6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2024
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking
Nacime Bouziani, Shubhi Tyagi, Joseph Fisher +2
Extracting structured information from unstructured text is critical for many downstream NLP applications and is traditionally achieved by closed information extraction (cIE). Howe…
cs.CL2022★ 6 cited
ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking
Tom Ayoola, Shubhi Tyagi, Joseph Fisher +2
We introduce ReFinED, an efficient end-to-end entity linking model which uses fine-grained entity types and entity descriptions to perform linking. The model performs mention detec…
cs.CL2022★ 1 cited
Improving Entity Disambiguation by Reasoning over a Knowledge Base
Tom Ayoola, Joseph Fisher, Andrea Pierleoni
Recent work in entity disambiguation (ED) has typically neglected structured knowledge base (KB) facts, and instead relied on a limited subset of KB information, such as entity des…