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 …

We present RuDSI, a new benchmark for word sense induction (WSI) in Russian. The
dataset was created using manual annotation and semi-automatic clustering of Word Usage …

This paper describes the results of the first shared task on taxonomy enrichment for the
Russian language. The participants were asked to extend an existing taxonomy with …

Research on clustering algorithms in synonymy graphs of a single language yields
promising results, however, this idea is not yet explored in a multilingual setting …

Abstract Knowledge graphs such as DBpedia, Freebase or Wikidata always contain a
taxonomic backbone that allows the arrangement and structuring of various concepts in …

Ontologies, taxonomies, and thesauri are used in many NLP tasks. However, most studies
are focused on the creation of these lexical resources rather than the maintenance of the …

We present a sense-annotated corpus for Russian. The resource was obtained my manually
annotating texts from the OpenCorpora corpus, an open corpus for the Russian language …

We present the types or multiword expressions included into the thesaurus or Russian
language RuThes. Maoy of these expressions may look like compositiomd expressions but …

This paper introduces an adaptation of the open source ReaderBench framework that now
supports Russian multilevel analyses of text characteristics, while integrating both textual …

In this paper, we present Watasense, an unsupervised system for word sense
disambiguation. Given a sentence, the system chooses the most relevant sense of each …