2.2k citations · 10.9k across the 144 of their papers we have counts for
4 papers · 1 filter
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
Chenyan Xiong, Zhenghao Liu, Si Sun +7
Neural rankers based on deep pretrained language models (LMs) have been shown to improve many information retrieval benchmarks. However, these methods are affected by their the cor…
Few-Shot Generative Conversational Query Rewriting
Shi Yu, Jiahua Liu, Jingqin Yang +4
Conversational query rewriting aims to reformulate a concise conversational query to a fully specified, context-independent query that can be effectively handled by existing inform…
A Hybrid Retrieval-Generation Neural Conversation Model
Liu Yang, Junjie Hu, Minghui Qiu +6
Intelligent personal assistant systems that are able to have multi-turn conversations with human users are becoming increasingly popular. Most previous research has been focused on…
Semantic Modelling with Long-Short-Term Memory for Information Retrieval
H. Palangi, L. Deng, Y. Shen +5
In this paper we address the following problem in web document and information retrieval (IR): How can we use long-term context information to gain better IR performance? Unlike co…