Semantics-based Graph Approach to Complex Question-Answering

Tomasz Jurczyk, Jinho D. Choi


This paper suggests an architectural approach of representing knowledge graph for complex question-answering. There are four kinds of entity relations added to our knowledge graph: syntactic dependencies, semantic role labels, named entities, and coreference links, which can be effectively applied to answer complex questions. As a proof of concept, we demon- strate how our knowledge graph can be used to solve complex questions such as arithmetics. Our experiment shows a promising result on solving arithmetic questions, achieving the 3-folds cross-validation score of 71.75%.

Venue / Year

Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) / 2015


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