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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) - [c115]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 - [c114]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 - [c113]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 - [c112]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 - [c111]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 - [c110]Viktor Moskvoretskii, Alexander Panchenko, Irina Nikishina:
Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning. LREC/COLING 2024: 1498-1510 - [c109]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 - [c108]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 - [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] - [i68]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) - [i67]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) - [i66]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) - [i65]Daryna Dementieva, Nikolay Babakov, Alexander Panchenko:
MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages. CoRR abs/2404.02037 (2024) - [i64]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) - [i63]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) - [i62]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) - [i61]Elisei Rykov, Egor Malkershin, Alexander Panchenko:
S3: A Simple Strong Sample-effective Multimodal Dialog System. CoRR abs/2406.18305 (2024) - [i60]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) - [i59]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) - [i58]Maria Lysyuk, Mikhail Salnikov, Pavel Braslavski, Alexander Panchenko:
Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering. CoRR abs/2409.15902 (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 - [c56]Irina Nikishina, Natalia V. Loukachevitch, Varvara Logacheva, Alexander Panchenko:
Evaluation of Taxonomy Enrichment on Diachronic WordNet Versions. GWC 2021: 126-136 - [e13]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] - [e12]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] - [d6]Alexander Bondarenko, Matthias Hagen, Maik Fröbe, Meriem Beloucif, Chris Biemann, Alexander Panchenko:
Touché22-Argument-Retrieval-for-Comparative-Questions. Zenodo, 2021
- [d5]Alexander Bondarenko, Matthias Hagen, Maik Fröbe, Meriem Beloucif, Chris Biemann, Alexander Panchenko:
Touché22-Argument-Retrieval-for-Comparative-Questions. Zenodo, 2021 - [i37]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. CoRR abs/2101.08133 (2021) - [i36]Nikolay Babakov, Varvara Logacheva, Olga Kozlova, Nikita Semenov, Alexander Panchenko:
Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company's Reputation. CoRR abs/2103.05345 (2021) - [i35]Daryna Dementieva, Daniil Moskovskiy, Varvara Logacheva, David Dale, Olga Kozlova, Nikita Semenov, Alexander Panchenko:
Methods for Detoxification of Texts for the Russian Language. CoRR abs/2105.09052 (2021) - [i34]David Dale, Anton Voronov, Daryna Dementieva, Varvara Logacheva, Olga Kozlova, Nikita Semenov, Alexander Panchenko:
Text Detoxification using Large Pre-trained Neural Models. CoRR abs/2109.08914 (2021) - 2020
- [j13]Alexander Bondarenko, Alexander Panchenko, Meriem Beloucif, Chris Biemann, Matthias Hagen:
Answering Comparative Questions with Arguments. Datenbank-Spektrum 20(2): 155-160 (2020) - [j12]Chang Liu, Alexander Panchenko, Bondarenko Igor Nikolaevich, Ibraimov Ilver:
Analysis of the Mathematical Model of Open Coaxial Measuring Microwave Converters. Mob. Networks Appl. 25(4): 1582-1586 (2020) - [c55]Elena Chistova, Artem Shelmanov, Dina Pisarevskaya, Maria Kobozeva, Vadim Isakov, Alexander Panchenko, Svetlana Toldova, Ivan V. Smirnov:
RST Discourse Parser for Russian: An Experimental Study of Deep Learning Models. AIST 2020: 105-119 - [c54]Alexander Bondarenko, Maik Fröbe, Meriem Beloucif, Lukas Gienapp, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2020: Argument Retrieval - Extended Abstract. CLEF 2020: 384-395 - [c53]Alexander Bondarenko, Maik Fröbe, Meriem Beloucif, Lukas Gienapp, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2020: Argument Retrieval. CLEF (Working Notes) 2020 - [c52]Viktoria Chekalina, Alexander Panchenko:
Retrieving Comparative Arguments using Deep Pre-trained Language Models and NLU. CLEF (Working Notes) 2020 - [c51]Nikolay Arefyev, Boris Sheludko, Alexander Podolskiy, Alexander Panchenko:
Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution. COLING 2020: 1242-1255 - [c50]Irina Nikishina, Varvara Logacheva, Alexander Panchenko, Natalia V. Loukachevitch:
Studying Taxonomy Enrichment on Diachronic WordNet Versions. COLING 2020: 3095-3106 - [c49]Daryna Dementieva, Alexander Panchenko:
Fake News Detection using Multilingual Evidence. DSAA 2020: 775-776 - [c48]Alexander Bondarenko, Matthias Hagen, Martin Potthast, Henning Wachsmuth, Meriem Beloucif, Chris Biemann, Alexander Panchenko, Benno Stein:
Touché: First Shared Task on Argument Retrieval. ECIR (2) 2020: 517-523 - [c47]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 - [c46]Daryna Dementieva, Igor Markov, Alexander Panchenko:
SkoltechNLP at SemEval-2020 Task 11: Exploring Unsupervised Text Augmentation for Propaganda Detection. SemEval@COLING 2020: 1786-1792 - [c45]Alexander Bondarenko, Pavel Braslavski, Michael Völske, Rami Aly, Maik Fröbe, Alexander Panchenko, Chris Biemann, Benno Stein, Matthias Hagen:
Comparative Web Search Questions. WSDM 2020: 52-60 - [d4]Alexander Bondarenko, Pavel Braslavski, Michael Völske, Rami Aly, Maik Fröbe, Alexander Panchenko, Chris Biemann, Benno Stein, Matthias Hagen:
Webis-CompQuestions-20. Zenodo, 2020 - [d3]Alexander Bondarenko, Matthias Hagen, Maik Fröbe, Meriem Beloucif, Chris Biemann, Alexander Panchenko:
Touché20-Argument-Retrieval-for-Comparative-Questions. Zenodo, 2020 - [d2]Alexander Bondarenko, Matthias Hagen, Maik Fröbe, Meriem Beloucif, Chris Biemann, Alexander Panchenko:
Touché20-Argument-Retrieval-for-Comparative-Questions. Zenodo, 2020 - [i33]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) - [i32]Irina Nikishina, Varvara Logacheva, Alexander Panchenko, Natalia V. Loukachevitch:
RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language. CoRR abs/2005.11176 (2020) - [i31]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) - [i30]Özge Sevgili, Artem Shelmanov, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann:
Neural Entity Linking: A Survey of Models based on Deep Learning. CoRR abs/2006.00575 (2020) - [i29]Irina Nikishina, Alexander Panchenko, Varvara Logacheva, Natalia V. Loukachevitch:
Studying Taxonomy Enrichment on Diachronic WordNet Versions. CoRR abs/2011.11536 (2020)
2010 – 2019
- 2019
- [j11]Dmitry Ustalov, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Watset. Comput. Linguistics 45(3): 423-479 (2019) - [c44]Artem N. Chernodub, Oleksiy Oliynyk, Philipp Heidenreich, Alexander Bondarenko, Matthias Hagen, Chris Biemann, Alexander Panchenko:
TARGER: Neural Argument Mining at Your Fingertips. ACL (3) 2019: 195-200 - [c43]Özge Sevgili, Alexander Panchenko, Chris Biemann:
Improving Neural Entity Disambiguation with Graph Embeddings. ACL (2) 2019: 315-322 - [c42]Abhik Jana, Dmitry Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee:
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings. ACL (1) 2019: 3263-3274 - [c41]Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko:
Making Fast Graph-based Algorithms with Graph Metric Embeddings. ACL (1) 2019: 3349-3355 - [c40]Rami Aly, Shantanu Acharya, Alexander Ossa, Arne Köhn, Chris Biemann, Alexander Panchenko:
Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings. ACL (1) 2019: 4811-4817 - [c39]Dmitry Puzyrev, Artem Shelmanov, Alexander Panchenko, Ekaterina Artemova:
A Dataset for Noun Compositionality Detection for a Slavic Language. BSNLP@ACL 2019: 56-62 - [c38]Dmitry Puzyrev, Artem Shelmanov, Alexander Panchenko, Ekaterina Artemova:
Noun Compositionality Detection Using Distributional Semantics for the Russian Language. AIST 2019: 218-229 - [c37]Alexander Panchenko, Alexander Bondarenko, Mirco Franzek, Matthias Hagen, Chris Biemann:
Categorizing Comparative Sentences. ArgMining@ACL 2019: 136-145 - [c36]Artem Shelmanov, Vadim Liventsev, Danil Kireev, Nikita Khromov, Alexander Panchenko, Irina Fedulova, Dmitry V. Dylov:
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts. BIBM 2019: 482-489 - [c35]Matthias Schildwächter, Alexander Bondarenko, Julian Zenker, Matthias Hagen, Chris Biemann, Alexander Panchenko:
Answering Comparative Questions: Better than Ten-Blue-Links? CHIIR 2019: 361-365 - [c34]Nikolay Arefyev, Boris Sheludko, Alexander Panchenko:
Combining Lexical Substitutes in Neural Word Sense Induction. RANLP 2019: 62-70 - [c33]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 - [c32]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 - [c31]Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko:
Learning Graph Embeddings from WordNet-based Similarity Measures. *SEM@NAACL-HLT 2019: 125-135 - [d1]Dmitry Ustalov, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction. Zenodo, 2019 - [i28]Matthias Schildwächter, Alexander Bondarenko, Julian Zenker, Matthias Hagen, Chris Biemann, Alexander Panchenko:
Answering Comparative Questions: Better than Ten-Blue-Links? CoRR abs/1901.05041 (2019) - [i27]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) - [i26]Rami Aly, Shantanu Acharya, Alexander Ossa, Arne Köhn, Chris Biemann, Alexander Panchenko:
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings. CoRR abs/1906.02002 (2019) - [i25]Abhik Jana, Dmitry Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee:
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings. CoRR abs/1906.03007 (2019) - [i24]Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko:
Making Fast Graph-based Algorithms with Graph Metric Embeddings. CoRR abs/1906.07040 (2019) - [i23]Vladyslav Oles, Nathan Lemons, Alexander Panchenko:
Efficient estimation of a Gromov-Hausdorff distance between unweighted graphs. CoRR abs/1909.09772 (2019) - [i22]Alexander Panchenko, Dmitry Babaev, Sergei A. Obiedkov:
Large-Scale Parallel Matching of Social Network Profiles. CoRR abs/1911.06861 (2019) - 2018
- [j10]Chris Biemann, Stefano Faralli, Alexander Panchenko, Simone Paolo Ponzetto:
A framework for enriching lexical semantic resources with distributional semantics. Nat. Lang. Eng. 24(2): 265-312 (2018) - [c30]Dmitry Ustalov, Alexander Panchenko, Andrei Kutuzov, Chris Biemann, Simone Paolo Ponzetto:
Unsupervised Semantic Frame Induction using Triclustering. ACL (2) 2018: 55-62 - [c29]Dmitry Ustalov, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Unsupervised Sense-Aware Hypernymy Extraction. KONVENS 2018: 192-201 - [c28]Stefano Faralli, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Enriching Frame Representations with Distributionally Induced Senses. LREC 2018 - [c27]Alexander Panchenko, Eugen Ruppert, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann:
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl. LREC 2018 - [c26]Alexander Panchenko, Dmitry Ustalov, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann:
Improving Hypernymy Extraction with Distributional Semantic Classes. LREC 2018 - [c25]Dmitry Ustalov, Denis Teslenko, Alexander Panchenko, Mikhail Chernoskutov, Chris Biemann, Simone Paolo Ponzetto:
An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages. LREC 2018 - [c24]Alexander Bondarenko, Matthias Hagen, Michael Völske, Benno Stein, Alexander Panchenko, Chris Biemann:
Webis at TREC 2018: Common Core Track. TREC 2018 - [e11]Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavas, Dmitry I. Ignatov, Michael Yu. Khachay, Olessia Koltsova, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko:
Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018), Moscow, Russia, July 5 - 7, 2018. CEUR Workshop Proceedings 2268, CEUR-WS.org 2018 [contents] - [e10]Wil M. P. van der Aalst, Dmitry I. Ignatov, Michael Yu. Khachay, Sergei O. Kuznetsov, Victor S. Lempitsky, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman:
Analysis of Images, Social Networks and Texts - 6th International Conference, AIST 2017, Moscow, Russia, July 27-29, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10716, Springer 2018, ISBN 978-3-319-73012-7 [contents] - [e9]Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavas, Dmitry I. Ignatov, Michael Yu. Khachay, Sergei O. Kuznetsov, Olessia Koltsova, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko:
Analysis of Images, Social Networks and Texts - 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11179, Springer 2018, ISBN 978-3-030-11026-0 [contents] - [i21]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) - [i20]Alexander Panchenko, Natalia V. Loukachevitch, Dmitry Ustalov, Denis Paperno, Christian Meyer, Natalia Konstantinova:
RUSSE: The First Workshop on Russian Semantic Similarity. CoRR abs/1803.05820 (2018) - [i19]Stefano Faralli, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Enriching Frame Representations with Distributionally Induced Senses. CoRR abs/1803.05829 (2018) - [i18]Nikita Muravyev, Alexander Panchenko, Sergei A. Obiedkov:
Neologisms on Facebook. CoRR abs/1804.05831 (2018) - [i17]Dmitry Ustalov, Denis Teslenko, Alexander Panchenko, Mikhail Chernoskutov, Chris Biemann, Simone Paolo Ponzetto:
An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages. CoRR abs/1804.10686 (2018) - [i16]Dmitry Ustalov, Alexander Panchenko, Andrei Kutuzov, Chris Biemann, Simone Paolo Ponzetto:
Unsupervised Semantic Frame Induction using Triclustering. CoRR abs/1805.04715 (2018) - [i15]Nikolay Arefyev, Pavel Ermolaev, Alexander Panchenko:
How much does a word weigh? Weighting word embeddings for word sense induction. CoRR abs/1805.09209 (2018) - [i14]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) - [i13]Dmitry Ustalov, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Local-Global Graph Clustering with Applications in Sense and Frame Induction. CoRR abs/1808.06696 (2018) - [i12]Alexander Panchenko:
Sentiment Index of the Russian Speaking Facebook. CoRR abs/1808.07851 (2018) - [i11]Mirco Franzek, Alexander Panchenko, Chris Biemann:
Categorization of Comparative Sentences for Argument Mining. CoRR abs/1809.06152 (2018) - [i10]Dmitry Ustalov, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Unsupervised Sense-Aware Hypernymy Extraction. CoRR abs/1809.06223 (2018) - 2017
- [c23]Dmitry Ustalov, Alexander Panchenko, Chris Biemann:
Automatic Induction of Synsets from a Graph of Synonyms. ACL (1) 2017: 1579-1590 - [c22]Dmitry Ustalov, Mikhail Chernoskutov, Chris Biemann, Alexander Panchenko:
Fighting with the Sparsity of Synonymy Dictionaries for Automatic Synset Induction. AIST 2017: 94-105 - [c21]Alexander Panchenko, Eugen Ruppert, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann:
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation. EACL (1) 2017: 86-98 - [c20]Dmitry Ustalov, Nikolay Arefyev, Chris Biemann, Alexander Panchenko:
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning. EACL (2) 2017: 543-550 - [c19]Stefano Faralli, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
The ContrastMedium Algorithm: Taxonomy Induction From Noisy Knowledge Graphs With Just A Few Links. EACL (1) 2017: 590-600 - [c18]Alexander Panchenko, Fide Marten, Eugen Ruppert, Stefano Faralli, Dmitry Ustalov, Simone Paolo Ponzetto, Chris Biemann:
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation. EMNLP (System Demonstrations) 2017: 91-96 - [c17]Seid Muhie Yimam, Steffen Remus, Alexander Panchenko, Andreas Holzinger, Chris Biemann:
Entity-Centric Information Access with Human in the Loop for the Biomedical Domain. BiomedicalNLP@RANLP 2017: 42-48 - [e8]Dmitry I. Ignatov, Mikhail Yu. Khachay, Valeri G. Labunets, Natalia V. Loukachevitch, Sergey I. Nikolenko, Alexander Panchenko, Andrey V. Savchenko, Konstantin V. Vorontsov:
Analysis of Images, Social Networks and Texts - 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information Science 661, 2017, ISBN 978-3-319-52919-6 [contents] - [e7]Wil M. P. van der Aalst, Mikhail Yu. Khachay, Sergei O. Kuznetsov, Victor S. Lempitsky, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman, Dmitry I. Ignatov:
Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST 2017), Moscow, Russia, July 27 - 29, 2017. CEUR Workshop Proceedings 1975, CEUR-WS.org 2017 [contents] - [i9]Dmitry Ustalov, Alexander Panchenko, Chris Biemann:
Watset: Automatic Induction of Synsets from a Graph of Synonyms. CoRR abs/1704.07157 (2017) - [i8]Dmitry Ustalov, Nikolay Arefyev, Chris Biemann, Alexander Panchenko:
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning. CoRR abs/1707.03903 (2017) - [i7]Alexander Panchenko, Fide Marten, Eugen Ruppert, Stefano Faralli, Dmitry Ustalov, Simone Paolo Ponzetto, Chris Biemann:
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation. CoRR abs/1707.06878 (2017) - [i6]Maria Pelevina, Nikolay Arefyev, Chris Biemann, Alexander Panchenko:
Making Sense of Word Embeddings. CoRR abs/1708.03390 (2017) - [i5]Dmitry Ustalov, Mikhail Chernoskutov, Chris Biemann, Alexander Panchenko:
Fighting with the Sparsity of Synonymy Dictionaries. CoRR abs/1708.09234 (2017) - [i4]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) - [i3]Alexander Panchenko, Eugen Ruppert, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann:
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl. CoRR abs/1710.01779 (2017) - [i2]Alexander Panchenko, Dmitry Ustalov, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann:
Improving Hypernymy Extraction with Distributional Semantic Classes. CoRR abs/1711.02918 (2017) - [i1]Chris Biemann, Stefano Faralli, Alexander Panchenko, Simone Paolo Ponzetto:
A Framework for Enriching Lexical Semantic Resources with Distributional Semantics. CoRR abs/1712.08819 (2017) - 2016
- [j9]Alexandre M. Tartakovsky, Alexander Panchenko:
Pairwise Force Smoothed Particle Hydrodynamics model for multiphase flow: Surface tension and contact line dynamics. J. Comput. Phys. 305: 1119-1146 (2016) - [c16]Seid Muhie Yimam, Heiner Ulrich, Tatiana von Landesberger, Marcel Rosenbach, Michaela Regneri, Alexander Panchenko, Franziska Lehmann, Uli Fahrer, Chris Biemann, Kathrin Ballweg:
new/s/leak - Information Extraction and Visualization for Investigative Data Journalists. ACL (System Demonstrations) 2016: 163-168 - [c15]Alexander Panchenko, Dmitry Ustalov, Nikolay Arefyev, Denis Paperno, Natalia Konstantinova, Natalia V. Loukachevitch, Chris Biemann:
Human and Machine Judgements for Russian Semantic Relatedness. AIST 2016: 221-235 - [c14]Alexander Panchenko, Johannes Simon, Martin Riedl, Chris Biemann:
Noun Sense Induction and Disambiguation using Graph-Based Distributional Semantics. KONVENS 2016 - [c13]Alexander Panchenko:
Best of Both Worlds: Making Word Sense Embeddings Interpretable. LREC 2016 - [c12]Maria Pelevina, Nikolay Arefiev, Chris Biemann, Alexander Panchenko:
Making Sense of Word Embeddings. Rep4NLP@ACL 2016: 174-183 - [c11]Alexander Panchenko, Stefano Faralli, Eugen Ruppert, Steffen Remus, Hubert Naets, Cédrick Fairon, Simone Paolo Ponzetto, Chris Biemann:
TAXI at SemEval-2016 Task 13: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling. SemEval@NAACL-HLT 2016: 1320-1327 - [c10]Stefano Faralli, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Linked Disambiguated Distributional Semantic Networks. ISWC (2) 2016: 56-64 - [e6]Dmitry I. Ignatov, Mikhail Yu. Khachay, Valeri G. Labunets, Natalia V. Loukachevitch, Sergey I. Nikolenko, Alexander Panchenko, Andrey V. Savchenko, Konstantin V. Vorontsov:
Supplementary Proceedings of the Fifth International Conference on Analysis of Images, Social Networks and Texts (AIST 2016), Yekaterinburg, Russia, April 6-8, 2016. CEUR Workshop Proceedings 1710, CEUR-WS.org 2016 [contents] - [e5]Jaume Baixeries, Dmitry I. Ignatov, Dmitry I. Ilvovsky, Alexander Panchenko:
Proceedings of the Third Workshop on Concept Discovery in Unstructured Data co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), Moscow, Russia, July 18, 2016. CEUR Workshop Proceedings 1625, CEUR-WS.org 2016 [contents] - 2015
- [j8]Denis F. Hinz, Alexander Panchenko, Tae-Yeon Kim, Eliot Fried:
Particle-based simulations of self-motile suspensions. Comput. Phys. Commun. 196: 45-57 (2015) - [c9]Alexander Panchenko, Dmitry Babaev, Sergei A. Obiedkov:
Large-Scale Parallel Matching of Social Network Profiles. AIST 2015: 275-285 - [e4]Mikhail Yu. Khachay, Natalia Konstantinova, Alexander Panchenko, Dmitry I. Ignatov, Valeri G. Labunets:
Analysis of Images, Social Networks and Texts - 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9-11, 2015, Revised Selected Papers. Communications in Computer and Information Science 542, Springer 2015, ISBN 978-3-319-26122-5 [contents] - [e3]Mikhail Yu. Khachay, Natalia Konstantinova, Alexander Panchenko, Radhakrishnan Delhibabu, Nikita Spirin, Valeri G. Labunets:
Supplementary Proceedings of the 4th International Conference on Analysis of Images, Social Networks and Texts (AIST'2015), Yekaterinburg, Russia, April 9-11, 2015. CEUR Workshop Proceedings 1452, CEUR-WS.org 2015 [contents] - 2014
- [j7]Maria-Carme Calderer, Antonio DeSimone, Dmitry Golovaty, Alexander Panchenko:
An Effective Model for Nematic Liquid Crystal Composites with Ferromagnetic Inclusions. SIAM J. Appl. Math. 74(2): 237-262 (2014) - [j6]Alexander Panchenko, Alexandre M. Tartakovsky, Kevin Cooper:
Discrete Models of Fluids: Spatial Averaging, Closure, and Model Reduction. SIAM J. Appl. Math. 74(2): 477-515 (2014) - [c8]Alexander Panchenko, Andrey Teterin:
Detecting Gender by Full Name: Experiments with the Russian Language. AIST 2014: 169-182 - [e2]Dmitry I. Ignatov, Mikhail Yu. Khachay, Alexander Panchenko, Natalia Konstantinova, Rostislav Yavorskiy:
Analysis of Images, Social Networks and Texts - Third International Conference, AIST 2014, Yekaterinburg, Russia, April 10-12, 2014, Revised Selected Papers. Communications in Computer and Information Science 436, Springer 2014, ISBN 978-3-319-12579-4 [contents] - [e1]Dmitry I. Ignatov, Mikhail Yu. Khachay, Alexander Panchenko, Natalia Konstantinova, Rostislav E. Yavorsky, Dmitry Ustalov:
Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST'2014), Yekaterinburg, Russia, April 10-12, 2014. CEUR Workshop Proceedings 1197, CEUR-WS.org 2014 [contents] - 2013
- [c7]Alexander Panchenko, Richard Beaufort, Hubert Naets, Cédrick Fairon:
Towards Detection of Child Sexual Abuse Media: Categorization of the Associated Filenames. ECIR 2013: 776-779 - [c6]Alexander Panchenko, Pavel Romanov, Olga Morozova, Hubert Naets, Andrey Philippovich, Alexey Romanov, Cédrick Fairon:
Serelex: Search and Visualization of Semantically Related Words. ECIR 2013: 837-840 - [c5]Alexander Panchenko, Hubert Naets, Laetitia Brouwers, Pavel Romanov, Cédrick Fairon:
Search and Visualization of Semantically Related Words (Recherche et visualisation de mots sémantiquement liés) [in French]. TALN (2) 2013: 747-754 - [c4]Ilkka Kivimäki, Alexander Panchenko, Adrien Dessy, Dries Verdegem, Pascal Francq, Hugues Bersini, Marco Saerens:
A Graph-Based Approach to Skill Extraction from Text. TextGraphs@EMNLP 2013: 79-87 - 2012
- [c3]Alexander Panchenko, Olga Morozova, Hubert Naets:
A semantic similarity measure based on lexico-syntactic patterns. KONVENS 2012: 174-178 - [c2]Alexander Panchenko:
A Study of Heterogeneous Similarity Measures for Semantic Relation Extraction. JEP-TALN-RECITAL 2012: 29-42 - 2011
- [j5]Alexandre M. Tartakovsky, Alexander Panchenko, Kim F. Ferris:
Dimension reduction method for ODE fluid models. J. Comput. Phys. 230(23): 8554-8572 (2011) - [c1]Alexander Panchenko:
Comparison of the Baseline Knowledge-, Corpus-, and Web-based Similarity Measures for Semantic Relations Extraction. GEMS 2011: 11-21
2000 – 2009
- 2008
- [j4]K. A. Ariyawansa, Leonid Berlyand, Alexander Panchenko:
A network model of geometrically constrained deformations of granular materials. Networks Heterog. Media 3(1): 125-148 (2008) - 2007
- [j3]Ming Fang, Robert P. Gilbert, Alexander Panchenko, Ana Vasilic:
Homogenizing the time-harmonic acoustics of bone: The monophasic case. Math. Comput. Model. 46(3-4): 331-340 (2007) - 2006
- [j2]Maria-Carme Calderer, Alexander Panchenko:
Young Measures and Order-Disorder Transition in Stationary Flow of Liquid Crystals. SIAM J. Math. Anal. 38(5): 1642-1659 (2006) - 2005
- [j1]Leonid Berlyand, Liliana Borcea, Alexander Panchenko:
Network Approximation for Effective Viscosity of Concentrated Suspensions with Complex Geometry. SIAM J. Math. Anal. 36(5): 1580-1628 (2005)
Coauthor Index
Nikolay Arefyev
aka: Nikolay Arefiev
aka: Nikolay Arefiev
[j20] [c109] [i60] [c98] [c94] [j15] [c78] [c77] [c75] [c67] [c66] [c63] [c60] [d6] [d5] [j13] [c54] [c53] [c48] [c47] [c45] [d4] [d3] [d2] [i33] [i30] [j11] [c44] [c43] [c42] [c41] [c40] [c37] [c35] [c32] [c31] [d1] [i28] [i27] [i26] [i25] [i24] [j10] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [i19] [i17] [i16] [i14] [i13] [i11] [i10] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1] [c16] [c15] [c14] [c12] [c11] [c10]
Mikhail Yu. Khachay
aka: Michael Yu. Khachay
aka: Michael Yu. Khachay
Andrey Kutuzov
aka: Andrei Kutuzov
aka: Andrei Kutuzov
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