NLPExplorer

TACL - 2020

Total Papers:- 54

Total Papers accross all years:- 696

Total Citations :- 0

1 2 3 4 »

PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models

Eyal Ben-David | Carmel Rabinovitz | Roi Reichart |

Improving Candidate Generation for Low-resource Cross-lingual Entity Linking

A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings

Lixing Zhu | Yulan He | Deyu Zhou |

Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems

Xuan Zhang | Kevin Duh |

A Primer in BERTology: What We Know About How BERT Works

Anna Rogers | Olga Kovaleva | Anna Rumshisky |

Topic Modeling in Embedding Spaces

Adji B. Dieng | Francisco J. R. Ruiz | David M. Blei |

Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs

Leonardo F. R. Ribeiro | Yue Zhang | Claire Gardent | Iryna Gurevych |

What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models

Allyson Ettinger |

SpanBERT: Improving Pre-training by Representing and Predicting Spans

Learning Lexical Subspaces in a Distributional Vector Space

Kushal Arora | Aishik Chakraborty | Jackie C. K. Cheung |

Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks

R. Thomas McCoy | Robert Frank | Tal Linzen |

A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation

Better Document-Level Machine Translation with Bayes’ Rule

Unsupervised Bitext Mining and Translation via Self-Trained Contextual Embeddings

Phillip Keung | Julian Salazar | Yichao Lu | Noah A. Smith |

Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension