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Personal profile

Research interests

Hello, I am Alexander, an assistant professor for Natural Language Processing (NLP). My main research interest is computational lexical semantics, including word sense embeddings, word sense induction, extraction of lexical resources, and other related topics. I am also interested in argument mining. More generally, I am interested in neural and statistical natural language processing, information retrieval, knowledge bases, machine learning and intersections/interactions of these fields. You can find the list of my publications below on this page and also at Google Scholar.

I am with the Skoltech since 2019. My background is almost a decade of exciting research and developments in the field of NLP: I worked on a range of problems and tasks, such as semantic relatedness, word sense disambiguation, and induction, sentiment analysis, gender detection, taxonomy induction, etc . Before Skoltech, I was a Postdoctoral researcher in the group of Chris Biemann at the University of Hamburg, Germany.  Prior to the appointment in Hamburg, I had a position of Postdoc at TU Darmstadt. I received my PhD in Computational Linguistics from the Université catholique de Louvain, Belgium. During these years, I (co-)authored more than 40 peer-reviewed research publications, including papers in top-tier conference proceedings, such as ACL, EMNLP, EACL, and ECIR receiving (with co-authors) the best paper awards at the “Representation Learning for NLP” (RepL4NLP) workshop at ACL 2016 and SemEval’2019 competition on “Unsupervised Frame Induction”. I co-organised two shared tasks on semantic relatedness and word sense induction evaluation for the Russian language (RUSSE’15 and RUSSE’18). I served also as a co-editor of a data science conference on Analysis of Social Networks, Images, and Texts (AIST) with the proceedings published in Springer LNCS series.

Academic Reputation and Societal Impact

The group of Alexander Panchenko is a new research group which is focused entirely on research on NLP in Russia. While there are many major industrial and academic labs they are mostly focus on more fundamental parts of machine learning and / or on the linguistic aspects. The group includes full-time PhD studentships which is not common in Russia.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


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