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2305.13658
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Understanding Compositional Data Augmentation in Typologically Diverse Morphological Inflection
23 May 2023
Farhan Samir
Miikka Silfverberg
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Papers citing
"Understanding Compositional Data Augmentation in Typologically Diverse Morphological Inflection"
16 / 16 papers shown
Title
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation
Shivanshu Gupta
Sameer Singh
Matt Gardner
64
7
0
16 Mar 2022
Unobserved Local Structures Make Compositional Generalization Hard
Ben Bogin
Shivanshu Gupta
Jonathan Berant
CoGe
54
33
0
15 Jan 2022
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization
I. Oren
Jonathan Herzig
Jonathan Berant
55
31
0
06 Sep 2021
(Un)solving Morphological Inflection: Lemma Overlap Artificially Inflates Models' Performance
Omer Goldman
David Guriel
Reut Tsarfaty
109
28
0
12 Aug 2021
A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
96
821
0
07 May 2021
Sequence-Level Mixed Sample Data Augmentation
Demi Guo
Yoon Kim
Alexander M. Rush
58
100
0
18 Nov 2020
Cold-start Active Learning through Self-supervised Language Modeling
Michelle Yuan
Hsuan-Tien Lin
Jordan L. Boyd-Graber
171
184
0
19 Oct 2020
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation
Najoung Kim
Tal Linzen
CoGe
46
279
0
12 Oct 2020
Learning to Recombine and Resample Data for Compositional Generalization
Ekin Akyürek
Afra Feyza Akyürek
Jacob Andreas
59
80
0
08 Oct 2020
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation
Bryan Eikema
Wilker Aziz
66
135
0
20 May 2020
Applying the Transformer to Character-level Transduction
Shijie Wu
Ryan Cotterell
Mans Hulden
AI4CE
48
106
0
20 May 2020
Pushing the Limits of Low-Resource Morphological Inflection
Antonios Anastasopoulos
Graham Neubig
40
77
0
16 Aug 2019
Good-Enough Compositional Data Augmentation
Jacob Andreas
61
234
0
21 Apr 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott
Sergey Edunov
Alexei Baevski
Angela Fan
Sam Gross
Nathan Ng
David Grangier
Michael Auli
VLM
FaML
95
3,147
0
01 Apr 2019
Linguistic generalization and compositionality in modern artificial neural networks
Marco Baroni
AI4CE
70
149
0
30 Mar 2019
A Kernel Theory of Modern Data Augmentation
Tri Dao
Albert Gu
Alexander J. Ratner
Virginia Smith
Christopher De Sa
Christopher Ré
98
193
0
16 Mar 2018
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