Bootleg: Chasing the Tail of Self-Supervised Named Entity Disambiguation (CIDR 2021)
Автор: HazyResearch
Загружено: 2021-01-12
Просмотров: 434
Описание:
We present our work on Bootleg, a self-supervised named entity disambiguation (NED) system that links mentions in text to entities in a knowledge base. Bootleg is built to improve disambiguation of entities which appear infrequently in training data, called tail entities. The tail is where disambiguation gets interesting as models cannot rely on learned textual cues. See how we solve this using structured data over entity types and relations. We further discuss the challenges of managing entity embeddings in downstream systems.
Blog: https://hazyresearch.stanford.edu/boo...
Code: https://github.com/HazyResearch/bootleg
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