Alexander Panchenko

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Chris BiemannProfessor for Language Technology, University of HamburgVerified email at informatik.uni-hamburg.de
Dmitry UstalovJetBrainsVerified email at jetbrains.com
Simone Paolo PonzettoProfessor of Information Systems, University of MannheimVerified email at uni-mannheim.de
Nikolay ArefyevPostdoctoral Research Fellow, Department of Informatics, University of OsloVerified email at uio.no
Varvara LogachevaSkoltechVerified email at skoltech.ru
Matthias HagenFriedrich-Schiller-Universität JenaVerified email at uni-jena.de
Наталья Лукашевич, Natalia Loukach...Leading Researcher of Lomonosov Moscow State UniversityVerified email at mail.cir.ru
Stefano FaralliSapienza University of RomeVerified email at di.uniroma1.it
Alexander BondarenkoFriedrich-Schiller-Universität JenaVerified email at uni-jena.de
Artem ShelmanovMBZUAIVerified email at mbzuai.ac.ae
Cédrick FaironProfessor of linguistics and Natural Language Processing, Université catholique de LouvainVerified email at uclouvain.be
Daryna DementievaTUMVerified email at tum.de
Benno SteinProfessor for Computer Science, Bauhaus-Universität WeimarVerified email at uni-weimar.de
Natalia KonstantinovaPhD, University of WolverhamptonVerified email at wlv.ac.uk
Meriem Beloucif ( مريم بلوصيف )Assistant Professor, Uppsala UniversityVerified email at lingfil.uu.se
Henning WachsmuthLeibniz University Hannover, L3S Research CenterVerified email at ai.uni-hannover.de
Martin PotthastLeipzig UniversityVerified email at uni-leipzig.de
Irina NikishinaPostdoc @ University of HamburgVerified email at uni-hamburg.de
David DaleMeta AIVerified email at meta.com
Andrey KutuzovUniversity of OsloVerified email at ifi.uio.no

Alexander Panchenko

Other namesАлександр Иванович Панченко

Associate Professor for NLP at Skoltech, Artificial Intelligence Research Institute

Verified email at skol.tech - Homepage

natural language processing word sense disambiguation text style transfer argument mining graph clustering


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Making sense of word embeddings M Pelevina, N Arefyev, C Biemann, A Panchenko arXiv preprint arXiv:1708.03390, 2017	164	2017
Neural entity linking: A survey of models based on deep learning Ö Sevgili, A Shelmanov, M Arkhipov, A Panchenko, C Biemann Semantic Web 13 (3), 527-570, 2022	97	2022
Targer: Neural argument mining at your fingertips A Chernodub, O Oliynyk, P Heidenreich, A Bondarenko, M Hagen, ... Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019	91	2019
Taxi at semeval-2016 task 13: a taxonomy induction method based on lexico-syntactic patterns, substrings and focused crawling A Panchenko, S Faralli, E Ruppert, S Remus, H Naets, C Fairon, ... Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016	86	2016
RUSSE: the first workshop on Russian semantic similarity A Panchenko, N Loukachevitch, D Ustalov, D Paperno, C Meyer, ... arXiv preprint arXiv:1803.05820, 2018	74	2018
Human and machine judgements for Russian semantic relatedness A Panchenko, D Ustalov, N Arefyev, D Paperno, N Konstantinova, ... Analysis of Images, Social Networks and Texts: 5th International Conference …, 2017	74	2017
Overview of touché 2021: argument retrieval A Bondarenko, L Gienapp, M Fröbe, M Beloucif, Y Ajjour, A Panchenko, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th …, 2021	69	2021
Overview of Touché 2020: argument retrieval A Bondarenko, M Fröbe, M Beloucif, L Gienapp, Y Ajjour, A Panchenko, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 11th …, 2020	68	2020
A graph-based approach to skill extraction from text I Kivimäki, A Panchenko, A Dessy, D Verdegem, P Francq, H Bersini, ... Proceedings of TextGraphs-8 graph-based methods for natural language …, 2013	59	2013
Watset: Automatic induction of synsets from a graph of synonyms D Ustalov, A Panchenko, C Biemann arXiv preprint arXiv:1704.07157, 2017	53	2017
Unsupervised does not mean uninterpretable: The case for word sense induction and disambiguation A Panchenko, E Ruppert, S Faralli, SP Ponzetto, C Biemann Proceedings of the 15th Conference of the European Chapter of the …, 2017	50	2017
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings R Aly, S Acharya, A Ossa, A Köhn, C Biemann, A Panchenko arXiv preprint arXiv:1906.02002, 2019	45	2019
RUSSE'2018: a shared task on word sense induction for the Russian language A Panchenko, A Lopukhina, D Ustalov, K Lopukhin, N Arefyev, ... arXiv preprint arXiv:1803.05795, 2018	45	2018
A semantic similarity measure based on lexico-syntactic patterns. A Panchenko, O Morozova, H Naets KONVENS, 174-178, 2012	44	2012
Building a web-scale dependency-parsed corpus from CommonCrawl A Panchenko, E Ruppert, S Faralli, SP Ponzetto, C Biemann arXiv preprint arXiv:1710.01779, 2017	43	2017
Similarity measures for semantic relation extraction A Panchenko Université catholique de Louvain, 2013	39	2013
A study of hybrid similarity measures for semantic relation extraction A Panchenko, O Morozova Proceedings of the Workshop on Innovative Hybrid Approaches to the …, 2012	37	2012
Improving neural entity disambiguation with graph embeddings Ö Sevgili, A Panchenko, C Biemann Proceedings of the 57th annual meeting of the association for computational …, 2019	36	2019
Negative sampling improves hypernymy extraction based on projection learning D Ustalov, N Arefyev, C Biemann, A Panchenko arXiv preprint arXiv:1707.03903, 2017	35	2017
Evaluating three corpus-based semantic similarity systems for Russian P AI, L OO Dialog 28, 2015	35	2015

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