252 citations · 887 across the 29 of their papers we have counts for
4 papers · 1 filter
Technical Question Answering across Tasks and Domains
Wenhao Yu, Lingfei Wu, Yu Deng +4
Building automatic technical support system is an important yet challenge task. Conceptually, to answer a user question on a technical forum, a human expert has to first retrieve r…
A Survey of Knowledge-Enhanced Text Generation
Wenhao Yu, Chenguang Zhu, Zaitang Li +4
The goal of text generation is to make machines express in human language. It is one of the most important yet challenging tasks in natural language processing (NLP). Since 2014, v…
Injecting Entity Types into Entity-Guided Text Generation
Xiangyu Dong, Wenhao Yu, Chenguang Zhu +1
Recent successes in deep generative modeling have led to significant advances in natural language generation (NLG). Incorporating entities into neural generation models has demonst…
Crossing Variational Autoencoders for Answer Retrieval
Wenhao Yu, Lingfei Wu, Qingkai Zeng +3
Answer retrieval is to find the most aligned answer from a large set of candidates given a question. Learning vector representations of questions/answers is the key factor. Questio…