Pre-sales customer service is of importance to E-commerce platforms as it contributes to
optimizing customers? buying process. To better serve users, we propose AliMe KG, a …

Product question answering (PQA), aiming to automatically provide instant responses to
customer's questions in E-Commerce platforms, has drawn increasing attention in recent …

Product question answering (PQA) aims to automatically address customer questions to
improve their online shopping experience. Current research mainly focuses on finding …

With the rapid development of the tourism industry, various travel websites are emerging.
The tourism question answering system explores a large amount of information from these …

We present NAMER, an open-domain Chinese knowledge base question answering system
based on a novel node-based framework that better grasps the structural mapping between …

Abstract Knowledge Base Question Answering (KBQA), as an increasingly essential
application, can provide accurate responses to user queries. ensuring that users obtain …

Knowledge Graph (KG) is playing an increasingly important role in various AI systems. For e-
commerce, an efficient and low-cost automated knowledge graph construction method is the …

Automotive user manuals serve as repositories of valuable information pertaining to a
vehicle, leveraging question answering (QA) systems provides users with a convenient …

The massive data and information in the petroliferous basins formed by exploration and
development are extremely valuable. Thus, they need to be deeply mined and utilized by …

In this research study, we propose an effective framework for complex question answering
over large-scale knowledge bases. We employ encoder-decoder neural networks, deep …