6. Computational semantics

Projects

• http://lm.ll-cl.org/ (Predictability of word forms from the LSTM language model; co-author)

• http://sensefreq.ruslang.ru/ (Automated word sense frequency estimation for Russian; co-author)

• http://adagram.ll-cl.org/about (Word sense induction for Russian; with regular polysemy patterns detection; co-author)

• https://russe.nlpub.org/2018/wsi/ (Competition on word sense induction RUSSE 2018; co-organizer)

• http://russe.nlpub.ru/ (Best results in the Russian Semantic Similarity Evaluation RUSSE 2015; participant)

Research papers

1. Lopukhina, A., Lopukhin, K., & Nosyrev, G. (2017). Automated word sense frequency estimation for Russian nouns. In: Quantitative Approaches to the Russian Language. P. 89-104. https://doi.org/10.4324/9781315105048

2. Lopukhina A., Lopukhin, K. (2017). Word Sense Frequency Estimation for Russian: Verbs, Adjectives, and Different Dictionaries. In: Electronic lexicography in the 21st century. Proceedings of eLex 2017 conference. Brno: Lexical Computing CZ s.r.o. P. 267-280.

3. Iomdin, B., Lopukhina, A., Lopukhin, K., & Nosyrev, G. (2016). Word sense frequency of similar polysemous words in different languages. In: Computational Linguistics and Intellectual Technologies. Dialogue. P. 214-225. http://www.dialog-21.ru/media/3395/iomdinbletal.pdf

4. Lopukhin, K., & Lopukhina, А. (2016). Word sense disambiguation for Russian verbs using semantic vectors and dictionary entries. In: Computational Linguistics and Intellectual Technologies. Dialogue. P. 393-405. http://www.dialog-21.ru/media/3408/lopukhinkalopukhinaaa.pdf

5. Lopukhina, A., & Lopukhin, К. (2016). Regular polysemy: from sense vectors to sense patterns. In: The 26th International Conference on Computational Linguistics (COLING 2016). P. 19-23. https://aclanthology.org/W16-5303/

6. Lopukhina A., Lopukhin, K., Iomdin B., Nosyrev, G. (2016). The Taming of the Polysemy: Automated Word Sense Frequency Estimation for Lexicographic Purposes. In: Proceedings of the XVII EURALEX International Congress. Lexicography and Linguistic Diversity (6 – 10 September 2016). Tbilisi: Ivane Javakhishvili Tbilisi State University.

7. Lopukhin, K., Lopukhina A., Nosyrev, G. (2015). The Impact of Different Vector Space Models and Supplementary Techniques on Russian Semantic Similarity Task. In: Computational Linguistics and Intellectual Technologies. Dialogue, 2(14). P. 145-154. https://www.dialog-21.ru/digests/dialog2015/materials/pdf/LopukhinKAetal.pdf

8. Iomdin, B., Lopukhina A., Nosyrev, G. (2014). Towards a Word Sense Frequency Dictionary. In: Computational Linguistics and Intellectual Technologies. Dialogue, 13. P. 204-229. In Russian. https://www.dialog-21.ru/digests/dialog2014/materials/pdf/IomdinBL.pdf