(2021-05-04) Tarasenko, Yaroslav; Petrasova, Svitlana; National Technical University “Kharkiv Polytechnic Institute”
The paper describes an approach to open relation extraction based on unsupervised machine
learning. The state-of-the-art methods for extracting semantic relations are analyzed. The
algorithm of automatic open relation extraction using statistical, syntactic and contextual
information is proposed. The results of the study can be used in information retrieval,
summarization, machine translation, question-answering systems, etc.
