941 citations · 3.7k across the 76 of their papers we have counts for
22 papers · 1 filter
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…
Attention-Guided Answer Distillation for Machine Reading Comprehension
Minghao Hu, Yuxing Peng, Furu Wei +4
Despite that current reading comprehension systems have achieved significant advancements, their promising performances are often obtained at the cost of making an ensemble of nume…
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…
Approximate Distribution Matching for Sequence-to-Sequence Learning
Wenhu Chen, Guanlin Li, Shujie Liu +3
Sequence-to-Sequence models were introduced to tackle many real-life problems like machine translation, summarization, image captioning, etc. The standard optimization algorithms a…
Neural Speech Synthesis with Transformer Network
Naihan Li, Shujie Liu, Yanqing Liu +3
Although end-to-end neural text-to-speech (TTS) methods (such as Tacotron2) are proposed and achieve state-of-the-art performance, they still suffer from two problems: 1) low effic…
Factorized Q-Learning for Large-Scale Multi-Agent Systems
Ming Zhou, Yong Chen, Ying Wen +5
Deep Q-learning has achieved significant success in single-agent decision making tasks. However, it is challenging to extend Q-learning to large-scale multi-agent scenarios, due to…