• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Laboratory for Models and Methods of Computational Pragmatics

Publications
Article
Temporal network embedding framework with causal anonymous walks representations

Makarov I., Savchenko A., Arseny Korovko et al.

PeerJ Computer Science. 2022. Vol. 8.

Book chapter
Identifying Argumentative Questions in Web Search Logs

Ajjour Y., Braslavski P., Bondarenko A. et al.

In bk.: SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), 2022. P. 2393-2399.

Working paper
Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data In press

Ignatov D. I., Khvorykh G. V., Khrunin A. V. et al.

Lecture Notes in Computer Science. LNCS. Springer, 2020

About the Laboratory

The area of expertise of Lab is unstructured data analysis. We study recommending systems and services, develop methods for multimodal clustering and classification that allow profiling user interests based on various modalities. We do not treat data mining and machine learning models as black boxes and focus on developing interpretable algorithms.
We work in natural language processing (NLP). The focus of research lies in such areas as question-answering and information extraction. The Laboratory examines learning methods, in particular, transfer learning and domain adaptation techniques in multilingual settings, and applies these methods in practice. The Laboratory advances digital Russian studies by creating new annotated data sources, that represent society changes and such complex phenomena as education and economy digitalization.


Illustration for news: Nikolay Arefyev and Maxim Rachinskiy took the 1st place at LSCDiscover

Nikolay Arefyev and Maxim Rachinskiy took the 1st place at LSCDiscover

Illustration for news: Dmitry Ignatov had a talk on FCS's Colloquium meeting

Dmitry Ignatov had a talk on FCS's Colloquium meeting

Illustration for news: Faculty's Researchers to Present at EMNLP 2021

Faculty's Researchers to Present at EMNLP 2021

The annual Conference on Empirical Methods in Natural Language Processing (EMNLP) takes place on November 7-11, 2021.

Our Lab held the RuREBus shared task

More information about the corpus, types of relations and entities can be found in the repository of competition, which we held at the Dialog 2020 conference on RuREBus data.