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ORCIDAlexander Panchenko
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- affiliation: TU Darmstadt, Germany
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2020 – today
- 2023
[i49]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)- [i48]Viktoria Chekalina, Alexander Panchenko:
Retrieving Comparative Arguments using Ensemble Methods and Neural Information Retrieval. CoRR abs/2305.01513 (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] - [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 - [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 - [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]