NLPExplorer

BlackboxNLP - 2020

Total Papers:- 33

Total Papers accross all years:- 107

Total Citations :- 0

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Emergent Language Generalization and Acquisition Speed are not tied to Compositionality

Eugene Kharitonov | Marco Baroni |

BERTnesia: Investigating the capture and forgetting of knowledge in BERT

Jaspreet Singh | Jonas Wallat | Avishek Anand |

Examining the rhetorical capacities of neural language models

Zining Zhu | Chuer Pan | Mohamed Abdalla | Frank Rudzicz |

Controlling the Imprint of Passivization and Negation in Contextualized Representations

Hande Celikkanat | Sami Virpioja | Jörg Tiedemann | Marianna Apidianaki |

Probing for Multilingual Numerical Understanding in Transformer-Based Language Models

Devin Johnson | Denise Mak | Andrew Barker | Lexi Loessberg-Zahl |

The Explanation Game: Towards Prediction Explainability through Sparse Communication

Marcos Treviso | André F. T. Martins |

How does BERT capture semantics? A closer look at polysemous words

David Yenicelik | Florian Schmidt | Yannic Kilcher |

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

Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization

Tristan Thrush | Ethan Wilcox | Roger Levy |

Discovering the Compositional Structure of Vector Representations with Role Learning Networks

Paul Soulos | R. Thomas McCoy | Tal Linzen | Paul Smolensky |

Evaluating Attribution Methods using White-Box LSTMs

Yiding Hao |

What Happens To BERT Embeddings During Fine-tuning?

Amil Merchant | Elahe Rahimtoroghi | Ellie Pavlick | Ian Tenney |

On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers

Marius Mosbach | Anna Khokhlova | Michael A. Hedderich | Dietrich Klakow |

Exploring Neural Entity Representations for Semantic Information

Andrew Runge | Eduard Hovy |