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Regular version of the site
Important announcements 1

Laboratory for Models and Methods of Computational Pragmatics

Publications
Article
SEHP: stacking-based ensemble learning on novel features for review helpfulness prediction

Malik M. S., Nawaz A.

Knowledge and Information Systems. 2024. Vol. 66. P. 653-679.

Book chapter
You Told Me That Joke Twice: A Systematic Investigation of Transferability and Robustness of Humor Detection Models

Baranov A. M., Kniazhevskii V., Braslavski P.

In bk.: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Singapore: Association for Computational Linguistics, 2023. P. 13701-13715.

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: Laboratory staff made presentations at a conference at the Higher School of Economics

Laboratory staff made presentations at a conference at the Higher School of Economics

Employees of the Laboratory for Models and Methods of Computational Pragmatics took part in the conference “Recommender Systems in Research and Industrial Applications”

Illustration for news: Pavel Braslavski became the winner of the Yandex ML Prize

Pavel Braslavski became the winner of the Yandex ML Prize

Congratulations to Pavel Braslavski, a senior researcher at the laboratory, who became a laureate of the Yandex ML Prize (formerly the Ilya Segalovich Prize) in the scientific supervisors category.

Illustration for news: The research fellow at the Laboratory of Models and Methods of Computational Pragmatics defended her dissertation for the degree of Doctor of Science

The research fellow at the Laboratory of Models and Methods of Computational Pragmatics defended her dissertation for the degree of Doctor of Science

Congratulations to Elena Tutubalina on being awarded the degree of Doctor of Computer Science!

Illustration for news: XXV International Conference Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2023)

XXV International Conference Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2023)

October 24-27, the Laboratory for Models and Methods of Computational Pragmatics, together with the Department of Data Analysis and Artificial Intelligence, Federal Research Center Institute of Management of the Russian Academy of Sciences and the Moscow Section of ACM SIGMOD, held the XXV conference “Data Analytics and Management in Data Intensive Domains” (DAMDID/RCDL 2023).

Illustration for news: Members of MMCP Lab took part in AIST 2023

Members of MMCP Lab took part in AIST 2023

On September 29-30, the 11th International Conference on Image, Social Network and Text Analysis AIST 2023 was held at the College of Science and Technology of the American University of Armenia.

Illustration for news: Muhammad Shahid Iqbal Malik presented the report at Lab's seminar

Muhammad Shahid Iqbal Malik presented the report at Lab's seminar

MMCP postdoc Muhammad Shahid Iqbal Malik presented his report at the traditional laboratory seminar.

Illustration for news: Dmitry I. Ignatov presented his report at NTR company webinar

Dmitry I. Ignatov presented his report at NTR company webinar

On November 15, 2022  Dmitry Ignatov - laboratory Head at Laboratory for Models and Methods of Computational Pragmatics, associate Professor at School of Data Analysis and Artificial Intelligence took part in NTR company webinar.

In the talk, the speaker explained how Data Mining and Formal Concept Analysis can help to solve combinatorial problems from Lattice Theory and establish connections between seemingly unrelated algebraic objects. 

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

The laboratory members took 1st place in the LSCDiscovery.

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

Dmitry Ignatov had a talk on FCS's Colloquium meeting

MMCP Lab Head presented the report at FCS colloquium.

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.