A Computational and Inferential Method for Analyzing the Semantics of Phrase and Sentence in Vietnamese Question Answering System Model (VietQASM)

摘要

Based on the Reading Answering System (RAS) in S. T. Pham and D. T. Nguyen (2013), this paper aims to present a novel computational and inferential method for computing the semantics of phrase and sentence in Vietnamese in order to build the textual knowledge base of Vietnamese Question Answering System Model (VietQASM). The VietQASM is a Vietnamese question answering system model, which is capable to answer many types of questions about series of events and questions having many interrogative objects. The VietQASM composes three main elements: i) a set of semantic models for phrases, ii) a set of semantic models for sentences, iii) a semantic processing mechanism for analyzing sentences.