158 citations · 393 across the 30 of their papers we have counts for
8 papers · 1 filter
Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources
Qianglong Chen, Feng Ji, Haiqing Chen +1
In order to facilitate natural language understanding, the key is to engage commonsense or background knowledge. However, how to engage commonsense effectively in question answerin…
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…
MTSS: Learn from Multiple Domain Teachers and Become a Multi-domain Dialogue Expert
Shuke Peng, Feng Ji, Zehao Lin +3
How to build a high-quality multi-domain dialogue system is a challenging work due to its complicated and entangled dialogue state space among each domain, which seriously limits t…
Predict-then-Decide: A Predictive Approach for Wait or Answer Task in Dialogue Systems
Zehao Lin, Shaobo Cui, Guodun Li +6
Different people have different habits of describing their intents in conversations. Some people tend to deliberate their intents in several successive utterances, i.e., they use s…
MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning
Shuangyong Song, Chao Wang, Qianqian Xie +3
Conversational context understanding aims to recognize the real intention of user from the conversation history, which is critical for building the dialogue system. However, the mu…
TCNN: Triple Convolutional Neural Network Models for Retrieval-based Question Answering System in E-commerce
Shuangyong Song, Chao Wang
Automatic question-answering (QA) systems have boomed during last few years, and commonly used techniques can be roughly categorized into Information Retrieval (IR)-based and gener…