Papers with cross-document attention component

1 papers
Multilevel Text Alignment with Cross-Document Attention (2020.emnlp-main)

Copied to clipboard

Challenge: Existing alignment methods operate at a single, predefined level and cannot learn to align texts at sentence and document levels.
Approach: They propose a learning approach that equips hierarchical attention encoders for representing documents with a cross-document attention component, enabling structural comparisons across different levels.
Outcome: The proposed model outperforms existing hierarchical, attention encoders on citation recommendation and plagiarism detection 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