Fetching the paper…
Reading the bibliography…
Obtaining human-like performance in NLP is often argued to require compositional generalisation.
Mathijs Mul and Willem Zuidema. 2019 · 1906
Earlier work this paper cites.
Compositionality
Barbara Partee. 1984 · 1984
Earlier work this paper cites.
On Learning the Past Tenses of English Verbs
D E Rumelhart and J McClelland. 1986 · 1986
Earlier work this paper cites.
Connectionism and cognitive architecture: A critical analysis
Jerry A Fodor and Zenon W Pylyshyn. 1988 · 1988
Earlier work this paper cites.
Tensor product variable binding and the representation of symbolic structures in connectionist systems
Paul Smolensky. 1990 · 1990
Earlier work this paper cites.
The rosetta characteristics
MT Rosetta. 1994 · 1994
Earlier work this paper cites.
Compositionality
Theo MV Janssen and Barbara H Partee. 1997 · 1997
Earlier work this paper cites.
Algebraic translations, correctness and algebraic compiler construction
Theo MV Janssen. 1998 · 1998
Earlier work this paper cites.
The (dis)organization of the grammar: 25 years
Pauline Jacobson. 2002 · 2002
Earlier work this paper cites.
On the compositionality of idioms
Dag Westerståhl. 2002 · 2002
Earlier work this paper cites.
The algebraic mind: Integrating connectionism and cognitive science
Gary F Marcus. 2003 · 2003
Earlier work this paper cites.
Compositionality ii: Arguments and problems
Peter Pagin and Dag Westerståhl. 2010 · 2010
Earlier work this paper cites.
The dual-mechanism debate
Martina Penke. 2012 · 2012
Earlier work this paper cites.
The case for compositionality
Zoltan Szabó. 2012 · 2012
Earlier work this paper cites.
Most “babies” are “little” and most “problems” are “huge”: Compositional entailment in adjective-nouns
Ellie Pavlick and Chris Callison-Burch. 2016 · 2016
Earlier work this paper cites.
Data-oriented parsing with discontinuous constituents and function tags
Andreas Van Cranenburgh, Remko Scha, and Rens Bod. 2016 · 2016
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Jump to better conclusions: SCAN both left and right
Jasmijn Bastings, Marco Baroni, Jason Weston, Kyunghyun Cho, and Douwe Kiela. 2018 · 2018
Cited alongside, same era.
Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner
Emmanuel Dupoux. 2018 · 2018
Cited alongside, same era.
Improving text-to-SQL evaluation methodology
Catherine Finegan-Dollak, Jonathan K Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, and Dragomir Radev. 2018 · 2018
Cited alongside, same era.
The unreasonable volatility of neural machine translation models
Marzieh Fadaee and Christof Monz. 2020 · 2020
Later among the works it cites.
Magpie: A large corpus of potentially idiomatic expressions
Hessel Haagsma, Johan Bos, and Malvina Nissim. 2020 · 2020
Later among the works it cites.
Compositionality decomposed: How do neural networks generalise?
Dieuwke Hupkes, Verna Dankers, Mathijs Mul, and Elia Bruni. 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.
A puzzle concerning compositionality in machines
Ryan M Nefdt. 2020 · 2020
Later among the works it cites.
LSTMs compose—and Learn—Bottom-up
Naomi Saphra and Adam Lopez. 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Brenden Lake and Marco Baroni. 2018 · 2018
Cited alongside, same era.
Scaling neural machine translation
Myle Ott, Sergey Edunov, David Grangier, and Michael Auli. 2018 · 2018
Cited alongside, same era.
A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
Cited alongside, same era.
Open Compositionality: Toward a New Methodology of Language
Eduardo García-Ramírez. 2019 · 2019
Cited alongside, same era.
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, et al. 2019 · 2019
Cited alongside, same era.
Transcoding compositionally: Using attention to find more generalizable solutions
Kris Korrel, Dieuwke Hupkes, Verna Dankers, and Elia Bruni. 2019 · 2019
Cited alongside, same era.
Human few-shot learning of compositional instructions
Brenden M. Lake, Tal Linzen, and Marco Baroni. 2019 · 2019
Cited alongside, same era.
The Tatoeba translation challenge – realistic data sets for low resource and multilingual MT
Jörg Tiedemann. 2020 · 2020
Later among the works it cites.
OPUS-MT – building open translation services for the world
Jörg Tiedemann and Santhosh Thottingal. 2020 · 2020
Later among the works it cites.
Compositionality in a parallel architecture for language processing
Giosuè Baggio. 2021 · 2021
Closest in time.
Can transformers jump around right in natural language? assessing performance transfer from scan
Rahma Chaabouni, Roberto Dessì, and Eugene Kharitonov. 2021 · 2021
Closest in time.
Generalising to German plural noun classes, from the perspective of a recurrent neural network
Verna Dankers, Anna Langedijk, Kate McCurdy, Adina Williams, and Dieuwke Hupkes. 2021 · 2021
Closest in time.
The FLORES-101 evaluation benchmark for low-resource and multilingual machine translation
Naman Goyal, Cynthia Gao, Vishrav Chaudhary, Peng-Jen Chen, Guillaume Wenzek, Da Ju, Sanjana Krishnan, Marc’Aurelio Ranzato, Francisco Guzman, and Angela Fan. 2021 · 2021
Closest in time.
On compositional generalization of neural machine translation
Yafu Li, Yongjing Yin, Yulong Chen, and Yue Zhang. 2021 · 2021
Closest in time.
Sometimes we want ungrammatical translations
Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, and Adina Williams. 2021 · 2021
Closest in time.
Compositional generalization and natural language variation: Can a semantic parsing approach handle both?
Peter Shaw, Ming-Wei Chang, Panupong Pasupat, and Kristina Toutanova. 2021 · 2021
Closest in time.