15 citations · 42 across the 11 of their papers we have counts for
11 papers · 1 filter
Categorizing Comparative Sentences
Alexander Panchenko, Alexander Bondarenko, Mirco Franzek +2
We tackle the tasks of automatically identifying comparative sentences and categorizing the intended preference (e.g., "Python has better NLP libraries than MATLAB" => (Python, bet…
Sentiment Index of the Russian Speaking Facebook
Alexander Panchenko
A sentiment index measures the average emotional level in a corpus. We introduce four such indexes and use them to gauge average "positiveness" of a population during some period b…
Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction
Dmitry Ustalov, Alexander Panchenko, Chris Biemann +1
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 d…
Learning Graph Embeddings from WordNet-based Similarity Measures
Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk +2
We present path2vec, a new approach for learning graph embeddings that relies on structural measures of pairwise node similarities. The model learns representations for nodes in a…
Unsupervised Semantic Frame Induction using Triclustering
Dmitry Ustalov, Alexander Panchenko, Andrei Kutuzov +2
We use dependency triples automatically extracted from a Web-scale corpus to perform unsupervised semantic frame induction. We cast the frame induction problem as a triclustering p…
How much does a word weigh? Weighting word embeddings for word sense induction
Nikolay Arefyev, Pavel Ermolaev, Alexander Panchenko
The paper describes our participation in the first shared task on word sense induction and disambiguation for the Russian language RUSSE'2018 (Panchenko et al., 2018). For each of…