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  ENTYFI: A System for Fine-grained Entity Typing in Fictional Texts

Chu, C. X., Razniewski, S., & Weikum, G. (2020). ENTYFI: A System for Fine-grained Entity Typing in Fictional Texts. In Q. Liu, & D. Schlangen (Eds.), The 2020 Conference on Empirical Methods in Natural Language Processing (pp. 100-106). Stroudsburg, PA: ACM. doi:10.18653/v1/2020.emnlp-demos.14.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-EED5-D Version Permalink: https://hdl.handle.net/21.11116/0000-0007-EEDE-4
Genre: Conference Paper
Latex : {ENTYFI}: {A} System for Fine-grained Entity Typing in Fictional Texts

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https://www.aclweb.org/anthology/2020.emnlp-demos.14.pdf (Publisher version)
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 Creators:
Chu, Cuong Xuan1, Author           
Razniewski, Simon1, Author           
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Language(s): eng - English
 Dates: 2020
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Chu_EMNLP20
URI: https://www.aclweb.org/anthology/2020.emnlp-demos.14/
DOI: 10.18653/v1/2020.emnlp-demos.14
 Degree: -

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Title: Conference on Empirical Methods in Natural Language Processing
Place of Event: Online
Start-/End Date: 2020-11-16 - 2020-11-20

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Title: The 2020 Conference on Empirical Methods in Natural Language Processing
  Abbreviation : EMNLP 2020
  Subtitle : Proceedings of Systems Demonstrations
Source Genre: Proceedings
 Creator(s):
Liu, Qun1, Editor
Schlangen, David1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Stroudsburg, PA : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 100 - 106 Identifier: ISBN: 978-1-952148-62-0