In this paper, we apply concept learning techniques to solve a number of problems in the customer relationship management (CRM) domain. We present a concept learning …
B Galitsky - Engineering Applications of Artificial Intelligence, 2013 - Elsevier
We build an open-source toolkit which implements deterministic learning to support search and text classification tasks. We extend the mechanism of logical generalization towards …
B Galitsky - Data & Knowledge Engineering, 2017 - Elsevier
Traditional parse trees are combined together and enriched with anaphora and rhetoric information to form a unified representation for a paragraph of text. We refer to these …
We extend the mechanism of logical generalization toward syntactic parse trees and attempt to detect semantic signals unobservable in the level of keywords. Generalization from a …
Given a discourse tree for a text as a candidate answer to a compound query, we propose a rule system for valid and invalid occurrence of the query keywords in this tree. To be a valid …
B Galitsky - Engineering Applications of Artificial Intelligence, 2014 - Elsevier
We propose to combine parse forest and discourse structures to form a unified representation for a paragraph of text. The purpose of this representation is to tackle …
Matching sets of parse trees for answering multi-sentence questions Page 1 Proceedings of Recent Advances in Natural Language Processing, pages 285–293, Hissar, Bulgaria, 7-13 …
B Galitsky, A Parnis - Artificial intelligence for the internet of everything, 2019 - Elsevier
Agents of the Internet of Everything (IoE) exchange messages, make certain decisions, and provide arguments for them. In this IoE environment validation of the validity of …
B Galitsky - Artificial Intelligence for Healthcare Applications and …, 2022 - books.google.com
Medical diagnosis is the procedure of identifying the cause of a patient's illness or condition by investigating information acquired from various sources including physical examination …