Yonatan Belinkov

发表

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

Yonatan Belinkov, Alberto Barrón-Cedeño, Alexander Magidow, 2018, Language Resources and Evaluation.

Yonatan Belinkov, Yu-An Chung, James Glass, 2020, ArXiv.

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

Yonatan Belinkov, James R. Glass, Yonatan Belinkov, 2016, ArXiv.

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

Yonatan Belinkov, James Glass, James R. Glass, 2019, INTERSPEECH.

Investigating Gender Bias in Language Models Using Causal Mediation Analysis

Yonatan Belinkov, Stuart M. Shieber, Yaron Singer, 2020, NeurIPS.

On Evaluating the Generalization of LSTM Models in Formal Languages pdf

Yonatan Belinkov, Stuart M. Shieber, Mirac Suzgun, 2018, ArXiv.

Arabic Diacritization with Recurrent Neural Networks

Yonatan Belinkov, James R. Glass, Yonatan Belinkov, 2015, EMNLP.

Shamela: A Large-Scale Historical Arabic Corpus

Yonatan Belinkov, Alexander Magidow, Avi Shmidman, 2016, LT4DH@COLING.

Analyzing Redundancy in Pretrained Transformer Models

Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, 2020, EMNLP.

Findings of the WMT 2020 Shared Task on Machine Translation Robustness

Yonatan Belinkov, Nadir Durrani, Hassan Sajjad, 2020, WMT.

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

Yonatan Belinkov, James R. Glass, Lan Jiang, 2019, ACL.

Neural Attention for Learning to Rank Questions in Community Question Answering

Yonatan Belinkov, Alberto Barrón-Cedeño, James R. Glass, 2016, COLING.

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

Yonatan Belinkov, James Henderson, Rabeeh Karimi Mahabadi, 2020, ACL.

Linguistic Knowledge and Transferability of Contextual Representations

Yonatan Belinkov, Noah A. Smith, Nelson F. Liu, 2019, NAACL.

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

Yonatan Belinkov, Alexander Rush, Alexander M. Rush, 2019, *SEMEVAL.

Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder

Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, 2017, IJCNLP.

Identifying and Controlling Important Neurons in Neural Machine Translation pdf

Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, 2018, ICLR.

Analysis Methods in Neural Language Processing: A Survey

Yonatan Belinkov, James R. Glass, Y. Belinkov, 2018, TACL.

QMDIS: QCRI-MIT Advanced Dialect Identification System

Yonatan Belinkov, James R. Glass, Maryam Najafian, 2017, INTERSPEECH.

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

Yonatan Belinkov, Frank Keller, Yonatan Bisk, 2019, ArXiv.

LSTM Networks Can Perform Dynamic Counting pdf

Yonatan Belinkov, Sebastian Gehrmann, Stuart M. Shieber, 2019, Proceedings of the Workshop on Deep Learning and Formal Languages: Building Bridges.

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

Yonatan Belinkov, Yoav Goldberg, Yossi Adi, 2017, IBM J. Res. Dev..

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

Yonatan Belinkov, Frank Keller, Yonatan Bisk, 2019, CogSci.

Neural Machine Translation Training in a Multi-Domain Scenario pdf

Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, 2017, IWSLT.

NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks

Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, 2018, AAAI.

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

Yonatan Belinkov, Yu Zhang, James R. Glass, 2016, *SEMEVAL.

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

Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, 2017, IJCNLP.

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

Yonatan Belinkov, Yaron Singer, Jesse Vig, 2020, ArXiv.

Analyzing the Structure of Attention in a Transformer Language Model pdf

Yonatan Belinkov, Jesse Vig, Jesse Vig, 2019, BlackboxNLP@ACL.

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

Preslav Nakov, Yonatan Belinkov, Nadir Durrani, 2019, NAACL.

Language processing and learning models for community question answering in Arabic

Yonatan Belinkov, Alberto Barrón-Cedeño, James R. Glass, 2017, Inf. Process. Manag..

Probing Neural Dialog Models for Conversational Understanding pdf

Yonatan Belinkov, Abdelrhman Saleh, Stuart Shieber, 2020, NLP4CONVAI.

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

Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, 2017, ACL.

VectorSLU: A Continuous Word Vector Approach to Answer Selection in Community Question Answering Systems

Yonatan Belinkov, James R. Glass, D. Scott Cyphers, 2015, *SEMEVAL.

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

Yonatan Belinkov, James R. Glass, Yonatan Belinkov, 2017, NIPS.

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

Yonatan Belinkov, Gabriel Grand, Gabriel Grand, 2019, Proceedings of the Second Workshop on Shortcomings in Vision and Language.

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

Yonatan Belinkov, Yonatan Belinkov, 2018 .

The Sensitivity of Language Models and Humans to Winograd Schema Perturbations

Yonatan Belinkov, Desmond Elliott, Anders Sogaard, 2020, ACL.

Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? pdf

Yonatan Belinkov, Eduard Hovy, Abhilasha Ravichander, 2020, ArXiv.

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

Yonatan Belinkov, James R. Glass, Benjamin Van Durme, 2018, NAACL.

Interpretability and Analysis in Neural NLP

Yonatan Belinkov, Ellie Pavlick, Sebastian Gehrmann, 2020, ACL.

arTenTen: Arabic Corpus and Word Sketches

Yonatan Belinkov, Nizar Habash, Adam Kilgarriff, 2014, J. King Saud Univ. Comput. Inf. Sci..

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

Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, 2018, AAAI.

What do Neural Machine Translation Models Learn about Morphology?

Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, 2017, ACL.

What Is in a Translation Unit? Comparing Character and Subword Representations Beyond Translation

Preslav Nakov, Yonatan Belinkov, Nadir Durrani, 2018 .

Findings of the First Shared Task on Machine Translation Robustness

Yonatan Belinkov, Nadir Durrani, Graham Neubig, 2019, WMT.

Analyzing Individual Neurons in Pre-trained Language Models pdf

Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, 2020, EMNLP.

Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference pdf

Yonatan Belinkov, Alexander M. Rush, Benjamin Van Durme, 2019, ACL.

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

Yonatan Belinkov, James R. Glass, Yonatan Belinkov, 2016, VarDial@COLING.

Mitigating Bias in Natural Language Inference Using Adversarial Learning

Yonatan Belinkov, Benjamin Van Durme, Stuart M. Shieber, 2018 .

Answer Selection in Arabic Community Question Answering: A Feature-Rich Approach

Yonatan Belinkov, Alberto Barrón-Cedeño, Hamdy Mubarak, 2015, ANLP@ACL.

Learning from others' mistakes: Avoiding dataset biases without modeling them pdf

Yonatan Belinkov, Alexander M. Rush, Victor Sanh, 2020, ICLR.

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

Yonatan Belinkov, Yoav Goldberg, Yossi Adi, 2016, ICLR.

Neural Network Architectures for Prepositional Phrase Attachment Disambiguation

Yonatan Belinkov, 2014 .

Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, 2020, ACL.

Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment

Yonatan Belinkov, Regina Barzilay, Amir Globerson, 2014, Transactions of the Association for Computational Linguistics.

Proceedings of the 2018 EMNLP Workshop BlackboxNLP : Analyzing and Interpreting Neural Networks for NLP

Yonatan Belinkov, Grzegorz Chrupala, Tal Linzen, 2018 .

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

Yonatan Belinkov, Yoav Goldberg, Roee Aharoni, 2016, SIGMORPHON.

Synthetic and Natural Noise Both Break Neural Machine Translation pdf

Yonatan Belinkov, Yonatan Bisk, Yonatan Bisk, 2017, ICLR.

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

Yonatan Belinkov, Sebastian Gehrmann, Stuart M. Shieber, 2019, ArXiv.

Translating Dialectal Arabic to English

Yonatan Belinkov, Hassan Sajjad, Kareem Darwish, 2013, ACL.

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

Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, 2020, ArXiv.

Debiasing Methods in Natural Language Understanding Make Bias More Accessible pdf

Yonatan Belinkov, Michael Mendelson, M. Mendelson, 2021, EMNLP.

Natural Language Inference with a Human Touch: Using Human Explanations to Guide Model Attention pdf

Yonatan Belinkov, Marek Rei, Joe Stacey, 2021, ArXiv.

Probing Classifiers: Promises, Shortcomings, and Advances

Yonatan Belinkov, Yonatan Belinkov, 2021, CL.

Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?

Yonatan Belinkov, Eduard Hovy, Abhilasha Ravichander, 2020, EACL.

Variational Information Bottleneck for Effective Low-Resource Fine-Tuning pdf

Yonatan Belinkov, James Henderson, Rabeeh Karimi Mahabadi, 2021, ICLR.

A Generative Approach for Mitigating Structural Biases in Natural Language Inference pdf

Yonatan Belinkov, Zachary M. Ziegler, Dimion Asael, 2021, STARSEM.

Probing Classifiers: Promises, Shortcomings, and Alternatives pdf

Yonatan Belinkov, Yonatan Belinkov, 2021, ArXiv.

Supervising Model Attention with Human Explanations for Robust Natural Language Inference

Yonatan Belinkov, Marek Rei, Joe Stacey, 2021 .

Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models

Yonatan Belinkov, Sebastian Gehrmann, Tal Linzen, 2021, ACL.

On the Pitfalls of Analyzing Individual Neurons in Language Models pdf

Yonatan Belinkov, Omer Antverg, 2021, ArXiv.

arTenTen: a new, vast corpus for Arabic

Yonatan Belinkov, Nizar Habash, Adam Kilgarriff, 2013 .