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 …
[HTML][HTML] A survey on textual emotion cause extraction in social networks
S Peng, L Cao, G Wang, Z Ouyang, Y Zhou… - Digital Communications …, 2024 - Elsevier
With the rapid development of web technology, Social Networks (SNs) have become one of
the most popular platforms for users to exchange views and to express their emotions. More …
the most popular platforms for users to exchange views and to express their emotions. More …
Generative emotion cause triplet extraction in conversations with commonsense knowledge
Abstract Emotion Cause Triplet Extraction in Conversations (ECTEC) aims to simultaneously
extract emotion utterances, emotion categories, and cause utterances from conversations …
extract emotion utterances, emotion categories, and cause utterances from conversations …
SEEC and CHASE: An emotion-cause pair-oriented approach and conversational dataset with heterogeneous emotions for empathetic response generation
S Gupta, SK Dandapat - Knowledge-Based Systems, 2023 - Elsevier
Abstract Empathetic Response Generation (ERG) in dialog agents has gained tremendous
attention in the recent past. Among various methods used to impart empathy in the …
attention in the recent past. Among various methods used to impart empathy in the …
A graph attention network utilizing multi-granular information for emotion-cause pair extraction
S Chen, K Mao - Neurocomputing, 2023 - Elsevier
Emotion-cause pair extraction (ECPE) aims to extract emotion and cause clauses underlying
a text and pair them. Most of the recent approaches to this problem adopt deep neural …
a text and pair them. Most of the recent approaches to this problem adopt deep neural …
Span-level emotion-cause-category triplet extraction via table-filling
Emotion cause analysis has been a prominent focus in natural language processing. The
existing studies mainly focus on the clause-level emotion cause extraction (ECE) or emotion …
existing studies mainly focus on the clause-level emotion cause extraction (ECE) or emotion …
Unifying emotion-oriented and cause-oriented predictions for emotion-cause pair extraction
Emotion-cause pair extraction (ECPE) is an extraction task aiming to simultaneously identify
the emotions and causes from the text without emotion annotations. Let ci and cj represent …
the emotions and causes from the text without emotion annotations. Let ci and cj represent …
[PDF][PDF] NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations
This paper describes the architecture of our system developed for Task 3 of SemEval-2024:
Multimodal Emotion-Cause Analysis in Conversations. Our project targets the challenges of …
Multimodal Emotion-Cause Analysis in Conversations. Our project targets the challenges of …
MV-SHIF: Multi-view symmetric hypothesis inference fusion network for emotion-cause pair extraction in documents
C Yang, H Zhang, B Chen, B Jiang, Y Wang - Neural Networks, 2024 - Elsevier
Emotion-cause pair extraction (ECPE) is a challenging task that aims to automatically
identify pairs of emotions and their causes from documents. The difficulty of ECPE lies in …
identify pairs of emotions and their causes from documents. The difficulty of ECPE lies in …
Hierarchical Shared Encoder with Task-specific Transformer Layer Selection for Emotion-Cause Pair Extraction
Emotion Cause Pair Extraction (ECPE) aims to extract emotions and their causes from a
document. Powerful emotion and cause extraction abilities have proven essential in …
document. Powerful emotion and cause extraction abilities have proven essential in …