Question answering, serving as one of important tasks in natural language processing,
enables machines to understand questions in natural language and answer the questions …

Question Answering (QA) over Knowledge Base (KB) aims to automatically answer natural
language questions via well-structured relation information between entities stored in …

Natural language processing (NLP) based on deep learning provides a positive
performance for generative dialogue system, and the transformer model is a new boost in …

Knowledge base question answering (KBQA) aims to answer a question over a knowledge
base (KB). Recently, a large number of studies focus on semantically or syntactically …

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 …

Hazardous chemicals are widely used in the production activities of the chemical industry.
The risk management of hazardous chemicals is critical to the safety of life and property …

The data generated in the product manufacturing process are usually distributed in different
formats, triggering fragmented knowledge and disconnected information. To address this …

Fusing data from different sources to improve decision making in smart cities has received
increasing attention. Collected data through sensors usually exist in a multi-modal form …

The goal of complex question answering over knowledge bases (KBQA) is to find an answer
entity in a knowledge graph. Recent information retrieval-based methods have focused on …

Abstract The Liao Dynasty was a minority regime established by the Khitan on the
grasslands of northern China. To promote and spread the cultural knowledge of the Liao …