92 citations · 382 across the 11 of their papers we have counts for
11 papers
Natural Language Understanding with Privacy-Preserving BERT
Chen Qu, Weize Kong, Liu Yang +3
Privacy preservation remains a key challenge in data mining and Natural Language Understanding (NLU). Previous research shows that the input text or even text embeddings can leak p…
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…
Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations
Haojie Pan, Cen Chen, Chengyu Wang +4
Information-seeking conversation systems are increasingly popular in real-world applications, especially for e-commerce companies. To retrieve appropriate responses for users, it i…
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling
Jiecao Chen, Liu Yang, Karthik Raman +6
Pre-trained models like BERT (Devlin et al., 2018) have dominated NLP / IR applications such as single sentence classification, text pair classification, and question answering. Ho…
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…