158 citations · 393 across the 30 of their papers we have counts for
5 papers · 2 filters
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…
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…
"Wait, I'm Still Talking!" Predicting the Dialogue Interaction Behavior Using Imagine-Then-Arbitrate Model
Zehao Lin, Shaobo Cui, Guodun Li +6
Producing natural and accurate responses like human beings is the ultimate goal of intelligent dialogue agents. So far, most of the past works concentrate on selecting or generatin…