28 citations · 44 across the 4 of their papers we have counts for
4 papers
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…
A Deep Look into Neural Ranking Models for Information Retrieval
Jiafeng Guo, Yixing Fan, Liang Pang +6
Ranking models lie at the heart of research on information retrieval (IR). During the past decades, different techniques have been proposed for constructing ranking models, from tr…
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching
Chen Qu, Feng Ji, Minghui Qiu +5
Deep text matching approaches have been widely studied for many applications including question answering and information retrieval systems. To deal with a domain that has insuffic…
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match
Keping Bi, Qingyao Ai, W. Bruce Croft
Relevance feedback techniques assume that users provide relevance judgments for the top k (usually 10) documents and then re-rank using a new query model based on those judgments.…