Fine-Grained Entity Typing with High-Multiplicity Assignments

Maxim Rabinovich; Dan Klein

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arXiv · 1704.07751

Fine-Grained Entity Typing with High-Multiplicity Assignments

Maxim Rabinovich·Dan Klein

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Abstract

As entity type systems become richer and more fine-grained, we expect the number of types assigned to a given entity to increase. However, most fine-grained typing work has focused on datasets that exhibit a low degree of type multiplicity. In this paper, we consider the high-multiplicity regime inherent in data sources such as Wikipedia that have semi-open type systems. We introduce a set-prediction approach to this problem and show that our model outperforms unstructured baselines on a new Wikipedia-based fine-grained typing corpus.

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Maxim Rabinovich, Dan Klein. 2017-04-25. Fine-Grained Entity Typing with High-Multiplicity Assignments. https://arxiv.org/abs/1704.07751

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