11 citations · 18 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
Measuring Social Bias in Knowledge Graph Embeddings
Joseph Fisher, Dave Palfrey, Christos Christodoulopoulos +1
It has recently been shown that word embeddings encode social biases, with a harmful impact on downstream tasks. However, to this point there has been no similar work done in the f…
Merge and Label: A novel neural network architecture for nested NER
Joseph Fisher, Andreas Vlachos
Named entity recognition (NER) is one of the best studied tasks in natural language processing. However, most approaches are not capable of handling nested structures which are com…