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Part & Whole Extraction: Towards A Deep Understanding of Quantitative Facts for Percentages in Text

Part & Whole Extraction: Towards A Deep Understanding of Quantitative Facts for Percentages in Text

Lei Fang
Jian-Guang Lou
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Papers citing "Part & Whole Extraction: Towards A Deep Understanding of Quantitative Facts for Percentages in Text"

3 / 3 papers shown
Title
Neural Speed Reading with Structural-Jump-LSTM
Neural Speed Reading with Structural-Jump-LSTM
Christian B. Hansen
Casper Hansen
Stephen Alstrup
J. Simonsen
Christina Lioma
34
36
0
20 Mar 2019
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
58
11,520
0
15 Feb 2018
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Victor Campos
Brendan Jou
Xavier Giró-i-Nieto
Jordi Torres
Shih-Fu Chang
36
217
0
22 Aug 2017

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