Papers with Aspect-based summarization

2 papers
WikiAsp: A Dataset for Multi-domain Aspect-based Summarization (2021.tacl-1)

Copied to clipboard

Challenge: Existing aspects-based summarization models are domain-specific due to large differences in the type of aspects for different domains.
Approach: They propose a large-scale dataset for multi-domain aspect-based summarization using Wikipedia articles from 20 different domains.
Outcome: The proposed model is based on Wikipedia articles from 20 different domains and uses the section titles and boundaries of each article as a proxy for aspect annotation.
Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Texts (2024.findings-emnlp)

Copied to clipboard

Challenge: Current research focuses on predefined aspects within structured texts, neglecting complexities of dynamic and disordered environments.
Approach: They propose a benchmark for dynamic aspect-based summarization tailored to unstructured text.
Outcome: The proposed benchmark addresses the complexities of dynamic and disordered environments in unstructured text.

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