NLPExplorer

BlackboxNLP - 2021

Total Papers:- 44

Total Papers accross all years:- 107

Total Citations :- 0

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Word Equations: Inherently Interpretable Sparse Word Embeddings through Sparse Coding

Adly Templeton |

Interacting Knowledge Sources, Inspection and Analysis: Case-studies on Biomedical text processing

Parsa Bagherzadeh | Sabine Bergler |

On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning

Marc Tanti | Lonneke van der Plas | Claudia Borg | Albert Gatt |

Controlled tasks for model analysis: Retrieving discrete information from sequences

Ionut-Teodor Sorodoc | Gemma Boleda | Marco Baroni |

evision PDF of 'Training Dynamic based data filtering may not work for NLP datasets

Arka Talukdar | Monika Dagar | Prachi Gupta | Varun Menon |

ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns’ Semantic Properties and their Prototypicality

Marianna Apidianaki | Aina Garí Soler |

Investigating Negation in Pre-trained Vision-and-language Models

Radina Dobreva | Frank Keller |

ProSPer: Probing Human and Neural Network Language Model Understanding of Spatial Perspective

Tessa Masis | Carolyn Anderson |

Enhancing Interpretable Clauses Semantically using Pretrained Word Representation

Rohan Kumar Yadav | Lei Jiao | Ole-Christoffer Granmo | Morten Goodwin |

What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations

How Length Prediction Influence the Performance of Non-Autoregressive Translation?

Attacks against Ranking Algorithms with Text Embeddings: A Case Study on Recruitment Algorithms

Anahita Samadi | Debapriya Banerjee | Shirin Nilizadeh |

Screening Gender Transfer in Neural Machine Translation

Guillaume Wisniewski | Lichao Zhu | Nicolas Bailler | François Yvon |

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