NLPExplorer

Findings - 2021

Total Papers:- 883

Total Papers accross all years:- 1873

Total Citations :- 0

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Comprehensive Punctuation Restoration for English and Polish

Michał Pogoda | Tomasz Walkowiak |

Latent Reasoning for Low-Resource Question Generation

Xinting Huang | Jianzhong Qi | Yu Sun | Rui Zhang |

Spatial Dependency Parsing for Semi-Structured Document Information Extraction

Speculative Sampling in Variational Autoencoders for Dialogue Response Generation

Shoetsu Sato | Naoki Yoshinaga | Masashi Toyoda | Masaru Kitsuregawa |

Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering

Minghan Li | Ming Li | Kun Xiong | Jimmy Lin |

Probing Pre-trained Language Models for Semantic Attributes and their Values

Meriem Beloucif | Chris Biemann |

Substructure Substitution: Structured Data Augmentation for NLP

Haoyue Shi | Karen Livescu | Kevin Gimpel |

REBEL: Relation Extraction By End-to-end Language generation

Pere-Lluís Huguet Cabot | Roberto Navigli |

A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification

Sweta Agrawal | Weijia Xu | Marine Carpuat |

A Joint Model for Structure-based News Genre Classification with Application to Text Summarization

Zeyu Dai | Ruihong Huang |

SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics

Hitomi Yanaka | Koji Mineshima | Kentaro Inui |

‘Just What do You Think You’re Doing, Dave?’ A Checklist for Responsible Data Use in NLP

Anna Rogers | Timothy Baldwin | Kobi Leins |

Do Grammatical Error Correction Models Realize Grammatical Generalization?

Masato Mita | Hitomi Yanaka |

Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment

Ashwinkumar Ganesan | Francis Ferraro | Tim Oates |

From What to Why: Improving Relation Extraction with Rationale Graph