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) 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.  Ustalov D., Panchenko A., Biemann C. (2017). Watset: Automatic Induction of Synsets from a Graph of Synonyms. In Proceedings of ACL. Vancover, Canada.  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  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  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  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  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  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  Panchenko A. (2016). Best of Both Worlds: Making Word Sense Embeddings Interpretable. In Proceedings of LREC 2016, Portorož, Slovenia 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  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. 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
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”