On the Computational Power of RNNs

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On the Computational Power of RNNs

14 June 2019

Samuel A. Korsky

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Papers citing "On the Computational Power of RNNs"

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Title
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning Franz Nowak Anej Svete Alexandra Butoi Ryan Cotterell ReLM LRM 99 17 0 20 Jun 2024
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages Nadav Borenstein Anej Svete R. Chan Josef Valvoda Franz Nowak Isabelle Augenstein Eleanor Chodroff Ryan Cotterell 79 13 0 06 Jun 2024
Evaluating the Ability of LSTMs to Learn Context-Free Grammars Luzi Sennhauser Robert C. Berwick 103 57 0 06 Nov 2018
On the Practical Computational Power of Finite Precision RNNs for Language Recognition Gail Weiss Yoav Goldberg Eran Yahav 87 267 0 13 May 2018
The Importance of Being Recurrent for Modeling Hierarchical Structure Ke M. Tran Arianna Bisazza Christof Monz 76 150 0 09 Mar 2018
Deep Learning for Sentiment Analysis : A Survey Lei Zhang Shuai Wang Bing-Quan Liu VLM 93 1,629 0 24 Jan 2018
Recurrent Neural Networks as Weighted Language Recognizers Yining Chen Sorcha Gilroy A. Maletti Jonathan May Kevin Knight 76 77 0 15 Nov 2017
Named Entity Recognition with Bidirectional LSTM-CNNs Jason P. C. Chiu Eric Nichols 89 1,900 0 26 Nov 2015
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems Tsung-Hsien Wen Milica Gasic N. Mrksic Pei-hao Su David Vandyke S. Young 115 951 0 07 Aug 2015