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The paradox of the compositionality of natural language: a neural
  machine translation case study
v1v2 (latest)

The paradox of the compositionality of natural language: a neural machine translation case study

12 August 2021
Verna Dankers
Elia Bruni
Dieuwke Hupkes
    CoGe
ArXiv (abs)PDFHTML

Papers citing "The paradox of the compositionality of natural language: a neural machine translation case study"

29 / 29 papers shown
Title
Interpreting token compositionality in LLMs: A robustness analysis
Interpreting token compositionality in LLMs: A robustness analysis
Nura Aljaafari
Danilo S. Carvalho
André Freitas
135
3
0
16 Oct 2024
Can Transformers Jump Around Right in Natural Language? Assessing
  Performance Transfer from SCAN
Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN
Rahma Chaabouni
Roberto Dessì
Eugene Kharitonov
72
20
0
03 Jul 2021
The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual
  Machine Translation
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
Sanjan Krishnan
MarcÁurelio Ranzato
Francisco Guzman
Angela Fan
124
588
0
06 Jun 2021
On Compositional Generalization of Neural Machine Translation
On Compositional Generalization of Neural Machine Translation
Yafu Li
Yongjing Yin
Yulong Chen
Yue Zhang
215
46
0
31 May 2021
Sometimes We Want Translationese
Sometimes We Want Translationese
Prasanna Parthasarathi
Koustuv Sinha
J. Pineau
Adina Williams
AAML
63
4
0
15 Apr 2021
Compositional Generalization and Natural Language Variation: Can a
  Semantic Parsing Approach Handle Both?
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?
Peter Shaw
Ming-Wei Chang
Panupong Pasupat
Kristina Toutanova
CoGe
83
187
0
24 Oct 2020
The Tatoeba Translation Challenge -- Realistic Data Sets for Low
  Resource and Multilingual MT
The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MT
Jörg Tiedemann
230
171
0
13 Oct 2020
COGS: A Compositional Generalization Challenge Based on Semantic
  Interpretation
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation
Najoung Kim
Tal Linzen
CoGe
59
282
0
12 Oct 2020
LSTMs Compose (and Learn) Bottom-Up
LSTMs Compose (and Learn) Bottom-Up
Naomi Saphra
Adam Lopez
CoGe
57
18
0
06 Oct 2020
The Unreasonable Volatility of Neural Machine Translation Models
The Unreasonable Volatility of Neural Machine Translation Models
Marzieh Fadaee
Christof Monz
51
16
0
25 May 2020
Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM
  Language Models
Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models
Kaiji Lu
Piotr (Peter) Mardziel
Klas Leino
Matt Fredrikson
Anupam Datta
75
10
0
03 May 2020
Measuring Compositional Generalization: A Comprehensive Method on
  Realistic Data
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Daniel Keysers
Nathanael Scharli
Nathan Scales
Hylke Buisman
Daniel Furrer
...
Tibor Tihon
Dmitry Tsarkov
Tianlin Li
Marc van Zee
Olivier Bousquet
CoGe
68
355
0
20 Dec 2019
On Compositionality in Neural Machine Translation
On Compositionality in Neural Machine Translation
Vikas Raunak
Vaibhav Kumar
Florian Metze
61
17
0
04 Nov 2019
Analysing Neural Language Models: Contextual Decomposition Reveals
  Default Reasoning in Number and Gender Assignment
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment
Jaap Jumelet
Willem H. Zuidema
Dieuwke Hupkes
LRM
68
37
0
19 Sep 2019
Compositionality decomposed: how do neural networks generalise?
Compositionality decomposed: how do neural networks generalise?
Dieuwke Hupkes
Verna Dankers
Mathijs Mul
Elia Bruni
CoGe
162
339
0
22 Aug 2019
Compositional generalization through meta sequence-to-sequence learning
Compositional generalization through meta sequence-to-sequence learning
Brenden M. Lake
CoGe
93
199
0
12 Jun 2019
Transcoding compositionally: using attention to find more generalizable
  solutions
Transcoding compositionally: using attention to find more generalizable solutions
K. Korrel
Dieuwke Hupkes
Verna Dankers
Elia Bruni
53
31
0
04 Jun 2019
Siamese recurrent networks learn first-order logic reasoning and exhibit
  zero-shot compositional generalization
Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization
Mathijs Mul
Willem H. Zuidema
GNNReLMNAILRM
62
18
0
01 Jun 2019
Good-Enough Compositional Data Augmentation
Good-Enough Compositional Data Augmentation
Jacob Andreas
88
234
0
21 Apr 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott
Sergey Edunov
Alexei Baevski
Angela Fan
Sam Gross
Nathan Ng
David Grangier
Michael Auli
VLMFaML
132
3,159
0
01 Apr 2019
The emergence of number and syntax units in LSTM language models
The emergence of number and syntax units in LSTM language models
Yair Lakretz
Germán Kruszewski
T. Desbordes
Dieuwke Hupkes
S. Dehaene
Marco Baroni
65
172
0
18 Mar 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural
  Language Inference
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
R. Thomas McCoy
Ellie Pavlick
Tal Linzen
145
1,244
0
04 Feb 2019
Human few-shot learning of compositional instructions
Human few-shot learning of compositional instructions
Brenden M. Lake
Tal Linzen
Marco Baroni
80
112
0
14 Jan 2019
Jump to better conclusions: SCAN both left and right
Jump to better conclusions: SCAN both left and right
Jasmijn Bastings
Marco Baroni
Jason Weston
Kyunghyun Cho
Douwe Kiela
64
62
0
12 Sep 2018
Improving Text-to-SQL Evaluation Methodology
Improving Text-to-SQL Evaluation Methodology
Catherine Finegan-Dollak
Jonathan K. Kummerfeld
Li Zhang
Karthik Ramanathan
Sesh Sadasivam
Rui Zhang
Dragomir R. Radev
88
279
0
23 Jun 2018
Scaling Neural Machine Translation
Scaling Neural Machine Translation
Myle Ott
Sergey Edunov
David Grangier
Michael Auli
AIMat
194
615
0
01 Jun 2018
A Call for Clarity in Reporting BLEU Scores
A Call for Clarity in Reporting BLEU Scores
Matt Post
187
2,998
0
23 Apr 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
811
132,725
0
12 Jun 2017
Cognitive Science in the era of Artificial Intelligence: A roadmap for
  reverse-engineering the infant language-learner
Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner
Emmanuel Dupoux
68
158
0
29 Jul 2016
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