Fetching the paper…
Reading the bibliography…
Sequence-to-sequence transduction is the core problem in language processing applications as diverse as semantic parsing, machine translation, and instruction following.
Compositional generalization in a deep seq2seq model by separating syntax and semantics
Jake Russin, Jason Jo, Randall C O’Reilly, and Yoshua Bengio. 2019 · 1904
Earlier work this paper cites.
Pointer-based fusion of bilingual lexicons into neural machine translation
Jetic Gū, Hassan S Shavarani, and Anoop Sarkar. 2019 · 1909
Earlier work this paper cites.
Maximum likelihood from incomplete data via the EM algorithm
Arthur P Dempster, Nan M Laird, and Donald B Rubin. 1977 · 1977
Earlier work this paper cites.
Acquiring a single new word
Susan Carey and Elsa Bartlett. 1978 · 1978
Earlier work this paper cites.
Connectionism and cognitive architecture: A critical analysis
Jerry A Fodor, Zenon W Pylyshyn, et al. 1988 · 1988
Earlier work this paper cites.
The mathematics of statistical machine translation: Parameter estimation
Peter F Brown, Stephen A Della Pietra, Vincent J Della Pietra, and Robert L Mercer. 1993 · 1993
Earlier work this paper cites.
Head-driven phrase structure grammar
Carl Pollard and Ivan A Sag. 1994 · 1994
Earlier work this paper cites.
Tree-adjoining grammars
Aravind K Joshi and Yves Schabes. 1997 · 1997
Earlier work this paper cites.
BLEU: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Compositional neural machine translation by removing the lexicon from syntax
Tristan Thrush. 2020 · 2002
Earlier work this paper cites.
Statistical phrase-based translation
Philipp Koehn, F. Och, and D. Marcu. 2003 · 2003
Earlier work this paper cites.
A Bayesian framework for cross-situational word-learning
Michael C. Frank, Noah D. Goodman, and J. Tenenbaum. 2007 · 2007
Earlier work this paper cites.
Compositional generalization in semantic parsing: Pre-training vs. specialized architectures
Daniel Furrer, Marc van Zee, Nathan Scales, and Nathanael Schärli. 2020 · 2007
Earlier work this paper cites.
Nonparametric Bayesian Models of Lexican Acquisition
Sharon J Goldwater. 2007 · 2007
Earlier work this paper cites.
Learning bilingual lexicons from monolingual corpora
A. Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, and D. Klein. 2008 · 2008
Cited alongside, same era.
Learning semantic correspondences with less supervision
Percy Liang, Michael I Jordan, and Dan Klein. 2009 · 2009
Cited alongside, same era.
Modeling letter-to-phoneme conversion as a phrase based statistical machine translation problem with minimum error rate training
Taraka Rama, Anil Kumar Singh, and Sudheer Kolachina. 2009 · 2009
Cited alongside, same era.
Lexical generalization in CCG grammar induction for semantic parsing
T. Kwiatkowski, Luke Zettlemoyer, S. Goldwater, and Mark Steedman. 2011 · 2011
Cited alongside, same era.
A simple, fast, and effective reparameterization of IBM Model 2
Chris Dyer, Victor Chahuneau, and Noah A Smith. 2013 · 2013
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Deep learning: A critical appraisal
Gary Marcus. 2018 · 2018
Later among the works it cites.
Improving lexical choice in neural machine translation
Toan Q. Nguyen and David Chiang. 2018 · 2018
Later among the works it cites.
Towards one-shot learning for rare-word translation with external experts
Ngoc-Quan Pham, Jan Niehues, and Alex Waibel. 2018 · 2018
Later among the works it cites.
Permutation equivariant models for compositional generalization in language
Jonathan Gordon, David Lopez-Paz, Marco Baroni, and Diane Bouchacourt. 2019 · 2019
Later among the works it cites.
Human few-shot learning of compositional instructions
B. Lake, Tal Linzen, and M. Baroni. 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…
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Lexical-functional syntax
Joan Bresnan, Ash Asudeh, Ida Toivonen, and Stephen Wechsler. 2015 · 2015
Cited alongside, same era.
Learning to transduce with unbounded memory
Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
Cited alongside, same era.
Incorporating discrete translation lexicons into neural machine translation
Philip Arthur, Graham Neubig, and Satoshi Nakamura. 2016 · 2016
Cited alongside, same era.
Data recombination for neural semantic parsing
Robin Jia and Percy Liang. 2016 · 2016
Cited alongside, same era.
Convolutional sequence to sequence learning
Jonas Gehring, M. Auli, David Grangier, Denis Yarats, and Yann Dauphin. 2017 · 2017
Cited alongside, same era.
Language acquisition: The growth of grammar
Maria Teresa Guasti. 2017 · 2017
Cited alongside, same era.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2019
Later among the works it cites.
Good-enough compositional data augmentation
Jacob Andreas. 2020 · 2020
Later among the works it cites.
Mutual exclusivity as a challenge for deep neural networks
Kanishk Gandhi and Brenden M Lake. 2020 · 2020
Later among the works it cites.
Measuring compositional generalization: A comprehensive method on realistic data
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, and Olivier Bousquet. 2020 · 2020
Later among the works it cites.
COGS: A compositional generalization challenge based on semantic interpretation
Najoung Kim and Tal Linzen. 2020 · 2020
Later among the works it cites.
Compositional generalization by learning analytical expressions
Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, and Dongmei Zhang. 2020 · 2020
Later among the works it cites.
Learning compositional rules via neural program synthesis
Maxwell Nye, Armando Solar-Lezama, Josh Tenenbaum, and Brenden M Lake. 2020 · 2020
Later among the works it cites.
Making a point: Pointer-generator transformers for disjoint vocabularies
Nikhil Prabhu and K. Kann. 2020 · 2020
Later among the works it cites.
Learning to recombine and resample data for compositional generalization
Ekin Akyürek, Afra Feyza Akyürek, and Jacob Andreas. 2021 · 2021
Closest in time.