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 …
Entrepreneurship innovation using social robots in tourism: a social listening study
The tourism sector has been one of the most impacted by the COVID-19 pandemic, due to
restrictions on mobility and fear of social contact. In this context, business innovation through …
restrictions on mobility and fear of social contact. In this context, business innovation through …
Emotion-cause pair extraction: A new task to emotion analysis in texts
Emotion cause extraction (ECE), the task aimed at extracting the potential causes behind
certain emotions in text, has gained much attention in recent years due to its wide …
certain emotions in text, has gained much attention in recent years due to its wide …
ECPE-2D: Emotion-cause pair extraction based on joint two-dimensional representation, interaction and prediction
In recent years, a new interesting task, called emotion-cause pair extraction (ECPE), has
emerged in the area of text emotion analysis. It aims at extracting the potential pairs of …
emerged in the area of text emotion analysis. It aims at extracting the potential pairs of …
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 …
RTHN: A RNN-transformer hierarchical network for emotion cause extraction
The emotion cause extraction (ECE) task aims at discovering the potential causes behind a
certain emotion expression in a document. Techniques including rule-based methods …
certain emotion expression in a document. Techniques including rule-based methods …
Who feels what and why? annotation of a literature corpus with semantic roles of emotions
Most approaches to emotion analysis in fictional texts focus on detecting the emotion
expressed in text. We argue that this is a simplification which leads to an overgeneralized …
expressed in text. We argue that this is a simplification which leads to an overgeneralized …
From independent prediction to reordered prediction: Integrating relative position and global label information to emotion cause identification
Emotion cause identification aims at identifying the potential causes that lead to a certain
emotion expression in text. Several techniques including rule based methods and traditional …
emotion expression in text. Several techniques including rule based methods and traditional …
Towards an online empathetic chatbot with emotion causes
Y Li, K Li, H Ning, X **a, Y Guo, C Wei, J Cui… - Proceedings of the 44th …, 2021 - dl.acm.org
Existing emotion-aware conversational models usually focus on controlling the response
contents to align with a specific emotion class, whereas empathy is the ability to understand …
contents to align with a specific emotion class, whereas empathy is the ability to understand …
Context-aware emotion cause analysis with multi-attention-based neural network
X Li, S Feng, D Wang, Y Zhang - Knowledge-Based Systems, 2019 - Elsevier
Emotion cause analysis has elicited wide interest in both academia and industry, and aims
to identify the reasons behind certain emotions expressed in text. Most of the current studies …
to identify the reasons behind certain emotions expressed in text. Most of the current studies …