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- Alexander Panchenko, Dmitry Ustalov, +4 authors Christian Biemann
- AIST
- 2016
Semantic relatedness of terms represents similarity of meaning by a numerical score. On the one hand, humans easily make judgements about semantic relatedness. On the other hand, this kind of… (More)
The paper gives an overview of the Russian Semantic Similarity Evaluation (RUSSE) shared task held in conjunction with the Dialogue 2015 conference. There exist a lot of comparative studies on… (More)
This paper presents a new graph-based approach that induces synsets using synonymy dictionaries and word embeddings. First, we build a weighted graph of synonyms extracted from commonly available… (More)
YARN (Yet Another RussNet), a project started in 2013, aims at creating a large open WordNet-like thesaurus for Russian by means of crowdsourcing. The first stage of the project was to create noun… (More)
- Pavel Braslavski, Dmitry Ustalov, Mikhail Mukhin
- EACL
- 2014
YARN (Yet Another RussNet) project started in 2013 aims at creating a large open thesaurus for Russian using crowdsourcing. This paper describes synset assembly interface developed within the project… (More)
- Alexander Panchenko, Fide Marten, +4 authors Christian Biemann
- EMNLP
- 2017
Interpretability of a predictive model is a powerful feature that gains the trust of users in the correctness of the predictions. In word sense disambiguation (WSD), knowledge-based systems tend to… (More)
We present a new approach to extraction of hypernyms based on projection learning and word embeddings. In contrast to classification-based approaches, projection-based methods require no candidate… (More)
- Alexander Panchenko, Anastasiya Lopukhina, +4 authors Natalia V. Loukachevitch
- ArXiv
- 2018
The paper describes the results of the first shared task on word sense induction (WSI) for the Russian language. While similar shared tasks were conducted in the past for some Romance and Germanic… (More)
Graph-based synset induction methods, such as MaxMax and Watset, induce synsets by performing a global clustering of a synonymy graph. However, such methods are sensitive to the structure of the… (More)
- Dmitry Ustalov, Yuri Kiselev
- 2015 9th International Conference on Application…
- 2015
Thesaurus is a crucial resource for many natural language processing and artificial intelligence problems, which require common sense reasoning. It is becoming highly topical to put special effort to… (More)