most citedUniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition

11 citations · 23 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2022

Towards Generalized Open Information Extraction

Bowen Yu, Zhenyu Zhang, Jingyang Li +5

Open Information Extraction (OpenIE) facilitates the open-domain discovery of textual facts. However, the prevailing solutions evaluate OpenIE models on in-domain test sets aside f…

cs.CL20221 cited

Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue

Yingxiu Zhao, Yinhe Zheng, Zhiliang Tian +6

Lifelong learning (LL) is vital for advanced task-oriented dialogue (ToD) systems. To address the catastrophic forgetting issue of LL, generative replay methods are widely employed…

cs.CL20221 cited

Semi-Supervised Lifelong Language Learning

Yingxiu Zhao, Yinhe Zheng, Bowen Yu +6

Lifelong learning aims to accumulate knowledge and alleviate catastrophic forgetting when learning tasks sequentially. However, existing lifelong language learning methods only foc…

cs.CL2022

CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation

Yinpei Dai, Wanwei He, Bowen Li +5

Practical dialog systems need to deal with various knowledge sources, noisy user expressions, and the shortage of annotated data. To better solve the above problems, we propose CGo…

cs.CL202211 cited

UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition

Guimin Hu, Ting-En Lin, Yi Zhao +3

Multimodal sentiment analysis (MSA) and emotion recognition in conversation (ERC) are key research topics for computers to understand human behaviors. From a psychological perspect…

cs.CL20222 cited

Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots

Haomin Fu, Yeqin Zhang, Haiyang Yu +5

This paper introduces Doc2Bot, a novel dataset for building machines that help users seek information via conversations. This is of particular interest for companies and organizati…