In this paper, we propose the use of semantic information for the task of answering complex questions. We use the Extended String Subsequence Kernel (ESSK) ...

Abstract. In this paper, we propose the use of semantic information for the task of answering complex questions. We use the Extended String.

May 25, 2011 · Improving graph-based random walks for complex question answering using syntactic, shallow semantic and extended string subsequence kernels.

Chali Y, Hasan SA, Imam K. {Using Semantic Information to Answer Complex Questions}, in Proceedings of the 24th Canadian Conference on Artificial ...

In this paper, we present a novel framework for answering broad and complex questions, assuming answering simple questions is possible using a search engine and ...

Nov 11, 2021 · In this article, we explain key concepts and terminology of semantic (or 'neural') search and question answering systems.

This paper presents a CRF (Conditional. Random Field) model for Semantic. Chunk Annotation in a Chinese Question and Answering System (SCACQA). The.

Oct 12, 2023 · The question-answering method based on semantic analysis can independently learn and generate models with complex parameters and functions.

May 23, 2019 · We present ComQA-a three-phase KBQA framework by which end-users can ask complex questions and get answers in a natural way.

First, our study did not consider the relevance of semantic understanding in complex multiround question answering. Second, as user problems become more complex ...