Neural Architectures for Fine-grained Entity Type Classification on ShortScience.org

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Neural Architectures for Fine-grained Entity Type Classification
Inui, Kentaro and Riedel, Sebastian and Stenetorp, Pontus and Shimaoka, Sonse
Association for Computational Linguistics EACL (1) - 2017 via Local Bibsonomy
Keywords: dblp

Summaries/Notes 1

[link] Summary by Marek Rei 6 years ago

They propose a neural architecture for assigning fine-grained labels to detected entity types. The model combines bidirectional LSTMs, attention over the context sequence, hand-engineered features, and the label hierarchy. They evaluate on Figer and OntoNotes datasets, showing improvements from each of the extensions.

https://i.imgur.com/HJL3CYy.png

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