Machine Reading Comprehension (MRC) is a challenging task and hot topic in Natural
Language Processing. The goal of this field is to develop systems for answering the …

The advent of Question Answering Systems (QASs) has been envisaged as a promising
solution and an efficient approach for retrieving significant information over the Internet. A …

Attribute value extraction refers to the task of identifying values of an attribute of interest from
product information. Product attribute values are essential in many e-commerce scenarios …

Attribute value extraction refers to the task of identifying values of an attribute of interest from
product information. It is an important research topic which has been widely studied in e …

Question answering, an information retrieval system that seeks knowledge, is one of the
classic applications in Natural Language Processing. A question answering system …

Question Answering has recently received high attention from artificial intelligence
communities due to the advancements in learning technologies. Early question answering …

The design or simulation analysis of special equipment products must follow the national
standards, and hence it may be necessary to repeatedly consult the contents of the …

Question Answering (QA) is a field of study addressed to develop automatic methods for
answering questions expressed in natural language. Recently, the emergence of the new …

This project proposes a simple and smart question answering system using Named Entity
Recognition (NER) and Bidirectional Encoder Representations from Transformers (BERT) …

Question answering systems (QAS) are developed to answer questions presented in natural
language by extracting the answer. The development of QAS is aimed at making the Web …