843 citations · 1.4k across the 13 of their papers we have counts for
4 papers · 1 filter
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation
Ran Tian, Shashi Narayan, Thibault Sellam +1
We address the issue of hallucination in data-to-text generation, i.e., reducing the generation of text that is unsupported by the source. We conjecture that hallucination can be c…
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks
Shashi Narayan, Shay B. Cohen, Mirella Lapata
We introduce 'extreme summarization', a new single-document summarization task which aims at creating a short, one-sentence news summary answering the question ``What is the articl…
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
Sascha Rothe, Shashi Narayan, Aliaksei Severyn
Unsupervised pre-training of large neural models has recently revolutionized Natural Language Processing. By warm-starting from the publicly released checkpoints, NLP practitioners…
Jointly Extracting and Compressing Documents with Summary State Representations
Afonso Mendes, Shashi Narayan, Sebastião Miranda +3
We present a new neural model for text summarization that first extracts sentences from a document and then compresses them. The proposed model offers a balance that sidesteps the…