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End-to-end emotion-cause pair extraction based on sliding window multi-label learning
Emotion-cause pair extraction (ECPE) is a new task that aims to extract the potential pairs of
emotions and their corresponding causes in a document. The existing methods first perform …
emotions and their corresponding causes in a document. The existing methods first perform …
Recent trends in deep learning based textual emotion cause extraction
X Su, Z Huang, Y Zhao, Y Chen… - … /ACM Transactions on …, 2023 - ieeexplore.ieee.org
Emotion Cause Extraction Field (ECEF) focuses on the cause that triggers an emotion in a
document. Traditional ECEF aims to extract the cause based on a given emotion while …
document. Traditional ECEF aims to extract the cause based on a given emotion while …
Multimodal emotion-cause pair extraction in conversations
Conversation is an important form of human communication and contains a large number of
emotions. It is interesting to discover emotions and their causes in conversations …
emotions. It is interesting to discover emotions and their causes in conversations …
A knowledge-guided graph attention network for emotion-cause pair extraction
Abstract Emotion-Cause Pair Extraction (ECPE) is a research objective focused on
identifying and extracting all emotion-clause and cause-clause pairs from unannotated …
identifying and extracting all emotion-clause and cause-clause pairs from unannotated …
A unified target-oriented sequence-to-sequence model for emotion-cause pair extraction
Emotion-cause pair extraction is a recently proposed task that aims at extracting all potential
clause-level pairs of emotion and cause in text. To solve this task, researchers first proposed …
clause-level pairs of emotion and cause in text. To solve this task, researchers first proposed …
Multi-task sequence tagging for emotion-cause pair extraction via tag distribution refinement
The task emotion-cause pair extraction deals with finding all emotions and the
corresponding causes from emotion texts. Existing joint methods solve it as multi-task …
corresponding causes from emotion texts. Existing joint methods solve it as multi-task …
A unified sequence labeling model for emotion cause pair extraction
Emotion-cause pair extraction (ECPE) aims at extracting emotions and causes as pairs from
documents, where each pair contains an emotion clause and a set of cause clauses …
documents, where each pair contains an emotion clause and a set of cause clauses …
ECPEC: Emotion-cause pair extraction in conversations
Conversational sentiment analysis (CSA) and emotion-cause pair extraction (ECPE) tasks
have attracted increasing attention in recent years. The former aims to predict the sentiment …
have attracted increasing attention in recent years. The former aims to predict the sentiment …
Joint alignment of multi-task feature and label spaces for emotion cause pair extraction
Emotion cause pair extraction (ECPE), as one of the derived subtasks of emotion cause
analysis (ECA), shares rich inter-related features with emotion extraction (EE) and cause …
analysis (ECA), shares rich inter-related features with emotion extraction (EE) and cause …
Multi-granularity semantic aware graph model for reducing position bias in emotion-cause pair extraction
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 …
pairs from documents. We observe that the relative distance distribution of emotions and …