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| [[http://dsmodels.nlp.ipipan.waw.pl|DSmodels]] - web service for calculating word similarity using Polish word embeddings | [[http://dsmodels.nlp.ipipan.waw.pl/sim1.html|DSmodels]] - web service for calculating word similarity using Polish word embeddings |
CoDeS project
Project factsheet
English name: |
Compositional distributional semantic models for identification, discrimination and disambiguation of senses in Polish texts |
Polish name: |
Wykorzystanie metod kompozycyjnej semantyki dystrybucyjnej do identyfikacji i rozróżniania znaczeń w języku polskim |
Project type: |
A National Science Centre grant 2014/15/B/ST6/05186 |
Duration: |
Aug 2015 ‒ Aug 2018 |
Project Web page: |
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Principal investigator: |
Agnieszka Mykowiecka |
Project summary
The general aim of the project is to evaluate existing methods and devise new techniques of computational distributional semantics (CDS) in the area of discrimination and disambiguation of senses for Polish. One of the basic problems which has to be solved while analyzing natural language utterances is semantic ambiguity of their elements. Our goal is to elaborate methods determining the meaning of a particular word in the context in which it appears and methods for automatic detection if a word is used in more than one sense in an analyzed text. We want to focus our attention on noun-adjectives constructions and investigate how the meaning of a whole phrase may contribute to creation of sense models for its elements. We also plan to extend these methods to recognize words or phrases which are not used in their literal sense but figuratively. One of the project’s goal is to look for answers for some of general questions, for example, to what degree we will be able to describe sense differences using CDS methods, and which types of models are better suited for such a task and Polish data.
Resources
Polish word embeddings http://dsmodels.nlp.ipipan.waw.pl/ (A. Mykowiecka, M. Marciniak, P. Rychlik, 2017)
DSmodels - web service for calculating word similarity using Polish word embeddings
The list of 1600 sentences annotated with sentiment and metaphor -- download here.
Publications
Mykowiecka, A., M. Marciniak and P. Rychlik (2016) Recognition of non-domain phrases in automatically extracted lists of terms, Proceedings of the 5th International Workshop on Computational Terminology Computerm2016
Wawer, A. and A. Mykowiecka (2017) Supervised and Unsupervised Word Sense Disambiguation on Word Embedding Vectors of Unambiguous Synonyms, Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications, pages 120–125, Valencia, Spain, April 4 2017
Wawer, A. and A. Mykowiecka (2017) Detecting Metaphorical Phrases in the Polish Language, Proc. of the Recent Advances in Natural Language Conference (RANLP), Warna.
- Mykowiecka, A., M. Marciniak and P. Rychlik (2017) Testing word embeddings for Polish, Cogntive Studies (forthcomming)