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On Using Distribution-Based Compositionality Assessment to Evaluate
  Compositional Generalisation in Machine Translation

On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation

14 November 2023
Anssi Moisio
Mathias Creutz
M. Kurimo
    CoGe
ArXiv (abs)PDFHTMLGithub

Papers citing "On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation"

14 / 14 papers shown
Title
Subword Segmental Machine Translation: Unifying Segmentation and Target
  Sentence Generation
Subword Segmental Machine Translation: Unifying Segmentation and Target Sentence Generation
Francois Meyer
Jan Buys
73
8
0
11 May 2023
Real-World Compositional Generalization with Disentangled
  Sequence-to-Sequence Learning
Real-World Compositional Generalization with Disentangled Sequence-to-Sequence Learning
Hao Zheng
Mirella Lapata
OODCoGeDRL
64
5
0
12 Dec 2022
Systematicity, Compositionality and Transitivity of Deep NLP Models: a
  Metamorphic Testing Perspective
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective
Edoardo Manino
Julia Rozanova
Danilo S. Carvalho
André Freitas
Lucas C. Cordeiro
69
9
0
26 Apr 2022
Data Distributional Properties Drive Emergent In-Context Learning in
  Transformers
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Stephanie C. Y. Chan
Adam Santoro
Andrew Kyle Lampinen
Jane X. Wang
Aaditya K. Singh
Pierre Harvey Richemond
J. Mcclelland
Felix Hill
173
266
0
22 Apr 2022
Evaluating Distributional Distortion in Neural Language Modeling
Evaluating Distributional Distortion in Neural Language Modeling
Benjamin LeBrun
Alessandro Sordoni
Timothy J. O'Donnell
75
23
0
24 Mar 2022
On Compositional Generalization of Neural Machine Translation
On Compositional Generalization of Neural Machine Translation
Yafu Li
Yongjing Yin
Yulong Chen
Yue Zhang
224
46
0
31 May 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
85
187
0
24 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
62
282
0
12 Oct 2020
We Need to Talk About Random Splits
We Need to Talk About Random Splits
Anders Søgaard
Sebastian Ebert
Jasmijn Bastings
Katja Filippova
89
100
0
01 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
72
17
0
04 Nov 2019
Does Learning Require Memorization? A Short Tale about a Long Tail
Does Learning Require Memorization? A Short Tale about a Long Tail
Vitaly Feldman
TDI
152
502
0
12 Jun 2019
OpenNMT: Open-Source Toolkit for Neural Machine Translation
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
Yoon Kim
Yuntian Deng
Jean Senellart
Alexander M. Rush
340
1,900
0
10 Jan 2017
Neural Machine Translation of Rare Words with Subword Units
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
258
7,765
0
31 Aug 2015
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