7 citations · 12 across the 5 of their papers we have counts for
5 papers
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations
Dou Hu, Yinan Bao, Lingwei Wei +2
Extracting generalized and robust representations is a major challenge in emotion recognition in conversations (ERC). To address this, we propose a supervised adversarial contrasti…
Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension
Nuo Chen, Hongguang Li, Junqing He +8
The conversational machine reading comprehension (CMRC) task aims to answer questions in conversations, which has been a hot research topic in recent years because of its wide appl…
Natural Response Generation for Chinese Reading Comprehension
Nuo Chen, Hongguang Li, Yinan Bao +2
Machine reading comprehension (MRC) is an important area of conversation agents and draws a lot of attention. However, there is a notable limitation to current MRC benchmarks: The…
Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation
Yinan Bao, Qianwen Ma, Lingwei Wei +2
The emotion recognition in conversation (ERC) task aims to predict the emotion label of an utterance in a conversation. Since the dependencies between speakers are complex and dyna…
Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion-Cause Pair Extraction
Yinan Bao, Qianwen Ma, Lingwei Wei +2
The Emotion-Cause Pair Extraction (ECPE) task aims to extract emotions and causes as pairs from documents. We observe that the relative distance distribution of emotions and causes…