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How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization
  on Natural Text

How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text

1 October 2020
Chihiro Shibata
Kei Uchiumi
D. Mochihashi
ArXivPDFHTML

Papers citing "How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text"

4 / 4 papers shown
Title
Tracing and Manipulating Intermediate Values in Neural Math Problem
  Solvers
Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers
Yuta Matsumoto
Benjamin Heinzerling
Masashi Yoshikawa
Kentaro Inui
AIFin
30
5
0
17 Jan 2023
Formal Language Theory Meets Modern NLP
Formal Language Theory Meets Modern NLP
William Merrill
AI4CE
NAI
18
12
0
19 Feb 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
Multimodal Compact Bilinear Pooling for Visual Question Answering and
  Visual Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui
Dong Huk Park
Daylen Yang
Anna Rohrbach
Trevor Darrell
Marcus Rohrbach
167
1,464
0
06 Jun 2016
1