Papers Emotion Cause Extraction
“Emotion Cause Extraction” 태그가 달린 논문 28편 · 필터 해제
Acquiring Common Chinese Emotional Events Using Large Language Model
Knowledge about emotional events is an important kind of knowledge which has been applied to improve the effectiveness of different applications. However, emotional events cannot be easily acquired, especially common or …
Emotion Cause ExtractionThink out Loud: Emotion Deducing Explanation in Dialogues
Humans convey emotions through daily dialogues, making emotion understanding a crucial step of affective intelligence. To understand emotions in dialogues, machines are asked to recognize the emotion for an utterance (Em…
Common Sense ReasoningEmotion Cause ExtractionEmotion RecognitionMIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models
This paper presents our winning submission to Subtask 2 of SemEval 2024 Task 3 on multimodal emotion cause analysis in conversations. We propose a novel Multimodal Emotion Recognition and Multimodal Emotion Cause Extract…
Emotion Cause ExtractionEmotion-Cause Pair ExtractionEmotion RecognitionMultimodal Emotion RecognitionUniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause
Multimodal emotion recognition in conversation (MERC) and multimodal emotion-cause pair extraction (MECPE) have recently garnered significant attention. Emotions are the expression of affect or feelings; responses to spe…
Emotion Cause ExtractionEmotion-Cause Pair ExtractionEmotion RecognitionEmotion Recognition in Conversation+1Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study
Recently, ChatGPT has drawn great attention from both the research community and the public. We are particularly interested in whether it can serve as a universal sentiment analyzer. To this end, in this work, we provide…
Aspect-Based Sentiment Analysis (ABSA)Emotion Cause ExtractionEmotion-Cause Pair ExtractionExtract aspect-polarity tuple+2Emotion Prediction Oriented method with Multiple Supervisions for Emotion-Cause Pair Extraction
Emotion-cause pair extraction (ECPE) task aims to extract all the pairs of emotions and their causes from an unannotated emotion text. The previous works usually extract the emotion-cause pairs from two perspectives of e…
Emotion Cause ExtractionEmotion-Cause Pair ExtractionPredictionWish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation
Expressing empathy is important in everyday conversations, and exploring how empathy arises is crucial in automatic response generation. Most previous approaches consider only a single factor that affects empathy. Howeve…
Emotion Cause ExtractionEmpathetic Response GenerationResponse GenerationDiscourse-Aware Emotion Cause Extraction in Conversations
Emotion Cause Extraction in Conversations (ECEC) aims to extract the utterances which contain the emotional cause in conversations. Most prior research focuses on modelling conversational contexts with sequential encodin…
Causal Emotion EntailmentDiscourse ParsingEmotion Cause ExtractionGraph Neural Network+1UECA-Prompt: Universal Prompt for Emotion Cause Analysis
Emotion cause analysis (ECA) aims to extract emotion clauses and find the corresponding cause of the emotion. Existing methods adopt fine-tuning paradigm to solve certain types of ECA tasks. These task-specific methods h…
Emotion Cause ExtractionEmotion-Cause Pair ExtractionLearning Emotion-Aware Contextual Representations for Emotion-Cause Pair Extraction
Emotion Cause Pair Extraction (ECPE), the task expanded from the previous emotion cause extraction (ECE) task, focuses on extracting emotion-cause pairs in text. Two reasons have made ECPE a more challenging, but more ap…
Emotion Cause ExtractionEmotion-Cause Pair ExtractionBidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction
Emotion cause extraction (ECE) aims to extract the causes behind the certain emotion in text. Some works related to the ECE task have been published and attracted lots of attention in recent years. However, these methods…
Emotion Cause ExtractionGraph AttentionMultimodal Emotion-Cause Pair Extraction in Conversations
Emotion cause analysis has received considerable attention in recent years. Previous studies primarily focused on emotion cause extraction from texts in news articles or microblogs. It is also interesting to discover emo…
ArticlesEmotion Cause ExtractionEmotion-Cause Pair ExtractionEmotion Recognition+1Learning Emotion-Aware Contextual Representations for Emotion Cause Analysis
Emotion Cause Analysis has been a key topic in natural language processing. Previous works focus on Emotion Cause Extraction (ECE), a clause-level classification task aimed at extracting causes of certain given emotion i…
Emotion Cause ExtractionEmotion-Cause Pair ExtractionMulti-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction
Detecting what emotions are expressed in text is a well-studied problem in natural language processing. However, research on finer grained emotion analysis such as what causes an emotion is still in its infancy. We prese…
Common Sense ReasoningEmotion Cause ExtractionEmotion ClassificationEmotion Recognition+1Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction
The Emotion Cause Extraction (ECE)} task aims to identify clauses which contain emotion-evoking information for a particular emotion expressed in text. We observe that a widely-used ECE dataset exhibits a bias that the m…
Emotion Cause ExtractionPositionA Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness
Emotion-cause pair extraction (ECPE), an emerging task in sentiment analysis, aims at extracting pairs of emotions and their corresponding causes in documents. This is a more challenging problem than emotion cause extrac…
Emotion Cause ExtractionEmotion-Cause Pair ExtractionSentiment AnalysisAn End-to-End Network for Emotion-Cause Pair Extraction
The task of Emotion-Cause Pair Extraction (ECPE) aims to extract all potential clause-pairs of emotions and their corresponding causes in a document. Unlike the more well-studied task of Emotion Cause Extraction (ECE), E…
Emotion Cause ExtractionEmotion-Cause Pair ExtractionRecognizing Emotion Cause in Conversations
We address the problem of recognizing emotion cause in conversations, define two novel sub-tasks of this problem, and provide a corresponding dialogue-level dataset, along with strong Transformer-based baselines. The dat…
Causal Emotion EntailmentEmotion Cause ExtractionRecognizing Emotion Cause in ConversationsAn Experimental Study of The Effects of Position Bias on Emotion CauseExtraction
Emotion Cause Extraction (ECE) aims to identify emotion causes from a document after annotating the emotion keywords. Some baselines have been proposed to address this problem, such as rule-based, commonsense based and m…
Deep LearningEmotion Cause ExtractionPositionECSP: A New Task for Emotion-Cause Span-Pair Extraction and Classification
Emotion cause analysis such as emotion cause extraction (ECE) and emotion-cause pair extraction (ECPE) have gradually attracted the attention of many researchers. However, there are still two shortcomings in the existing…
Emotion Cause ExtractionEmotion-Cause Pair ExtractionEmotion ClassificationGeneral Classification