Papers by Philip Blair

2 papers
Improving Few-Shot Domain Transfer for Named Entity Disambiguation with Pattern Exploitation (2022.findings-emnlp)

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Challenge: Named entity disambiguation is a critical subtask of entity linking . a model can be trained on a domain, but it needs to be adapted to the domain .
Approach: They propose to reformulate named entity disambiguation as a masked language modeling problem.
Outcome: The proposed model improves on a mental health news dataset without sacrifices in accuracy.
JRC-Names-Retrieval: A Standardized Benchmark for Name Search (2024.lrec-main)

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Challenge: a lack of research on the ability to search through databases of personal and organization name is hindering this area . specialized indexing methods which understand the structure of names are essential to efficient performance.
Approach: They propose a neural solution which provides a 12% performance gain over baselines . they propose specialized indexing methods which understand the structure of names .
Outcome: The proposed solution shows up to 12% performance gain over baselines . the proposed solution is compared against a similar dataset from a different dataset .

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