-644 - [c86]Sergey Pletenev, Viktoria Chekalina, Daniil Moskovskiy, Mikhail Seleznev, Sergey Zagoruyko, Alexander Panchenko:
A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers. PACLIC 2023: 723-742 - [c85]Daryna Dementieva, Nikolay Babakov, Alexander Panchenko:
Detecting Text Formality: A Study of Text Classification Approaches. RANLP 2023: 274-284 - [c84]Vasiliy Viskov, George Kokush, Daniil Larionov, Steffen Eger, Alexander Panchenko:
Semantically-Informed Regressive Encoder Score. WMT 2023: 815-821 - [i57]Akim Tsvigun, Ivan Lysenko, Danila Sedashov, Ivan Lazichny, Eldar Damirov, Vladimir Karlov, Artemy Belousov, Leonid Sanochkin, Maxim Panov, Alexander Panchenko, Mikhail Burtsev, Artem Shelmanov:
Active Learning for Abstractive Text Summarization. CoRR abs/2301.03252 (2023) - [i56]Viktoria Chekalina, Alexander Panchenko:
Retrieving Comparative Arguments using Ensemble Methods and Neural Information Retrieval. CoRR abs/2305.01513 (2023) - [i55]Viktoria Chekalina, Georgii S. Novikov, Julia Gusak, Ivan V. Oseledets, Alexander Panchenko:
Efficient GPT Model Pre-training using Tensor Train Matrix Representation. CoRR abs/2306.02697 (2023) - [i54]Nikolay Babakov, David Dale, Ilya Gusev, Irina Krotova, Alexander Panchenko:
Don't lose the message while paraphrasing: A study on content preserving style transfer. CoRR abs/2308.09055 (2023) - [i53]Mikhail Salnikov, Hai Le, Prateek Rajput, Irina Nikishina, Pavel Braslavski, Valentin Malykh, Alexander Panchenko:
Large Language Models Meet Knowledge Graphs to Answer Factoid Questions. CoRR abs/2310.02166 (2023) - [i52]Anton Razzhigaev, Arseniy Shakhmatov, Anastasia Maltseva, Vladimir Arkhipkin, Igor Pavlov, Ilya Ryabov, Angelina Kuts, Alexander Panchenko, Andrey Kuznetsov, Denis Dimitrov:
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion. CoRR abs/2310.03502 (2023) - [i51]Mikhail Salnikov, Maria Lysyuk, Pavel Braslavski, Anton Razzhigaev, Valentin Malykh, Alexander Panchenko:
Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs. CoRR abs/2310.07008 (2023) - [i50]Oleksandr Dykhovychnyi, Alexander Panchenko:
Energy-efficient flocking in multi-agent systems. CoRR abs/2311.05181 (2023) - [i49]Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov:
LM-Polygraph: Uncertainty Estimation for Language Models. CoRR abs/2311.07383 (2023) - [i48]Daryna Dementieva, Daniil Moskovskiy, David Dale, Alexander Panchenko:
Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification. CoRR abs/2311.13937 (2023) - 2022
- [j16]Irina Nikishina, Mikhail Tikhomirov, Varvara Logacheva, Yuriy Nazarov, Alexander Panchenko, Natalia V. Loukachevitch:
Taxonomy enrichment with text and graph vector representations. Semantic Web 13(3): 441-475 (2022) - [j15]Özge Sevgili, Artem Shelmanov, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann:
Neural entity linking: A survey of models based on deep learning. Semantic Web 13(3): 527-570 (2022) - [c83]Nikolay Babakov, David Dale, Varvara Logacheva, Alexander Panchenko:
A large-scale computational study of content preservation measures for text style transfer and paraphrase generation. ACL (student) 2022: 300-321 - [c82]Daniil Moskovskiy, Daryna Dementieva, Alexander Panchenko:
Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models. ACL (student) 2022: 346-354 - [c81]Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Evgeny Frolov, Alexander Panchenko:
MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering. ACL (student) 2022: 355-365 - [c80]Varvara Logacheva, Daryna Dementieva, Sergey Ustyantsev, Daniil Moskovskiy, David Dale, Irina Krotova, Nikita Semenov, Alexander Panchenko:
ParaDetox: Detoxification with Parallel Data. ACL (1) 2022: 6804-6818 - [c79]Artem Vazhentsev, Gleb Kuzmin, Artem Shelmanov, Akim Tsvigun, Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov, Alexander Panchenko, Gleb Gusev, Mikhail Burtsev, Manvel Avetisian, Leonid Zhukov:
Uncertainty Estimation of Transformer Predictions for Misclassification Detection. ACL (1) 2022: 8237-8252 - [c78]Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2022: Argument Retrieval. CLEF 2022: 311-336 - [c77]Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2022: Argument Retrieval. CLEF (Working Notes) 2022: 2867-2903 - [c76]Viktoria Chekalina, Alexander Panchenko:
Retrieving Comparative Arguments using Deep Language Models. CLEF (Working Notes) 2022: 3032-3040 - [c75]Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2022: Argument Retrieval - Extended Abstract. ECIR (2) 2022: 339-346 - [c74]Akim Tsvigun, Ivan Lysenko, Danila Sedashov, Ivan Lazichny, Eldar Damirov, Vladimir Karlov, Artemy Belousov, Leonid Sanochkin, Maxim Panov, Alexander Panchenko, Mikhail Burtsev, Artem Shelmanov:
Active Learning for Abstractive Text Summarization. EMNLP (Findings) 2022: 5128-5152 - [c73]Irina Nikishina, Ivan Andrianov, Alsu Vakhitova, Alexander Panchenko:
TaxFree: a Visualization Tool for Candidate-free Taxonomy Enrichment. AACL/IJCNLP (System Demonstrations) 2022: 39-47 - [c72]Nikita Martynov, Irina Krotova, Varvara Logacheva, Alexander Panchenko, Olga Kozlova, Nikita Semenov:
RuPAWS: A Russian Adversarial Dataset for Paraphrase Identification. LREC 2022: 5683-5691 - [c71]Nikolay Babakov, David Dale, Varvara Logacheva, Irina Krotova, Alexander Panchenko:
Studying the Role of Named Entities for Content Preservation in Text Style Transfer. NLDB 2022: 437-448 - [c70]Mikhail Kuimov, Daryna Dementieva, Alexander Panchenko:
SkoltechNLP at SemEval-2022 Task 8: Multilingual News Article Similarity via Exploration of News Texts to Vector Representations. SemEval@NAACL 2022: 1136-1144 - [e15]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] - [e14]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] - [i47]Irina Nikishina, Mikhail Tikhomirov, Varvara Logacheva, Yuriy Nazarov, Alexander Panchenko, Natalia V. Loukachevitch:
Taxonomy Enrichment with Text and Graph Vector Representations. CoRR abs/2201.08598 (2022) - [i46]Nikolay Babakov, Varvara Logacheva, Alexander Panchenko:
Beyond Plain Toxic: Detection of Inappropriate Statements on Flammable Topics for the Russian Language. CoRR abs/2203.02392 (2022) - [i45]Daryna Dementieva, Ivan Trifinov, Andrey Likhachev, Alexander Panchenko:
Detecting Text Formality: A Study of Text Classification Approaches. CoRR abs/2204.08975 (2022) - [i44]Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Alexander Panchenko:
MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering. CoRR abs/2204.10629 (2022) - [i43]Daniil Moskovskiy, Daryna Dementieva, Alexander Panchenko:
Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models. CoRR abs/2206.02252 (2022) - [i42]Evgeny V. Kotelnikov, Natalia V. Loukachevitch, Irina Nikishina, Alexander Panchenko:
RuArg-2022: Argument Mining Evaluation. CoRR abs/2206.09249 (2022) - [i41]Nikolay Babakov, David Dale, Varvara Logacheva, Irina Krotova, Alexander Panchenko:
Studying the role of named entities for content preservation in text style transfer. CoRR abs/2206.09676 (2022) - [i40]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) - [i39]Daryna Dementieva, Mikhail Kuimov, Alexander Panchenko:
Multiverse: Multilingual Evidence for Fake News Detection. CoRR abs/2211.14279 (2022) - [i38]Nikolay Babakov, Maria Lysyuk, Alexander Shvets, Lilya Kazakova, Alexander Panchenko:
Error syntax aware augmentation of feedback comment generation dataset. CoRR abs/2212.14293 (2022) - 2021
- [j14]Daryna Dementieva, Daniil Moskovskiy, Varvara Logacheva, David Dale, Olga Kozlova, Nikita Semenov, Alexander Panchenko:
Methods for Detoxification of Texts for the Russian Language. Multimodal Technol. Interact. 5(9): 54 (2021) - [c69]Daryna Dementieva, Alexander Panchenko:
Cross-lingual Evidence Improves Monolingual Fake News Detection. ACL (student) 2021: 310-320 - [c68]Igor Vorona, Anh-Huy Phan, Alexander Panchenko, Andrzej Cichocki:
Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint. ACL/IJCNLP (Findings) 2021: 1674-1684 - [c67]Alexander Bondarenko, Lukas Gienapp, Maik Fröbe, Meriem Beloucif, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2021: Argument Retrieval. CLEF 2021: 450-467 - [c66]Alexander Bondarenko, Lukas Gienapp, Maik Fröbe, Meriem Beloucif, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2021: Argument Retrieval. CLEF (Working Notes) 2021: 2258-2284 - [c65]Viktoria Chekalina, Alexander Panchenko:
Retrieving Comparative Arguments using Ensemble Methods and BERT. CLEF (Working Notes) 2021: 2354-2365 - [c64]Daryna Dementieva, Sergey Ustyantsev, David Dale, Olga Kozlova, Nikita Semenov, Alexander Panchenko, Varvara Logacheva:
Crowdsourcing of Parallel Corpora: the Case of Style Transfer for Detoxification. CSW@VLDB 2021: 35-49 - [c63]Viktoria Chekalina, Alexander Bondarenko, Chris Biemann, Meriem Beloucif, Varvara Logacheva, Alexander Panchenko:
Which is Better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language. EACL (System Demonstrations) 2021: 302-311 - [c62]Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko:
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. EACL 2021: 1698-1712 - [c61]Artem Shelmanov, Evgenii Tsymbalov, Dmitry Puzyrev, Kirill Fedyanin, Alexander Panchenko, Maxim Panov:
How Certain is Your Transformer? EACL 2021: 1833-1840 - [c60]Alexander Bondarenko, Lukas Gienapp, Maik Fröbe, Meriem Beloucif, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2021: Argument Retrieval - Extended Abstract. ECIR (2) 2021: 574-582 - [c59]David Dale, Anton Voronov, Daryna Dementieva, Varvara Logacheva, Olga Kozlova, Nikita Semenov, Alexander Panchenko:
Text Detoxification using Large Pre-trained Neural Models. EMNLP (1) 2021: 7979-7996 - [c58]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 - [c57]David Dale, Igor Markov, Varvara Logacheva, Olga Kozlova, Nikita Semenov, Alexander Panchenko:
SkoltechNLP at SemEval-2021 Task 5: Leveraging Sentence-level Pre-training for Toxic Span Detection. SemEval@ACL/IJCNLP 2021: 927-934