60 citations · 105 across the 6 of their papers we have counts for
6 papers
K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering
Fu Sun, Feng-Lin Li, Ruize Wang +3
Knowledge enhanced pre-trained language models (K-PLMs) are shown to be effective for many public tasks in the literature but few of them have been successfully applied in practice…
AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce
Guohai Xu, Hehong Chen, Feng-Lin Li +6
Live streaming is becoming an increasingly popular trend of sales in E-commerce. The core of live-streaming sales is to encourage customers to purchase in an online broadcasting ro…
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training
Fangkai Jiao, Yangyang Guo, Yilin Niu +3
Pre-trained Language Models (PLMs) have achieved great success on Machine Reading Comprehension (MRC) over the past few years. Although the general language representation learned…
AliMe KG: Domain Knowledge Graph Construction and Application in E-commerce
Feng-Lin Li, Hehong Chen, Guohai Xu +4
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 domain…
AliMe KBQA: Question Answering over Structured Knowledge for E-commerce Customer Service
Feng-Lin Li, Weijia Chen, Qi Huang +1
With the rise of knowledge graph (KG), question answering over knowledge base (KBQA) has attracted increasing attention in recent years. Despite much research has been conducted on…
AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience
Feng-Lin Li, Minghui Qiu, Haiqing Chen +9
We present AliMe Assist, an intelligent assistant designed for creating an innovative online shopping experience in E-commerce. Based on question answering (QA), AliMe Assist offer…