AUTOMATED METHOD OF HYPER-HYPONYMIC VERBAL PAIRS EXTRACTION FROM DICTIONARY DEFINITIONS BASED ON SYNTAX ANALYSIS AND WORD EMBEDDINGS

This study is dedicated to the development of methods of computer-aided hyper-hyponymic verbal pairs extraction. The method's foundation is that in a dictionary article the defined verb is commonly a hyponym and its definition is formulated through a hypernym in the infinitive. The first method extracted all infinitives having dependents. The second method also demanded an extracted infinitive to be the root of the syntax tree. The first method allowed the extraction of almost twice as many hypernyms; whereas the second method provided higher precision. The results were post-processed with word embeddings, which allowed an improved precision without a crucial drop in the number of extracted hypernyms. Key words: semantics, verbal hyponymy, syntax models, word embeddings, RusVectores