Ruifeng Xu

A Question Answering Approach to Emotion Cause Extraction

2017 · arXiv (Cornell University)

Emotion cause extraction aims to identify the reasons behind a certain emotion expressed in text. It is a much more difficult task compared to emotion classification. Inspired by recent advances in using deep memory networks …

Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification

2021

Lifelong learning capabilities are crucial for sentiment classifiers to process continuous streams of opinioned information on the Web. However, performing lifelong learning is non-trivial for deep neural networks as continually training of incrementally available information …

Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations

2021

Current approaches to empathetic response generation focus on learning a model to predict an emotion label and generate a response based on this label, and have achieved promising results. However, the emotion cause, an essential …

Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction

2022 · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Zero-shot cross-lingual event argument extraction (EAE) is a challenging yet practical problem in Information Extraction. Most previous works heavily rely on external structured linguistic features, which are not easily accessible in real-world scenarios. This paper …

MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System

2023

Multi-modal sarcasm detection has attracted much recent attention. Nevertheless, the existing benchmark (MMSD) has some shortcomings that hinder the development of reliable multi-modal sarcasm detection system: (1) There are some spurious cues in MMSD, leading …

COPR: Continual Human Preference Learning via Optimal Policy Regularization

2024 · arXiv (Cornell University)

Reinforcement Learning from Human Feedback (RLHF) is commonly utilized to improve the alignment of Large Language Models (LLMs) with human preferences. Given the evolving nature of human preferences, continual alignment becomes more crucial and practical …

HITSZ-HLT at SIGHAN-2024 dimABSA Task: Integrating BERT and LLM for Chinese Dimensional Aspect-Based Sentiment Analysis

2024

This paper presents the winning system participating in the ACL 2024 workshop SIGHAN-10 shared task: Chinese dimensional aspect-based sentiment analysis (dimABSA).This task aims to identify four sentiment elements in restaurant reviews: aspect, category, opinion, and …

Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction

2024

Aspect Sentiment Quad Prediction (ASQP) aims to predict all quads (aspect term, aspect category, opinion term, sentiment polarity) for a given review, which is the most representative and challenging task in aspect-based sentiment analysis.A key …

Targeted Distillation for Sentiment Analysis

2025 · arXiv (Cornell University)

This paper explores targeted distillation methods for sentiment analysis, aiming to build compact and practical models that preserve strong and generalizable sentiment analysis capabilities. To this end, we conceptually decouple the distillation target into knowledge …