Fetching the paper…
Reading the bibliography…
Automatic speech recognition (ASR) systems are primarily evaluated on transcription accuracy.
Length-controllable abstractive summarization by guiding with summary prototype
Itsumi Saito, Kyosuke Nishida, Kosuke Nishida, Atsushi Otsuka, Hisako Asano, Junji Tomita, Hiroyuki Shindo, and Yuji Matsumoto. 2020 · 2001
Earlier work this paper cites.
Summarization beyond sentence extraction: A probabilistic approach to sentence compression
Kevin Knight and Daniel Marcu. 2002 · 2002
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Machine translation with unsupervised length-constraints
Jan Niehues. 2020 · 2004
Earlier work this paper cites.
Models for sentence compression: A comparison across domains, training requirements and evaluation measures
James Clarke and Mirella Lapata. 2006 · 2006
Earlier work this paper cites.
Sentence compression beyond word deletion
Trevor Cohn and Mirella Lapata. 2008 · 2008
Earlier work this paper cites.
The Kaldi speech recognition toolkit
Daniel Povey, Arnab Ghoshal, Gilles Boulianne, Lukas Burget, Ondrej Glembek, Nagendra Goel, Mirko Hannemann, Petr Motlicek, Yanmin Qian, Petr Schwarz, Jan Silovsky, Georg Stemmer, and Karel Vesely. 2011 · 2011
Earlier work this paper cites.
Sentence compression by deletion with LSTMs
Katja Filippova, Enrique Alfonseca, Carlos A. Colmenares, Lukasz Kaiser, and Oriol Vinyals. 2015 · 2015
Earlier work this paper cites.
A neural attention model for abstractive sentence summarization
Alexander M. Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
Earlier work this paper cites.
Abstractive sentence summarization with attentive recurrent neural networks
Sumit Chopra, Michael Auli, and Alexander M. Rush. 2016 · 2016
Earlier work this paper cites.
Toward multilingual neural machine translation with universal encoder and decoder
Thanh-Le Ha, Jan Niehues, and Alexander Waibel. 2017 · 2016
Cited alongside, same era.
Controlling output length in neural encoder-decoders
Yuta Kikuchi, Graham Neubig, Ryohei Sasano, Hiroya Takamura, and Manabu Okumura. 2016 · 2016
Cited alongside, same era.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Cited alongside, same era.
Overview of the IWSLT 2017 evaluation campaign
Mauro Cettolo, Marcello Federico, Luisa Bentivogli, Jan Niehues, Sebastian Stüker, Katsuitho Sudoh, Koichiro Yoshino, and Christian Federmann. 2017 · 2017
Cited alongside, same era.
Google’s multilingual neural machine translation system: Enabling zero-shot translation
Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2017 · 2017
Cited alongside, same era.
Controlling length in abstractive summarization using a convolutional neural network
Yizhu Liu, Zhiyi Luo, and Kenny Zhu. 2018 · 2018
Later among the works it cites.
An operation network for abstractive sentence compression
Naitong Yu, Jie Zhang, Minlie Huang, and Xiaoyan Zhu. 2018 · 2018
Later among the works it cites.
Automatic compression of subtitles with neural networks and its effect on user experience
Katrin Angerbauer, Heike Adel, and Ngoc Thang Vu. 2019 · 2019
Later among the works it cites.
Streaming end-to-end speech recognition for mobile devices
Y. He, T. N. Sainath, R. Prabhavalkar, I. McGraw, R. Alvarez, D. Zhao, D. Rybach, A. Kannan, Y. Wu, R. Pang, Q. Liang, D. Bhatia, Y. Shangguan, B. Li, G. Pundak, K. C. Sim, T. Bagby, S. Chang, K. Rao, and A. Gruenstein. 2019 · 2019
Later among the works it cites.
Controlling the output length of neural machine translation
Surafel Melaku Lakew, Mattia Di Gangi, and Marcello Federico. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Acoustic modeling for google home
Bo Li, Tara N Sainath, Arun Narayanan, Joe Caroselli, Michiel Bacchiani, Ananya Misra, Izhak Shafran, Hasim Sak, Golan Pundak, Kean K Chin, et al. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, undefinedukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Controllable abstractive summarization
Angela Fan, David Grangier, and Michael Auli. 2018 · 2018
Cited alongside, same era.
Unsupervised sentence compression using denoising auto-encoders
Thibault Fevry and Jason Phang. 2018 · 2018
Cited alongside, same era.
Global optimization under length constraint for neural text summarization
Takuya Makino, Tomoya Iwakura, Hiroya Takamura, and Manabu Okumura. 2019 · 2019
Later among the works it cites.
Very deep self-attention networks for end-to-end speech recognition
Ngoc-Quan Pham, Thai-Son Nguyen, Jan Niehues, Markus Müller, and Alex Waibel. 2019 · 2019
Later among the works it cites.
Positional encoding to control output sequence length
Sho Takase and Naoaki Okazaki. 2019 · 2019
Later among the works it cites.
LibriVoxDeEn: A corpus for German-to-English speech translation and speech recognition
Benjamin Beilharz, Xin Sun, Sariya Karimova, and Stefan Riezler. 2020 · 2020
Closest in time.