65 citations · 292 across the 21 of their papers we have counts for
6 papers · 1 filter
Improving Hypernymy Extraction with Distributional Semantic Classes
Alexander Panchenko, Dmitry Ustalov, Stefano Faralli +2
In this paper, we show how distributionally-induced semantic classes can be helpful for extracting hypernyms. We present methods for inducing sense-aware semantic classes using dis…
Human and Machine Judgements for Russian Semantic Relatedness
Alexander Panchenko, Dmitry Ustalov, Nikolay Arefyev +4
Semantic relatedness of terms represents similarity of meaning by a numerical score. On the one hand, humans easily make judgments about semantic relatedness. On the other hand, th…
Fighting with the Sparsity of Synonymy Dictionaries
Dmitry Ustalov, Mikhail Chernoskutov, Chris Biemann +1
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 st…
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation
Alexander Panchenko, Fide Marten, Eugen Ruppert +4
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-base…
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning
Dmitry Ustalov, Nikolay Arefyev, Chris Biemann +1
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 requ…
Watset: Automatic Induction of Synsets from a Graph of Synonyms
Dmitry Ustalov, Alexander Panchenko, Chris Biemann
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 com…