75 citations · 133 across the 4 of their papers we have counts for
4 papers
WebRED: Effective Pretraining And Finetuning For Relation Extraction On The Web
Robert Ormandi, Mohammad Saleh, Erin Winter +1
Relation extraction is used to populate knowledge bases that are important to many applications. Prior datasets used to train relation extraction models either suffer from noisy la…
SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization
Yao Zhao, Mohammad Saleh, Peter J. Liu
Most prior work in the sequence-to-sequence paradigm focused on datasets with input sequence lengths in the hundreds of tokens due to the computational constraints of common RNN an…
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh +1
Recent work pre-training Transformers with self-supervised objectives on large text corpora has shown great success when fine-tuned on downstream NLP tasks including text summariza…
Generating Wikipedia by Summarizing Long Sequences
Peter J. Liu, Mohammad Saleh, Etienne Pot +4
We show that generating English Wikipedia articles can be approached as a multi- document summarization of source documents. We use extractive summarization to coarsely identify sa…