Papers by Hassan Shavarani

2 papers
Unified Examination of Entity Linking in Absence of Candidate Sets (2024.naacl-short)

Copied to clipboard

Challenge: Entity linking systems depend on candidate sets for their performance, but a comprehensive comparative analysis of these systems is lacking.
Approach: They propose a black-box benchmark and a method to evaluate all state-of-the-art entity linking methods.
Outcome: The proposed approach reduces the inference time and memory footprint of some models.
SpEL: Structured Prediction for Entity Linking (2023.emnlp-main)

Copied to clipboard

Challenge: Entity linking is a key component of structured data creation by linking spans of text to an ontology or knowledge source.
Approach: They propose to use structured prediction for entity linking to classify each input token as an entity and aggregate the token predictions.
Outcome: The proposed system outperforms the state-of-the-art on the commonly used AIDA benchmark dataset for entity linking to Wikipedia.

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