Fetching the paper…
Reading the bibliography…
Fine-Grained Named Entity Typing (FG-NET) aims at classifying the entity mentions into a wide range of entity types (usually hundreds) depending upon the context.
Long Short-Term Memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Learning surface text patterns for a question answering system. In Proceedings of the 40th annual meeting on association for computational linguistics . Association for Computational Linguistics, 41–47
Deepak Ravichandran and Eduard Hovy. 2002 · 2002
Earlier work this paper cites.
BBN pronoun coreference and entity type corpus
Ralph Weischedel and Ada Brunstein. 2005 · 2005
Earlier work this paper cites.
Relational retrieval using a combination of path-constrained random walks
Ni Lao and William W Cohen. 2010 · 2010
Earlier work this paper cites.
OntoNotes Release 4.0
Ralph Weischedel, Sameer Pradhan, Lance Ramshaw, Martha Palmer, Nianwen Xue, Mitchell Marcus, Ann Taylor, Craig Greenberg, Eduard Hovy, Robert Belvin, et al · 2011
Earlier work this paper cites.
Fine-Grained Entity Recognition. In AAAI . AAAI Press
Xiao Ling and Daniel S. Weld. 2012 · 2012
Earlier work this paper cites.
Probase: a probabilistic taxonomy for text understanding. In SIGMOD Conference . ACM, 481–492
Wentao Wu, Hongsong Li, Haixun Wang, and Kenny Qili Zhu. 2012 · 2012
Earlier work this paper cites.
Improving efficiency and accuracy in multilingual entity extraction. In I-SEMANTICS . ACM, 121–124
Joachim Daiber, Max Jakob, Chris Hokamp, and Pablo N. Mendes. 2013 · 2013
Earlier work this paper cites.
Mohamed Amir Yosef, Sandro Bauer, Johannes Hoffart, Marc Spaniol, and Gerhard Weikum. 2013 · 2013
Earlier work this paper cites.
Knowledge vault: a web-scale approach to probabilistic knowledge fusion. In KDD . ACM, 601–610
Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, and Wei Zhang. 2014 · 2014
Cited alongside, same era.
Context-Dependent Fine-Grained Entity Type Tagging
Dan Gillick, Nevena Lazic, Kuzman Ganchev, Jesse Kirchner, and David Huynh. 2014 · 2014
Cited alongside, same era.
Glove: Global Vectors for Word Representation. In EMNLP . ACL, 1532–1543
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
Cited alongside, same era.
Adam: A Method for Stochastic Optimization. In ICLR (Poster)
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
Cited alongside, same era.
Embedding Methods for Fine Grained Entity Type Classification. In ACL (2) . The Association for Computer Linguistics, 291–296
Dani Yogatama, Daniel Gillick, and Nevena Lazic. 2015 · 2015
Cited alongside, same era.
Poincaré Embeddings for Learning Hierarchical Representations. In NIPS . 6338–6347
Maximilian Nickel and Douwe Kiela. 2017 · 2017
Later among the works it cites.
Ultra-Fine Entity Typing. In ACL (1) . Association for Computational Linguistics, 87–96
Eunsol Choi, Omer Levy, Yejin Choi, and Luke Zettlemoyer. 2018 · 2018
Later among the works it cites.
Embedding Text in Hyperbolic Spaces. In TextGraphs@NAACL-HLT . Association for Computational Linguistics, 59–69
Bhuwan Dhingra, Christopher J. Shallue, Mohammad Norouzi, Andrew M. Dai, and George E. Dahl. 2018 · 2018
Later among the works it cites.
Deep Contextualized Word Representations. In NAACL-HLT . Association for Computational Linguistics, 2227–2237
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Later among the works it cites.
Put It Back: Entity Typing with Language Model Enhancement. In EMNLP . Association for Computational Linguistics, 993–998
Ji Xin, Hao Zhu, Xu Han, Zhiyuan Liu, and Maosong Sun. 2018 · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
An Attentive Neural Architecture for Fine-grained Entity Type Classification. In AKBC@NAACL-HLT . The Association for Computer Linguistics, 69–74
Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, and Sebastian Riedel. 2016 · 2016
Cited alongside, same era.
Noise mitigation for neural entity typing and relation extraction
Yadollah Yaghoobzadeh, Heike Adel, and Hinrich Schütze. 2016 · 2016
Cited alongside, same era.
Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings. In EACL (1) . Association for Computational Linguistics, 797–807
Abhishek, Ashish Anand, and Amit Awekar. 2017 · 2017
Cited alongside, same era.
Semi-Supervised Classification with Graph Convolutional Networks. In ICLR (Poster) . OpenReview.net
Thomas N. Kipf and Max Welling. 2017 · 2017
Cited alongside, same era.
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. In EMNLP . The Association for Computational Linguistics, 1369–1378
Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, and Jiawei Han. 2016a
Cited in the paper.
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. In KDD . ACM, 1825–1834
Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, and Jiawei Han. 2016b
Cited in the paper.
Later among the works it cites.
Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss. In NAACL-HLT . Association for Computational Linguistics, 16–25
Peng Xu and Denilson Barbosa. 2018 · 2018
Later among the works it cites.
Hyperbolic Graph Convolutional Neural Networks. In NeurIPS . 4869–4880
Ines Chami, Zhitao Ying, Christopher Ré, and Jure Leskovec. 2019 · 2019
Later among the works it cites.
Fine-Grained Entity Typing in Hyperbolic Space. In RepL4NLP@ACL . Association for Computational Linguistics, 169–180
Federico López, Benjamin Heinzerling, and Michael Strube. 2019 · 2019
Later among the works it cites.
Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations. In AAAI . AAAI Press, 7391–7398
Muhammad Asif Ali, Yifang Sun, Bing Li, and Wei Wang. 2020 · 2020
Later among the works it cites.