313 citations · 1.1k across the 65 of their papers we have counts for
8 papers · 1 filter
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
Chengyi Wang, Yu Wu, Yao Qian +5
In this paper, we propose a unified pre-training approach called UniSpeech to learn speech representations with both unlabeled and labeled data, in which supervised phonetic CTC le…
Text Morphing
Shaohan Huang, Yu Wu, Furu Wei +1
In this paper, we introduce a novel natural language generation task, termed as text morphing, which targets at generating the intermediate sentences that are fluency and smooth wi…
Neural Melody Composition from Lyrics
Hangbo Bao, Shaohan Huang, Furu Wei +5
In this paper, we study a novel task that learns to compose music from natural language. Given the lyrics as input, we propose a melody composition model that generates lyrics-cond…
Towards Explainable and Controllable Open Domain Dialogue Generation with Dialogue Acts
Can Xu, Wei Wu, Yu Wu
We study open domain dialogue generation with dialogue acts designed to explain how people engage in social chat. To imitate human behavior, we propose managing the flow of human-m…
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots
Yu Wu, Wei Wu, Zhoujun Li +1
We propose a method that can leverage unlabeled data to learn a matching model for response selection in retrieval-based chatbots. The method employs a sequence-to-sequence archite…
Detecting Context Dependent Messages in a Conversational Environment
Chaozhuo Li, Yu Wu, Wei Wu +3
While automatic response generation for building chatbot systems has drawn a lot of attention recently, there is limited understanding on when we need to consider the linguistic co…
Topic Aware Neural Response Generation
Chen Xing, Wei Wu, Yu Wu +4
We consider incorporating topic information into the sequence-to-sequence framework to generate informative and interesting responses for chatbots. To this end, we propose a topic…
Response Selection with Topic Clues for Retrieval-based Chatbots
Yu Wu, Wei Wu, Zhoujun Li +1
We consider incorporating topic information into message-response matching to boost responses with rich content in retrieval-based chatbots. To this end, we propose a topic-aware c…