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Unsupervised Induction of Linguistic Structures from Text
April 22, 2022 @ 7:00 pm - 9:00 pm +04
About the Event:
In this talk, the speaker discusses how graph clustering algorithms can be applied to large lexical networks to induce word sense representation and other structures. More specifically, you will look at several algorithms: Chinese Whispers, Markov Clustering, and Watset, and discover various applications to linguistic data. Finally, the speaker will briefly discuss how the extracted graph structures can be vectorized using graph embeddings and other related approaches.
About the Speaker:
Dr. Alexander Panchenko is an Assistant Professor at Skolkovo Institute of Science and Technology (Skoltech) since 2019, leading the NLP group and a joint MTS-Skoltech laboratory. Before that was a Postdoc at the University of Hamburg and TU Darmstadt in Germany. 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. He received his Ph.D. in Computational Linguistics from the Université catholique de Louvain, Belgium.
Alexander (co-)authored more than 100 peer-reviewed research publications, including papers in top-tier conference proceedings, such as ACL, WSDM, and EMNLP and journals, e.g., COLI and NLE. He received (with co-authors) the best paper awards at the “Representation Learning for NLP” workshop. He co-organized over a dozen shared tasks and workshops at local and international NLP conferences and a leading research conference in Russia on the analysis of images, social networks, and texts (AIST) with proceedings at Springer LNCS.
Language: English
