Papers by Mo El-Haj

1 papers
LENS: Learning Entities from Narratives of Skin Cancer (2025.coling-demos)

Copied to clipboard

Challenge: Learning entities from narratives of skin cancer (LENS) is an automatic entity recognition system built on colloquial writings from skin cancer-related forums.
Approach: They propose to use reddit forums to create an automatic entity recognition system that can be used to predict skin cancer outcomes.
Outcome: LENS achieves an overall entity-level F1 score of 0.561 . other notable results include “CANC_T” (0.747), “STG” (0.888), “POB” (0.914), “GENDER” (0.750), “A/G” (00.646), “EMO” (0.619), and “MHD” (0.503).

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