Question-answering systems are recognized as popular and frequently effective means of
information seeking on the web. In such systems, information seekers can receive a concise …

Abstract Teaching English as a Foreign Language (EFL) writing skills presents a unique set
of challenges, from develo** students' language proficiency to providing personalized …

Knowledge base question answering (KBQA) aims to answer a question over a knowledge
base (KB). Early studies mainly focused on answering simple questions over KBs and …

Semantic relation extraction is crucial to automatically constructing a knowledge graph (KG),
and it supports a variety of downstream natural language processing (NLP) tasks such as …

Multi-hop knowledge graph question answering (KGQA) aims to pinpoint answer entities by
reasoning across multiple triples in knowledge graphs (KGs). To enhance model …

For many users of natural language processing (NLP), it can be challenging to obtain
concise, accurate and precise answers to a question. Systems such as question answering …

Advances in machine learning technology have enabled real-time extraction of semantic
information in signals which can revolutionize signal processing techniques and improve …

This paper presents the Open Knowledge Extraction (OKE) tools combined with natural
language analysis of the sentence in order to enrich the semantic of the legal knowledge …

Text-enhanced and implicit reasoning methods are proposed for answering questions over
incomplete knowledge graph (KG), whereas prior studies either rely on external resources …

Question Answer System (QAS) automatically answers the question asked in natural
language. Due to the varying dimensions and approaches that are available, QAS has a …