Developing Russian lexical relations database

Goals

• evaluate distributional models against predicting lexical relations;
• automatically compile large-scale relations database.

Approach

Lexical relations are represented as linear transformation between headword and argument spaces. Test samples are available at data/ folder.

We experiment with various distributional models from RusVectōrēs.

Linear transformation is fitted with lexical functions data (see SynTagRus corpus) and Verbal combinatory dictionary

References

1. Enikeeva E., Mitrofanova O. (2017) Russian Collocation Extraction based on Word Embeddings. In: Computational Linguistics and Intellectual Technologies. Proceedings of the International Conference «Dialogue 2017». Issue 16. Vol. 1. Moscow. Pp. 52–64.
2. Mel’čuk, I., Zholkovsky A.(1984) Explanatory Combinatorial Dictionary of Modern Russian [Tolkovo-kombinatornyj slovar russkogo jazyka]. Vienna, 1984.
3. Rodríguez-Fernández S., Anke L., Carlini R., Wanner L. (2016) Semantics-driven recognition of collocations using word embeddings, Proceedings of the 2016 Annual Meeting of the Association for Computational Linguistics (ACL), Berlin, Germany.