Is neuro-symbolic AI meeting its promises in natural language processing? A structured review
Abstract Advocates for Neuro-Symbolic Artificial Intelligence (NeSy) assert that combining
deep learning with symbolic reasoning will lead to stronger AI than either paradigm on its …
deep learning with symbolic reasoning will lead to stronger AI than either paradigm on its …
A survey on aspect-based sentiment analysis: Tasks, methods, and challenges
As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …
Exploring aspect-based sentiment quadruple extraction with implicit aspects, opinions, and ChatGPT: a comprehensive survey
In contrast to earlier ABSA studies primarily concentrating on individual sentiment
components, recent research has ventured into more complex ABSA tasks encompassing …
components, recent research has ventured into more complex ABSA tasks encompassing …
LEGO-ABSA: A prompt-based task assemblable unified generative framework for multi-task aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) has received increasing attention recently. ABSA
can be divided into multiple tasks according to the different extracted elements. Existing …
can be divided into multiple tasks according to the different extracted elements. Existing …
Generative cross-domain data augmentation for aspect and opinion co-extraction
As a fundamental task in opinion mining, aspect and opinion co-extraction aims to identify
the aspect terms and opinion terms in reviews. However, due to the lack of fine-grained …
the aspect terms and opinion terms in reviews. However, due to the lack of fine-grained …
A span-sharing joint extraction framework for harvesting aspect sentiment triplets
Y Li, Y Lin, Y Lin, L Chang, H Zhang - Knowledge-Based Systems, 2022 - Elsevier
Aspect sentiment triplet extraction (ASTE) is the most recent subtask of aspect-based
sentiment analysis (ABSA), and it aims to provide a complete solution for ABSA by extracting …
sentiment analysis (ABSA), and it aims to provide a complete solution for ABSA by extracting …
Learning logic rules for document-level relation extraction
Document-level relation extraction aims to identify relations between entities in a whole
document. Prior efforts to capture long-range dependencies have relied heavily on implicitly …
document. Prior efforts to capture long-range dependencies have relied heavily on implicitly …
[HTML][HTML] Syntax-enhanced aspect-based sentiment analysis with multi-layer attention
As a key task of fine-grained sentiment analysis, aspect-based sentiment analysis aims to
analyse people's opinions at the aspect level from user-generated texts. Various sub-tasks …
analyse people's opinions at the aspect level from user-generated texts. Various sub-tasks …
Open-domain aspect-opinion co-mining with double-layer span extraction
The aspect-opinion extraction tasks extract aspect terms and opinion terms from reviews.
The supervised extraction methods achieve state-of-the-art performance but require large …
The supervised extraction methods achieve state-of-the-art performance but require large …
Deep inductive logic reasoning for multi-hop reading comprehension
W Wang, S Pan - Proceedings of the 60th Annual Meeting of the …, 2022 - aclanthology.org
Multi-hop reading comprehension requires an ability to reason across multiple documents.
On the one hand, deep learning approaches only implicitly encode query-related …
On the one hand, deep learning approaches only implicitly encode query-related …