The idea that ambiguity can be productive in data science remains controversial. Efforts to
make scientific publications and data intelligible to computers generally assume that …

Entity set expansion and synonym discovery are two critical NLP tasks. Previous studies
accomplish them separately, without exploring their interdependencies. In this work, we …

Extracting synonyms from dictionaries or corpora is gaining a special attention as synonyms
play an important role in improving NLP application performance. This paper presents a …

Mining entity synonym sets (ie, sets of terms referring to the same entity) is an important task
for many entity-leveraging applications. Previous work either rank terms based on their …

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 …

We present a detailed theoretical and computational analysis of the Watset meta-algorithm
for fuzzy graph clustering, which has been found to be widely applicable in a variety of …

This article explores the principles of synsets in the RuWordNet thesaurus and synonyms in
the classical dictionaries of Russian synonyms (N= 10) to identify discrepancies and …

WordNets built for low-resource languages, such as Assamese, often use the expansion
methodology. This may result in missing lexical entries and missing synonymy relations. As …

Nowadays, wordnets are extensively used as a major resource in natural language
processing and information retrieval tasks. Therefore, the accuracy of wordnets has a direct …

We present Watset, a new meta-algorithm for fuzzy graph clustering. This algorithm creates
an intermediate representation of the input graph that naturally reflects the “ambiguity” of its …