343 citations · 620 across the 68 of their papers we have counts for
12 papers · 1 filter
Towards Robust Toxic Content Classification
Keita Kurita, Anna Belova, Antonios Anastasopoulos
Toxic content detection aims to identify content that can offend or harm its recipients. Automated classifiers of toxic content need to be robust against adversaries who deliberate…
A Resource for Computational Experiments on Mapudungun
Mingjun Duan, Carlos Fasola, Sai Krishna Rallabandi +4
We present a resource for computational experiments on Mapudungun, a polysynthetic indigenous language spoken in Chile with upwards of 200 thousand speakers. We provide 142 hours o…
Optimizing Data Usage via Differentiable Rewards
Xinyi Wang, Hieu Pham, Paul Michel +3
To acquire a new skill, humans learn better and faster if a tutor, based on their current knowledge level, informs them of how much attention they should pay to particular content…
Should All Cross-Lingual Embeddings Speak English?
Antonios Anastasopoulos, Graham Neubig
Most of recent work in cross-lingual word embeddings is severely Anglocentric. The vast majority of lexicon induction evaluation dictionaries are between English and another langua…
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings
Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos +1
The recent success of neural machine translation models relies on the availability of high quality, in-domain data. Domain adaptation is required when domain-specific data is scarc…
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks
Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos
Learning general representations of text is a fundamental problem for many natural language understanding (NLU) tasks. Previously, researchers have proposed to use language model p…
Pushing the Limits of Low-Resource Morphological Inflection
Antonios Anastasopoulos, Graham Neubig
Recent years have seen exceptional strides in the task of automatic morphological inflection generation. However, for a long tail of languages the necessary resources are hard to c…
Findings of the First Shared Task on Machine Translation Robustness
Xian Li, Paul Michel, Antonios Anastasopoulos +7
We share the findings of the first shared task on improving robustness of Machine Translation (MT). The task provides a testbed representing challenges facing MT models deployed in…
Generalized Data Augmentation for Low-Resource Translation
Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos +1
Translation to or from low-resource languages LRLs poses challenges for machine translation in terms of both adequacy and fluency. Data augmentation utilizing large amounts of mono…
Choosing Transfer Languages for Cross-Lingual Learning
Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee +10
Cross-lingual transfer, where a high-resource transfer language is used to improve the accuracy of a low-resource task language, is now an invaluable tool for improving performance…
An Analysis of Source-Side Grammatical Errors in NMT
Antonios Anastasopoulos
The quality of Neural Machine Translation (NMT) has been shown to significantly degrade when confronted with source-side noise. We present the first large-scale study of state-of-t…
Neural Language Modeling with Visual Features
Antonios Anastasopoulos, Shankar Kumar, Hank Liao
Multimodal language models attempt to incorporate non-linguistic features for the language modeling task. In this work, we extend a standard recurrent neural network (RNN) language…