Papers by Lambert Deng

1 papers
Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents (2023.findings-eacl)

Copied to clipboard

Challenge: Existing datasets do not cover documents with complex spatial structures and a lack of spatial information for document entity classification.
Approach: They propose a new spatial bias in attention calculation based on the K-nearest-neighbor graph of document entities that limits entities’ attention to their local radius.
Outcome: The proposed model outperforms baselines in most entity types and is highly parameter-efficient compared to existing methods.

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