Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Probing Neural Dialog Models for Conversational Understanding.

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[DOI]

CoRR, 2020

Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias.

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[DOI]

CoRR, 2020

Exploiting Redundancy in Pre-trained Language Models for Efficient Transfer Learning.

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[DOI]

CoRR, 2020

On the Linguistic Representational Power of Neural Machine Translation Models.

[BibT_eX]

[DOI]

Comput. Linguistics, 2020

Findings of the WMT 2020 Shared Task on Machine Translation Robustness.

[BibT_eX]

[DOI]

Proceedings of the Fifth Conference on Machine Translation, 2020

Investigating Gender Bias in Language Models Using Causal Mediation Analysis.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Constructive Prediction of the Generalization Error Across Scales.

[BibT_eX]

[DOI]

Jonathan S. Rosenfeld

Amir Rosenfeld

Yonatan Belinkov

Nir Shavit

Proceedings of the 8th International Conference on Learning Representations, 2020

Analyzing Individual Neurons in Pre-trained Language Models.

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[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Analyzing Redundancy in Pretrained Transformer Models.

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[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Similarity Analysis of Contextual Word Representation Models.

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[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

End-to-End Bias Mitigation by Modelling Biases in Corpora.

[BibT_eX]

[DOI]

Rabeeh Karimi Mahabadi

Yonatan Belinkov

James Henderson

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Interpretability and Analysis in Neural NLP.

[BibT_eX]

[DOI]

Yonatan Belinkov

Sebastian Gehrmann

Ellie Pavlick

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2020

The Sensitivity of Language Models and Humans to Winograd Schema Perturbations.

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[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Analysis Methods in Neural Language Processing: A Survey.

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[DOI]

Yonatan Belinkov

James R. Glass

Trans. Assoc. Comput. Linguistics, 2019

Studying the history of the Arabic language: language technology and a large-scale historical corpus.

[BibT_eX]

[DOI]

Yonatan Belinkov

Alexander Magidow

Alberto Barrón-Cedeño

Avi Shmidman

Maxim Romanov

Lang. Resour. Evaluation, 2019

Language processing and learning models for community question answering in Arabic.

[BibT_eX]

[DOI]

Salvatore Romeo

Giovanni Da San Martino

Yonatan Belinkov

Alberto Barrón-Cedeño

Inf. Process. Manag., 2019

Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages.

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[DOI]

CoRR, 2019

Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects.

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[DOI]

Gabriel Grand

Yonatan Belinkov

CoRR, 2019

LSTM Networks Can Perform Dynamic Counting.

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[DOI]

CoRR, 2019

Character-based Surprisal as a Model of Human Reading in the Presence of Errors.

[BibT_eX]

[DOI]

CoRR, 2019

Findings of the First Shared Task on Machine Translation Robustness.

[BibT_eX]

[DOI]

Xian Li

Paul Michel

Antonios Anastasopoulos

Proceedings of the Fourth Conference on Machine Translation, 2019

On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference.

[BibT_eX]

[DOI]

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

Linguistic Knowledge and Transferability of Contextual Representations.

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[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

One Size Does Not Fit All: Comparing NMT Representations of Different Granularities.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech Recognition.

[BibT_eX]

[DOI]

Yonatan Belinkov

Ahmed Ali

James R. Glass

Proceedings of the Interspeech 2019, 2019

Identifying and Controlling Important Neurons in Neural Machine Translation.

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[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Character-based Surprisal as a Model of Reading Difficulty in the Presence of Errors.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Analyzing the Structure of Attention in a Transformer Language Model.

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[DOI]

Jesse Vig

Yonatan Belinkov

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

Improving Neural Language Models by Segmenting, Attending, and Predicting the Future.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference.

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[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models.

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[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

On internal language representations in deep learning: an analysis of machine translation and speech recognition.

[BibT_eX]

[DOI]

Yonatan Belinkov

PhD thesis, 2018

On Evaluating the Generalization of LSTM Models in Formal Languages.

[BibT_eX]

[DOI]

Mirac Suzgun

Yonatan Belinkov

Stuart M. Shieber

CoRR, 2018

On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Synthetic and Natural Noise Both Break Neural Machine Translation.

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[DOI]

Yonatan Belinkov

Yonatan Bisk

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Analysis of sentence embedding models using prediction tasks in natural language processing.

[BibT_eX]

[DOI]

IBM J. Res. Dev., 2017

Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems.

[BibT_eX]

[DOI]

Yonatan Belinkov

James R. Glass

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Neural Machine Translation Training in a Multi-Domain Scenario.

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[DOI]

Proceedings of the 14th International Conference on Spoken Language Translation, 2017

QMDIS: QCRI-MIT Advanced Dialect Identification System.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2017, 2017

Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

What do Neural Machine Translation Models Learn about Morphology?

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[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Large-Scale Machine Translation between Arabic and Hebrew: Available Corpora and Initial Results.

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[DOI]

Yonatan Belinkov

James R. Glass

CoRR, 2016

A Character-level Convolutional Neural Network for Distinguishing Similar Languages and Dialects.

[BibT_eX]

[DOI]

Yonatan Belinkov

James R. Glass

Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects, 2016

Improving Sequence to Sequence Learning for Morphological Inflection Generation: The BIU-MIT Systems for the SIGMORPHON 2016 Shared Task for Morphological Reinflection.

[BibT_eX]

[DOI]

Roee Aharoni

Yoav Goldberg

Yonatan Belinkov

Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, 2016

SLS at SemEval-2016 Task 3: Neural-based Approaches for Ranking in Community Question Answering.

[BibT_eX]

[DOI]

Mitra Mohtarami

Yonatan Belinkov

Wei-Ning Hsu