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 …
Recognizing 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 …
sub-tasks of this problem, and provide a corresponding dialogue-level dataset, along with …
Knowledge-bridged causal interaction network for causal emotion entailment
W Zhao, Y Zhao, Z Li, B Qin - Proceedings of the AAAI Conference on …, 2023 - ojs.aaai.org
Abstract Causal Emotion Entailment aims to identify causal utterances that are responsible
for the target utterance with a non-neutral emotion in conversations. Previous works are …
for the target utterance with a non-neutral emotion in conversations. Previous works are …
Semeval-2024 task 3: Multimodal emotion cause analysis in conversations
The ability to understand emotions is an essential component of human-like artificial
intelligence, as emotions greatly influence human cognition, decision making, and social …
intelligence, as emotions greatly influence human cognition, decision making, and social …
An 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 …
of emotions and their corresponding causes in a document. Unlike the more well-studied …
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 …
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 …
Affective computing in the era of large language models: A survey from the nlp perspective
Affective Computing (AC), integrating computer science, psychology, and cognitive science
knowledge, aims to enable machines to recognize, interpret, and simulate human emotions …
knowledge, aims to enable machines to recognize, interpret, and simulate human emotions …
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 …
Neutral utterances are also causes: Enhancing conversational causal emotion entailment with social commonsense knowledge
Conversational Causal Emotion Entailment aims to detect causal utterances for a non-
neutral targeted utterance from a conversation. In this work, we build conversations as …
neutral targeted utterance from a conversation. In this work, we build conversations as …