82 citations · 166 across the 5 of their papers we have counts for
5 papers · 1 filter
Weakly-Supervised Open-Retrieval Conversational Question Answering
Chen Qu, Liu Yang, Cen Chen +3
Recent studies on Question Answering (QA) and Conversational QA (ConvQA) emphasize the role of retrieval: a system first retrieves evidence from a large collection and then extract…
Match: A Matching over Matching Model for Similar Question Identification
Zizhen Wang, Yixing Fan, Jiafeng Guo +6
Community Question Answering (CQA) has become a primary means for people to acquire knowledge, where people are free to ask questions or submit answers. To enhance the efficiency o…
Open-Retrieval Conversational Question Answering
Chen Qu, Liu Yang, Cen Chen +3
Conversational search is one of the ultimate goals of information retrieval. Recent research approaches conversational search by simplified settings of response ranking and convers…
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems
Liu Yang, Minghui Qiu, Chen Qu +5
Personal assistant systems, such as Apple Siri, Google Assistant, Amazon Alexa, and Microsoft Cortana, are becoming ever more widely used. Understanding user intent such as clarifi…
Attentive History Selection for Conversational Question Answering
Chen Qu, Liu Yang, Minghui Qiu +4
Conversational question answering (ConvQA) is a simplified but concrete setting of conversational search. One of its major challenges is to leverage the conversation history to und…