4.8k citations · 5.7k across the 7 of their papers we have counts for
4 papers · 1 filter
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction
Yichun Yin, Chenguang Wang, Ming Zhang
Dependency context-based word embedding jointly learns the representations of word and dependency context, and has been proved effective in aspect term extraction. In this paper, w…
Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks
Yiping Song, Zequn Liu, Wei Bi +2
Training the generative models with minimal corpus is one of the critical challenges for building open-domain dialogue systems. Existing methods tend to use the meta-learning frame…
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction
Yichun Yin, Furu Wei, Li Dong +3
In this paper, we develop a novel approach to aspect term extraction based on unsupervised learning of distributed representations of words and dependency paths. The basic idea is…
StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation
Xiang Li, Lili Mou, Rui Yan +1
Existing open-domain human-computer conversation systems are typically passive: they either synthesize or retrieve a reply provided a human-issued utterance. It is generally presum…