Clause Linkers for the Ruscon Database: Selecting Criteria and Statistical Evaluation
The study is devoted to compiling a list of clause linkers, or connectives, for the database Ruscon (available at http://ruscon.belyaev.io/).It is aimed at differentiating between complex connectives (like a ne to 'else') and occasional combinations of connectives (a vsledstvie etogo 'and henceforth').There is a large number of cases when phonetic, morphosyntactic and semantic properties of connectives do not permit to make this differentiation.In these cases we propose to use the MMI metric (Modified Mutual Information).It rests on the rule of probability multiplication, which allows to estimate the probability of independent events.
Authors
- И.М. Кобозева (ORCID: https://orcid.org/0000-0003-4214-2878)
- Natalia Serdobolskaya (ORCID: https://orcid.org/0000-0003-2417-5537)
- Svetlana Timoshenko (ORCID: https://orcid.org/0000-0002-6700-1644)
Publication Details
- Journal
- Computational Linguistics and Intellectual Technologies
- Published
- 2025-01-01
- DOI
- https://doi.org/10.28995/2075-7182-2025-23-407-415
- Primary Topic
- Data Management and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00