3 citations · 5 across the 2 of their papers we have counts for
5 papers
Pretrained Language Models for Dialogue Generation with Multiple Input Sources
Yu Cao, Wei Bi, Meng Fang +1
Large-scale pretrained language models have achieved outstanding performance on natural language understanding tasks. However, it is still under investigating how to apply them to…
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning
Yifan Gao, Piji Li, Wei Bi +3
Sentence function is an important linguistic feature indicating the communicative purpose in uttering a sentence. Incorporating sentence functions into conversations has shown impr…
A Discrete CVAE for Response Generation on Short-Text Conversation
Jun Gao, Wei Bi, Xiaojiang Liu +3
Neural conversation models such as encoder-decoder models are easy to generate bland and generic responses. Some researchers propose to use the conditional variational autoencoder(…
Subword ELMo
Jiangtong Li, Hai Zhao, Zuchao Li +2
Embedding from Language Models (ELMo) has shown to be effective for improving many natural language processing (NLP) tasks, and ELMo takes character information to compose word rep…
Fine-Grained Sentence Functions for Short-Text Conversation
Wei Bi, Jun Gao, Xiaojiang Liu +1
Sentence function is an important linguistic feature referring to a user's purpose in uttering a specific sentence. The use of sentence function has shown promising results to impr…