Small and Practical BERT Models for Sequence Labeling

31 August 2019

Papers citing "Small and Practical BERT Models for Sequence Labeling"

10 / 10 papers shown

Title
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT Shijie Wu Mark Dredze VLM SSeg 63 675 0 19 Apr 2019
75 Languages, 1 Model: Parsing Universal Dependencies Universally Dan Kondratyuk Milan Straka 60 264 0 03 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 961 93,936 0 11 Oct 2018
82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models Aaron Smith Bernd Bohnet Miryam de Lhoneux Joakim Nivre Yan Shao Sara Stymne 60 67 0 06 Sep 2018
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings Bernd Bohnet Ryan T. McDonald Gonçalo Simões D. Andor Emily Pitler Joshua Maynez AI4CE 48 94 0 21 May 2018
End-to-end Neural Coreference Resolution Kenton Lee Luheng He M. Lewis Luke Zettlemoyer LRM BDL 65 891 0 21 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 453 129,831 0 12 Jun 2017
Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data Irshad Ahmad Bhat Riyaz Ahmad Bhat Manish Shrivastava D. Sharma 47 31 0 31 Mar 2017
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 192 9,944 0 15 Jul 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 238 19,523 0 09 Mar 2015