alexanderpanchenko

Alexander Panchenko

Dr.Panchenko served as a Postdoctoral Researcher in the Language Technology Group at the University of Hamburg, Germany. His background is almost a decade of research and developments in the field of NLP. He worked on a range of problems and tasks, such as semantic relatedness, word sense disambiguation, and induction, sentiment analysis, gender detection, taxonomy induction, etc. Prior to the appointment in Hamburg, Alexander was a a Postdoctoral Researcher at TU Darmstadt. He received his PhD in Computational Linguistics from the Universite catholique de Louvain, Belgium. Alexander is interested in representation learning, distributional semantics and word sense induction and disambiguation. He has (co-)authored more than 40 peer-reviewed research publications, including papers in top-tier conference proceedings, such as ACL, EMNLP, EACL, and ECIR. He received (with co-authors) the best paper award at the `Representation Learning for NLP’ (RepL4NLP) workshop at ACL 2016. Dr. Panchenko co-organised two shared tasks on semantic relatedness and word sense induction evaluation for the Russian language (RUSSE’15 and RUSSE’18). He is a founding co-editor of a data science conference on Analysis of Social Networks, Images, and Texts (AIST) with the proceedings published in Springer LNCS series.

His fields of expertise and research interests include Statistical Natural Language Processing, Distributional Semantics, Machine Learning applied to Natural Language Processing and Social Network Analysis, Information Retrieval and Semantic Web.

Since April 2019, Dr.Panchenko  serves as an Assistant Professor Skoltech Center for Computational and Data-Intensive Science and Engineering.

(Selected)

[1] Panchenko A., Fide M., Ruppert E., Faralli S., Ustalov D., Ponzetto S.P., Biemann C. (2017): Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation. In Proceedings of the EMNLP. Copenhagen, Denmark.

[2] Ustalov D., Panchenko A., Biemann C. (2017). Watset: Automatic Induction of Synsets from a Graph of Synonyms. In Proceedings of ACL. Vancover, Canada.

[3] Ustalov D., Arefyev N., Biemann C., Panchenko A. (2017): Negative Sampling Improves Hypernymy Extraction Based on Projection Learning. In Proceedings of the EACL. Valencia, Spain

[4] Panchenko A., Ruppert E., Faralli S., Ponzetto S. P., and Biemann C. (2017): Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation. In Proceedings of the EACL. Valencia, Spain

[5] Faralli S., Panchenko A., Biemann C., Ponzetto S. P. (2016): Linked Disambiguated Distributional Semantic Networks. In Proceedings of the 15th International Semantic Web Conference (ISWC 2016). pp. 56-64, Kobe, Japan. Lecture Notes in Computer Science, Springer

[6] Yimam S.M., Ulrich H., von Landesberger T., Rosenbach M., Regneri M., Panchenko A., Lehmann F., Fahrer U., Biemann C. Ballweg K. (2016): new/s/leak – Information Extraction and Visualization for Investigative Data Journalists. In Proceedings of the ACL. Berlin, Germany

[7] Pelevina M., Arefyev N., Biemann C., Panchenko A. (2016): Making Sense of Word Embeddings. In Proceedings of the 1st Workshop on Representation Learning for NLP co-located with the ACL conference. Berlin, Germany. Best paper award

[8] Panchenko A., Faralli S., Ruppert E., Remus S., Naets H., Fairon C. Ponzetto S. P., and Biemann, C. TAXI: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling. In Proceedings of the 10th International Workshop on Semantic Evaluation, Association for Computational Linguistics, San Diego, CA, USA, 2016 Top rank at the SemEval

[9] Panchenko A. (2016). Best of Both Worlds: Making Word Sense Embeddings Interpretable. In Proceedings of LREC 2016, Portorož, Slovenia

[10]Kivimaki I., Panchenko A., Dessy A. Verdegem D., Francq P., Fairon C., Bersini H., Saerens M. A Graph-Based Approach to Skill Extraction from Text. In Proceedings of TextGraphs-8 Workshop. In Empirical Methods for Natural Language Processing (EMNLP 2013). Seattle, USA. 2013

[11] Panchenko A., Romanov P., Morozova O., Naets H., Romanov A., Philippovich A., Fairon C.”Serelex: Search and Visualization of Semantically Similar Words” . In Proceedings of the 35th European Conference on Information Retrieva (ECIR). LNCS 7814, pp. 837-840. SpringlerVerlag Berlin Heidelberg, 2013.

[12]Panchenko A., Morozova O., Naets H. “ A Semantic Similarity Measure Based on LexicoSyntactic Patterns.” In Conference on Natural Language Processing (KONVENS), — Vienna (Austria), pp.174–178, 2012

Monographs

  • Alexander Panchenko (2013): Similarity Measures for Semantic Relation Extraction, Thesis, Université de Louvain
  • Alexander Panchenko (2008): Automatic Thesaurus Construction System, Graduation Thesis, Moscow State Technical University (BMSTU)

Edited Volumes

  • van der Aalst, W.M.P., Ignatov, D.I., Khachay, M., Kuznetsov, S.O., Lempitsky, V., Lomazova, I.A., Loukachevitch, N., Napoli, A., Panchenko, A., Pardalos, P.M., Savchenko, A.V., Wasserman, S. (Eds.) (2017) The 6th International Conference on Analysis of Images, Social Networks and Texts (AIST’2017), Moscow, Russia, July 27–29, 2017, Revised Selected Papers. Springer Lecture Notes in Computer Science (LNCS). Springer
  • Ignatov, D.I., Khachay, M.Y., Labunets, V.G., Loukachevitch, N., Nikolenko, S., Panchenko, A., Savchenko, A.V., Vorontsov, K. (Eds.) (2016) The 5th International Conference on Analysis of Images, Social Networks and Texts (AIST’2016), Yekaterinburg, Russia, April 7-9, Revised Selected Papers. Communications in Computer and Information Science. Springer Heidelberg Dordrecht London New York.
  • Baixeries J., Ignatov D.I., Ilvovsky D., Panchenko A. (Eds.) (2016) The 3rd International Workshop on Concept Discovery in Unstructured Data (CDUD’2016) co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), July 18, 2016, Moscow, Russia. CEUR-Workshop, Vol. 1625, ISSN 1613-0073.
  • Ignatov D.I., Khachay M.Y., Labunets V.G., Loukachevitch N., Nikolenko S., Panchenko A., Savchencko A.V., Vorontosov K.V. (2016) Supplementary Proceedings of the Fifth International Conference on Analysis of Images, Social Networks Texts (AIST-SUP 2016). Yekaterinburg, Russia, April 6-8, 2016. CEUR-WS, Vol 1710. ISSN 1613-0073
  • Khachay, M.Y., Konstantinova, N., Panchenko, A., Ignatov, D.I., Labunets, V.G. (Eds.) (2015) The 4th International Conference on Analysis of Images, Social Networks and Texts(AIST’2014), Yekaterinburg, Russia, April 9-11, Revised Selected Papers. Communications in Computer and Information Science. Springer Heidelberg Dordrecht London New York.
  • Ignatov, D.I., Khachay, M.Y., Panchenko, A., Konstantinova, N., Yavorsky, R.E. (Eds.) (2014). The 3rd International Conference on Analysis of Images, SocialNetworks Texts(AIST’2014), Yekaterinburg, Russia, April 10-12, Revised Selected Papers.Communications in Computer and Information Science. Springer Heidelberg Dordrecht London New York.

 

Journal articles

  • Biemann, C., Faralli, S., Panchenko, A., Ponzetto, S.P. (2018): A framework for enriching lexical semantic resources with distributional semantics. Journal of Natural Language Engineering, published online Jan 15, 2018 Conference proceedings
  • Panchenko, A., Ruppert, E., Faralli, S., Ponzetto, S.P., Biemann, C. (2018): Building a WebScale Dependency-Parsed Corpus from Common Crawl. Proceedings of LREC 2018, Myazaki, Japan
  • Ustalov, D., Teslenko, D., Panchenko, A., Chernoskutov, M., Biemann, C., Ponzetto, S.P. (2018): An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages. Proceedings of LREC 2018, Myazaki, Japan
  • Faralli, S., Panchenko, A., Biemann, C., Ponzetto, S.P. (2018): Enriching Frame Representations with Distributionally Induced Senses. Proceedings of LREC 2018, Myazaki, Japan
  • Panchenko, A., Ustalov, D., Faralli, S., Ponzetto, S.P., Biemann, C. (2018): Improving Hypernymy Extraction with Distributional Semantic Classes. Proceedings of LREC 2018, Myazaki, Japan
  • Panchenko A., Fide M., Ruppert E., Faralli S., Ustalov D., Ponzetto S.P., Biemann C. (2017): Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation. In Proceedings of Conference on Empirical Methods on Natural Language Processing (EMNLP). Copenhagen, Denmark. Association for Computational Linguistics
  • Ustalov D., Chernoskutov M., Biemann C., Panchenko A.: Fighting with the Sparsity of Synonymy Dictionaries. In Proceedings of the 6th Conference on Analysis of Images, Social Networks, and Texts (AIST’2017): Springer Lecture Notes in Computer Science (LNCS). Moscow, Russia
  • Ustalov D., Panchenko A., Biemann C. (2017): : Automatic Induction of Synsets from a Graph of Synonyms. In Proceedings of the 55th Meeting of the Association for Computational Linguistics (ACL’2017). Vancouver, Canada. Association for Computational Linguistics
  • Ustalov D., Arefyev N., Biemann C., Panchenko A. (2017): Negative Sampling Improves Hypernymy Extraction Based on Projection Learning. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL’2017). Valencia, Spain. Association for Computational Linguistics
  • Faralli S., Panchenko A., Biemann C., and Ponzetto S. P. (2017): The ContrastMedium Algorithm: Taxonomy Induction From Noisy Knowledge Graphs With Just A Few Links. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL’2017). Valencia, Spain. Association for Computational Linguistics.
  • Panchenko A., Ruppert E., Faralli S., Ponzetto S. P., and Biemann C. (2017): Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL’2017). Valencia, Spain. Association for Computational Linguistics.
  • Faralli S., Panchenko A., Biemann C., Ponzetto S. P. (2016): Linked Disambiguated Distributional Semantic Networks. In Proceedings of the 15th International Semantic Web Conference (ISWC 2016). pp. 56-64, Kobe, Japan. Lecture Notes in Computer Science, Springer International Publishing
  • Ustalov D., Panchenko A. (2016): Learning Word Subsumption Projections for the Russian Language. In Proceedings of the International Conference on Big Data and its Applications (ICBDA 2016). ITM Web of Conferences. Vol. 8. P.01006. dx.doi.org/10.1051/itmconf/20160801006
  • Panchenko A., Simon J., Riedl M., Biemann C. (2016): Noun Sense Induction and Disambiguation using Graph-Based Distributional Semantics. In Proceedings of the 13th Conference on Natural Language Processing (KONVENS’2016). Bochum, Germany. Bochumer Linguistische Arbeitsberichte (BLA)
  • Yimam S.M., Ulrich H., von Landesberger T., Rosenbach M., Regneri M., Panchenko A., Lehmann F., Fahrer U., Biemann C. Ballweg K. (2016): new/s/leak – Information Extraction and Visualization for Investigative Data Journalists. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL). System Demonstrations. Berlin, Germany. Association for Computational Linguistics
  • Panchenko A. (2016): Best of Both Worlds: Making Word Sense Embeddings Interpretable. In Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC’2016), Portorož, Slovenia. European Language Resources Association (ELRA)
  • Panchenko A., Ustalov D., Arefyev N., Paperno D. Konstantinova N., Loukachevitch N. and Biemann C. (2016): Human and Machine Judgements about Russian Semantic Relatedness. In Proceedings of the 5th Conference on Analysis of Images, Social Networks, and Texts (AIST’2016). Communications in Computer and Information Science (CCIS). Springer-Verlag Berlin Heidelberg
  • Panchenko A., Babaev D., and Objedkov S. (2015): Large-Scale Parallel Matching of Social Network Profiles. In Proceedings of 4th Conference on Analysis of Images, Social Networks, and Texts. Yekaterinburg, Russia. Communications in Computer and Information Science (CCIS). Springer-Verlag Berlin Heidelberg
  • Panchenko A., Loukachevitch N. V., Ustalov D., Paperno D., Meyer C. M., Konstantinova N. (2015): RUSSE: The First International Workshop on Russian Semantic Similarity. In Proceedings of the 21st International Conference on Computational Linguistics and Intellectual Technologies (Dialogue’2015). Moscow, Russia. RGGU
  • Arefyev N., Panchenko A., Lukanin A., Lesota O., Romanov P. (2015): Evaluating Three Corpus-Based Semantic Similarity Systems for Russian. In Proceedings of the 21st International Conference on Computational Linguistics and Intellectual Technologies (Dialogue’2015). Moscow, Russia. RGGU
  • Panchenko A. (2014): Sentiment Index of the Russian Speaking Facebook. In Proceedings of the 20th International Conference on Computational Linguistics and Intellectual Technologies (Dialogue’2014). Moscow, Russia. RGGU
  • Panchenko A., Muraviev N., Objedkov S. (2014): Neologisms on Facebook. In Proceedings of the 20th International Conference on Computational Linguistics and Intellectual Technologies (Dialogue’2014). Moscow, Russia. RGGU
  • Panchenko A., Teterin A. (2014): Gender Detection by Full Name: Experiments with the Russian Language. In Proceedings of 3rd Conference on Analysis of Images, Social Networks, and Texts. Communications in Computer and Information Science (CCIS) Volume 436, pp.169-182. Springer-Verlag Berlin Heidelberg
  • Panchenko A., Naets H., Brouwers L., Romanov P., Fairon C. (2013): Recherche et visualization de mots sémantiquement liés. In Proceedings of the 20th French Conference on Natural Language Processing (Conférence le Traitement Automatique des Langues Naturelles, TALN’2013). Les Sables d’Olonne, France. pp.747–754. Association pour le Traitement Automatique des Langues (ATALA)
  • Panchenko A., Naets H., Beaufort R., Fairon C. (2013): Towards Detection of Child Sexual Abuse Media: Classification of the Associated Filenames. In Proceedings of the 35th European Conference on Information Retrieval (ECIR’2013). Lecture Notes in Computer Science (LNCS) vol. 7814, pp. 776-779. Springer-Verlag Berlin Heidelberg
  • Panchenko A., Romanov P., Morozova O., Naets H., Romanov A., Philippovich A., Fairon C. (2013): Serelex: Search and Visualization of Semantically Similar Words. In Proceedings of the 35th European Conference on Information Retrieval (ECIR’2013). Lecture Notes in Computer Science (LNCS) vol. 7814, pp. 837-840. Springer-Verlag Berlin Heidelberg
  • Panchenko A., Morozova O., Naets H. (2012): A Semantic Similarity Measure Based on Lexico-Syntactic Patterns. In Proceedings of the 11th Conference on Natural Language Processing (KONVENS’2012). pp.174–178. Vienna, Austria. Österreichische Gesellschaft für Artificial Intelligence (ÖGAI)
  • Panchenko A. (2012): A Study of Heterogeneous Similarity Measures for Semantic Relation Extraction. In Proceedings of 14th French Conference on Natural Language Processing (JEPTALN-RECITAL). Grenoble, France. Association pour le Traitement Automatique des Langues (ATALA) Workshop proceedings
  • Panchenko A., Faralli S., Ponzetto S. P., and Biemann C. (2017): Using Linked Disambiguated Distributional Networks for Word Sense Disambiguation. In Proceedings of the Workshop on Sense, Concept and Entity Representations and their Applications (SENSE) colocated with the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL’2017). Valencia, Spain. Association for Computational Linguistics
  • Pelevina M., Arefyev N., Biemann C., Panchenko A. (2016): Making Sense of Word Embeddings. In Proceedings of the 1st Workshop on Representation Learning for NLP colocated with the ACL conference. Berlin, Germany. Association for Computational Linguistics
  • Ballweg K., Zouhar F., Wilhelmi-Dworski P., von Landesberger T., Fahrer U., Panchenko A., Yimam S.M. Biemann C., Regneri M., Ulrich H. (2016): new/s/leak – A Tool for Visual Exploration of Large Text Document Collections in the Journalistic Domain. Workshop on Visualisation in Practice co-located with the VIS conference, Baltimore, MD, USA
  • Panchenko A., Faralli S., Ruppert E., Remus S., Naets H., Fairon C. Ponzetto S. P., and Biemann, C. (2016): TAXI at SemEval-2016 Task 13: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling. In Proceedings of the 10th International Workshop on Semantic Evaluation. San Diego, CA, USA. Association for Computational Linguistics
  • Kivimaki I., Panchenko A., Dessy A. Verdegem D., Francq P., Fairon C., Bersini H., Saerens
  1. (2013): A Graph-Based Approach to Skill Extraction from Text. In Proceedings ofTextGraphs-8 Workshop co-located with the Conference on Empirical Methods for Natural Language Processing (EMNLP’2013). Seattle, USA. Association for Computational Linguistics
  • Panchenko A. Morozova O. (2012): A Study of Hybrid Similarity Measures for Semantic Relation Extraction. In Proceedings of Workshop Innovative Hybrid Approaches to the Processing of Textual Data Workshop co-located with the EACL’2012 conference, pp.10-18, Avignon, France. Association for Computational Linguistics
  • Panchenko A, Beaufort R., Fairon C. (2012): Detection of Child Sexual Abuse Media on P2P Networks: Normalization and Classification of Associated Filenames. In Proceedings of Workshop on Language Resources for Public Security Applications of the 8th International Conference on Language Resources and Evaluation (LREC). European Language Resources Association (ELRA)
  • Panchenko A., Adeykin S., Romanov P., Romanov A. (2012): Extraction of Semantic Relations between Concepts with KNN Algorithms on Wikipedia. In Proceedings of Concept Discovery in Unstructured Data (CDUD) workshop co-located with the International Conference On Formal Concept Analysis (ICFCA’2012), pp.78-88, Leuven, Belgium. CEUR-WS
  • Panchenko A. (2012): Towards an Efficient Combination of Similarity Measures for Semantic Relation Extraction. Abstract in Proceedings of the 22nd Meeting of Computational Linguistics in the Netherlands (CLIN 22). Tilburg, The Netherlands. Tilgurg University
  • Panchenko A. (2011): Comparison of the Knowledge-, Corpus-, and Web-based Similarity Measures for Semantic Relations Extraction. In Proceedings of the Workshop GEometrical Models of Natural Language Semantics (GEMS) co-located with the EMNLP’2011 conference.pp.10-18. Edinburgh, Scotland. Association for Computational Linguistics
  • Panchenko A. (2010): Can We Automatically Reproduce Semantic Relations of an Information Retrieval Thesaurus?. In Proceedings of the Young Scientists Conference of the 4th Russian Summer School in Information Retrieval (RuSSIR’2010). pp.36–51. Voronezh, Russia. VSU

 

Best paper award “The First Representation Learning for Natural Language Processing” Workshop at the ACL 2016 conference for the paper “Makings sense of word embeddings”.

Best paper award of Fraunhofer IGD and Visual Computing Groups of TU Darmstadt in the category “Impact on the society” for the paper “new/s/leak – Information Extraction and Visualization for Investigative Data Journalists”