Aspect Term Extraction and Sentiment Classification
6 papers with code • 1 benchmarks • 3 datasets
Extracting the aspect terms as well as the corresponding sentiment polarities simultaneously.
YASO
Most implemented papers
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis produces a list of aspect terms and their corresponding sentiments for a natural language sentence.
A Unified Generative Framework for Aspect-Based Sentiment Analysis
Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms, their corresponding sentiment polarities, and the opinion terms.
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification
huminghao16/SpanABSA
•
•
ACL 2019
Open-domain targeted sentiment analysis aims to detect opinion targets along with their sentiment polarities from a sentence.
Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) involves three subtasks, i. e., aspect term extraction, opinion term extraction, and aspect-level sentiment classification.
Constituency Lattice Encoding for Aspect Term Extraction
leekum2018/cle4ate
•
•
COLING 2020
One of the remaining challenges for aspect term extraction in sentiment analysis resides in the extraction of phrase-level aspect terms, which is non-trivial to determine the boundaries of such terms.
A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis
NUSTM/FS-ABSA
•
•
SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval 2023
In this work, we argue that two kinds of gaps, i. e., domain gap and objective gap, hinder the transfer of knowledge from pre-training language models (PLMs) to ABSA tasks.
