Papers with aspect-category sentiment analysis

2 papers
Aspect Based Sentiment Analysis with Gated Convolutional Networks (P18-1)

Copied to clipboard

Challenge: Aspect-based sentiment analysis can provide more detailed information than general sentiment analysis.
Approach: They propose a model based on convolutional neural networks and gating mechanisms which can selectively output the sentiment features according to the given aspect or entity.
Outcome: The proposed model can selectively output sentiment features according to the given aspect or entity.
A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis (2020.emnlp-main)

Copied to clipboard

Challenge: Sentiment analysis is an increasingly popular natural language processing task in academia and industry.
Approach: They propose to use category name encoding network to weaken catastrophic forgetting problem . they set both encoder and decoder shared among all categories to weaker the catastrophic forgetting problem a .
Outcome: The proposed model achieves state-of-the-art on two (T)ACSA benchmark datasets.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations