In Proceedings of the 14th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, of NAACL:SRW'15, pages 140–146, Denver, CO, 2015. Paper Paper Slides abstract bibtex
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%.