Mohammad Saleh
3 papers in the PaperMetrix corpus
Papers by this author
-
Assessing The Factual Accuracy of Generated Text
2019
We propose a model-based metric to estimate the factual accuracy of generated text that is complementary to typical scoring schemes like ROUGE (Recall-Oriented Understudy for Gisting Evaluation) and BLEU (Bilingual Evaluation Understudy). We introduce and …
-
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
2019 · arXiv (Cornell University)
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 summarization. However, pre-training objectives tailored for abstractive text summarization have not been …
-
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
2020 · International Conference on Machine Learning
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 summarization. However, pre-training objectives tailored for abstractive text summarization have not been …