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20182021
most citedOpen-Retrieval Conversational Question Answering

82 citations · 199 across the 6 of their papers we have counts for

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12 papers · 1 filter

cs.IR2021

Passage Retrieval for Outside-Knowledge Visual Question Answering

Chen Qu, Hamed Zamani, Liu Yang +2

In this work, we address multi-modal information needs that contain text questions and images by focusing on passage retrieval for outside-knowledge visual question answering. This…

cs.IR20212 cited

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…

cs.IR202082 cited

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…

cs.IR20203 cited

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…

cs.IR2019

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…

cs.IR2019

BERT with History Answer Embedding for Conversational Question Answering

Chen Qu, Liu Yang, Minghui Qiu +3

Conversational search is an emerging topic in the information retrieval community. One of the major challenges to multi-turn conversational search is to model the conversation hist…