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Mario Barrantes

1 paper here

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • cs.CL1

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most citedAdversarial NLI for Factual Correctness in Text Summarisation Models

8 citations · 8 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2020★ 8 cited

Adversarial NLI for Factual Correctness in Text Summarisation Models

Mario Barrantes, Benedikt Herudek, Richard Wang

We apply the Adversarial NLI dataset to train the NLI model and show that the model has the potential to enhance factual correctness in abstract summarization. We follow the work o…

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