@inproceedings{rabinovich-klein-2017-fine,
title = "Fine-Grained Entity Typing with High-Multiplicity Assignments",
author = "Rabinovich, Maxim and
Klein, Dan",
editor = "Barzilay, Regina and
Kan, Min-Yen",
booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
month = jul,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P17-2052",
doi = "10.18653/v1/P17-2052",
pages = "330--334",
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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%0 Conference Proceedings
%T Fine-Grained Entity Typing with High-Multiplicity Assignments
%A Rabinovich, Maxim
%A Klein, Dan
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F rabinovich-klein-2017-fine
%X 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.
%R 10.18653/v1/P17-2052
%U https://aclanthology.org/P17-2052
%U https://doi.org/10.18653/v1/P17-2052
%P 330-334
Markdown (Informal)
[Fine-Grained Entity Typing with High-Multiplicity Assignments](https://aclanthology.org/P17-2052) (Rabinovich & Klein, ACL 2017)
ACL