NLPExplorer

INLG - 2020

Total Papers:- 91

Total Papers accross all years:- 848

Total Citations :- 0

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Explaining Bayesian Networks in Natural Language: State of the Art and Challenges

Conor Hennessy | Alberto Bugarín | Ehud Reiter |

Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference

Ondřej Dušek | Zdeněk Kasner |

Semantic Triples Verbalization with Generative Pre-Training Model

Pavel Blinov |

Memory Attentive Fusion: External Language Model Integration for Transformer-based Sequence-to-Sequence Model

NUBIA: NeUral Based Interchangeability Assessor for Text Generation

Generating Explanations of Action Failures in a Cognitive Robotic Architecture

Ravenna Thielstrom | Antonio Roque | Meia Chita-Tegmark | Matthias Scheutz |

OMEGA : A probabilistic approach to referring expression generation in a virtual environment

Maurice Langner |

Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers

Understanding and Explicitly Measuring Linguistic and Stylistic Properties of Deception via Generation and Translation

Emily Saldanha | Aparna Garimella | Svitlana Volkova |

A proof of concept on triangular test evaluation for Natural Language Generation

Javier González Corbelle | José María Alonso Moral | Alberto Bugarín Diz |

Gradations of Error Severity in Automatic Image Descriptions

Tansformer based Natural Language Generation for Question-Answering

Imen Akermi | Johannes Heinecke | Frédéric Herledan |

evision PDF of 'From “Before” to “After”: Generating Natural Language Instructions from Image Pairs in a Simple Visual Domain

WebNLG 2020 Challenge: Semantic Template Mining for Generating References from RDF

Trung Tran | Dang Tuan Nguyen |

A General Benchmarking Framework for Text Generation