52 citations · 158 across the 19 of their papers we have counts for
3 papers · 1 filter
Stepwise Extractive Summarization and Planning with Structured Transformers
Shashi Narayan, Joshua Maynez, Jakub Adamek +3
We propose encoder-centric stepwise models for extractive summarization using structured transformers -- HiBERT and Extended Transformers. We enable stepwise summarization by injec…
On Faithfulness and Factuality in Abstractive Summarization
Joshua Maynez, Shashi Narayan, Bernd Bohnet +1
It is well known that the standard likelihood training and approximate decoding objectives in neural text generation models lead to less human-like responses for open-ended tasks s…
QURIOUS: Question Generation Pretraining for Text Generation
Shashi Narayan, Gonçalo Simoes, Ji Ma +2
Recent trends in natural language processing using pretraining have shifted focus towards pretraining and fine-tuning approaches for text generation. Often the focus has been on ta…