92 citations · 382 across the 11 of their papers we have counts for
7 papers · 1 filter
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…
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching
Liu Yang, Mingyang Zhang, Cheng Li +2
Many natural language processing and information retrieval problems can be formalized as the task of semantic matching. Existing work in this area has been largely focused on match…
Sparse Sinkhorn Attention
Yi Tay, Dara Bahri, Liu Yang +2
We propose Sparse Sinkhorn Attention, a new efficient and sparse method for learning to attend. Our method is based on differentiable sorting of internal representations. Concretel…