NLPExplorer

Yonatan Belinkov

Number of Papers:- 48

Number of Citations:- 118

First ACL Paper:- 2013

Latest ACL Paper:- 2022

Venues:-

WANLP

BlackboxNLP

SCiL

TACL

VarDial

LT4DH

IJCNLP

GeBNLP

*SEM

COLING

SIGMORPHON

ACL

EMNLP

NLP4ConvAI

NAACL

IWSLT

EACL

NEJLT

WMT

*SEMEVAL

Co-Authors:-

Aaron Mueller

Abdelrhman Saleh

Abhilasha Ravichander

Adam Poliak

Afra Alishahi

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Probing Classifiers: Promises, Shortcomings, and Advances CL

Yonatan Belinkov |

Choose Your Lenses: Flaws in Gender Bias Evaluation GeBNLP NAACL

Hadas Orgad | Yonatan Belinkov |

A Generative Approach for Mitigating Structural Biases in Natural Language Inference *SEM NAACL

Dimion Asael | Zachary Ziegler | Yonatan Belinkov |

How Gender Debiasing Affects Internal Model Representations, and Why It Matters NAACL

Hadas Orgad | Seraphina Goldfarb-Tarrant | Yonatan Belinkov |

A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference EMNLP

Kerem Zaman | Yonatan Belinkov |

Part-of-Speech and Morphological Tagging of Algerian Judeo-Arabic NEJLT

Ofra Tirosh-Becker | Michal Kessler | Oren Becker | Yonatan Belinkov |

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

Abhilasha Ravichander | Yonatan Belinkov | Eduard Hovy |

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP BlackboxNLP EMNLP

Debiasing Methods in Natural Language Understanding Make Bias More Accessible EMNLP

Michael Mendelson | Yonatan Belinkov |

Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models ACL IJCNLP

Probing Neural Dialog Models for Conversational Understanding ACL NLP4ConvAI WS

Similarity Analysis of Contextual Word Representation Models ACL

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

Rabeeh Karimi Mahabadi | Yonatan Belinkov | James Henderson |

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

Interpretability and Analysis in Neural NLP ACL

Yonatan Belinkov | Sebastian Gehrmann | Ellie Pavlick |

On the Linguistic Representational Power of Neural Machine Translation Models CL

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

Analyzing Individual Neurons in Pre-trained Language Models EMNLP

Nadir Durrani | Hassan Sajjad | Fahim Dalvi | Yonatan Belinkov |

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP BlackboxNLP EMNLP

Analyzing Redundancy in Pretrained Transformer Models EMNLP

Fahim Dalvi | Hassan Sajjad | Nadir Durrani | Yonatan Belinkov |

Linguistic Knowledge and Transferability of Contextual Representations NAACL

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

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

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

Hongyin Luo | Lan Jiang | Yonatan Belinkov | James Glass |

Analysis Methods in Neural Language Processing: A Survey TACL

Yonatan Belinkov | James Glass |

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

On Evaluating the Generalization of LSTM Models in Formal Languages SCiL WS

Mirac Suzgun | Yonatan Belinkov | Stuart M. Shieber |

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

Gabriel Grand | Yonatan Belinkov |

LSTM Networks Can Perform Dynamic Counting ACL WS

Mirac Suzgun | Yonatan Belinkov | Stuart Shieber | Sebastian Gehrmann |

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

Tal Linzen | Grzegorz Chrupała | Yonatan Belinkov | Dieuwke Hupkes |

Analyzing the Structure of Attention in a Transformer Language Model ACL WS

Jesse Vig | Yonatan Belinkov |

Findings of the First Shared Task on Machine Translation Robustness ACL WMT WS

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

Adam Poliak | Yonatan Belinkov | James Glass | Benjamin Van Durme |

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

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

What do Neural Machine Translation Models Learn about Morphology? ACL

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

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

Roee Aharoni | Yoav Goldberg | Yonatan Belinkov |