Search Results for author: Xiaofei Zhu

Found 7 papers, 4 papers with code

E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory

no code implementations4 Jun 2024 Zhou Yang, Zhaochun Ren, Chenglong Ye, Yufeng Wang, Haizhou Sun, Chao Chen, Xiaofei Zhu, Yunbing Wu, Xiangwen Liao

Specifically, we conduct extensive pilot experiments and find that ICL conforms to the prototype theory on fine-grained emotion recognition.

Emotion Recognition In-Context Learning

Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential Recommendation

1 code implementation22 Apr 2024 Xiaofei Zhu, Liang Li, Weidong Liu, Xin Luo

To the end, in this paper, we propose a novel model named Multi-level Sequence Denoising with Cross-signal Contrastive Learning (MSDCCL) for sequential recommendation.

Contrastive Learning Denoising +1

An Iterative Associative Memory Model for Empathetic Response Generation

1 code implementation28 Feb 2024 Zhou Yang, Zhaochun Ren, Yufeng Wang, Chao Chen, Haizhou Sun, Xiaofei Zhu, Xiangwen Liao

Empathetic response generation aims to comprehend the cognitive and emotional states in dialogue utterances and generate proper responses.

Empathetic Response Generation Response Generation

Exploiting Emotion-Semantic Correlations for Empathetic Response Generation

1 code implementation27 Feb 2024 Zhou Yang, Zhaochun Ren, Yufeng Wang, Xiaofei Zhu, Zhihao Chen, Tiecheng Cai, Yunbing Wu, Yisong Su, Sibo Ju, Xiangwen Liao

Based on dynamic emotion-semantic vectors and dependency trees, we propose a dynamic correlation graph convolutional network to guide the model in learning context meanings in dialogue and generating empathetic responses.

Dialogue Generation Empathetic Response Generation +1

TweetsCOV19 -- A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic

1 code implementation25 Jun 2020 Dimitar Dimitrov, Erdal Baran, Pavlos Fafalios, Ran Yu, Xiaofei Zhu, Matthäus Zloch, Stefan Dietze

Publicly available social media archives facilitate research in the social sciences and provide corpora for training and testing a wide range of machine learning and natural language processing methods.

Event Detection Information Retrieval +1

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