Papers by Ondrej Prazak

1 papers
Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks (2024.lrec-main)

Copied to clipboard

Challenge: 3.1K reviews are manually annotated for aspect-based sentiment analysis (ABSA) ABSA is a fine-grained task that aims to identify the sentiment associated with each aspect or characteristic of a text.
Approach: They propose a new Czech dataset for aspect-based sentiment analysis . the new dataset is built upon the older Czech dataset . authors provide 24M reviews without annotations suitable for unsupervised learning .
Outcome: The proposed dataset is built upon the older dataset, but is specifically designed for more complex tasks.

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