Pair-based joint encoding with relational graph convolutional networks for emotion-cause pair extraction
Emotion-cause pair extraction (ECPE) aims to extract emotion clauses and corresponding
cause clauses, which have recently received growing attention. Previous methods …
cause clauses, which have recently received growing attention. Previous methods …
Leveraging semantic text analysis to improve the performance of transformer-based relation extraction
Keyword extraction from Knowledge Bases underpins the definition of relevancy in Digital
Library search systems. However, it is the pertinent task of Joint Relation Extraction, which …
Library search systems. However, it is the pertinent task of Joint Relation Extraction, which …
TAGPRIME: A unified framework for relational structure extraction
Many tasks in natural language processing require the extraction of relationship information
for a given condition, such as event argument extraction, relation extraction, and task …
for a given condition, such as event argument extraction, relation extraction, and task …
TpT-ADE: Transformer Based Two-Phase ADE Extraction
S Kuchibhotla, M Singh - Proceedings of the 28th Conference on …, 2024 - aclanthology.org
Extracting adverse reactions to medications or treatments is a crucial activity in the
biomedical domain. The task involves identifying mentions of drugs and their adverse …
biomedical domain. The task involves identifying mentions of drugs and their adverse …
Joint Feature Encoding and Task Alignment Mechanism for Emotion-Cause Pair Extraction.
S Li, D Sun - Computers, Materials & Continua, 2025 - search.ebscohost.com
With the rapid expansion of social media, analyzing emotions and their causes in texts has
gained significant importance. Emotion-cause pair extraction enables the identification of …
gained significant importance. Emotion-cause pair extraction enables the identification of …
A Method for Extracting Power Entity Relationships Based on Hybrid Neural Networks
X Liu, S Ruan, Y He, X Zhang, Q Chen - Scalable Computing: Practice and …, 2024 - scpe.org
In response to the challenges of entity relationship extraction in unstructured text, the author
proposes a power entity relationship extraction method based on a hybrid neural network …
proposes a power entity relationship extraction method based on a hybrid neural network …
A Joint Entity Relation Extraction Method Based on Type Prediction
R Zhang, X Li, L Yin, Z Ren… - 2023 16th International …, 2023 - ieeexplore.ieee.org
Entity relation joint extraction is to extract entity and relation facts from unstructured text at
the same time, which is a key step in constructing knowledge graph. Most of the existing joint …
the same time, which is a key step in constructing knowledge graph. Most of the existing joint …