Papers with mention paraphrasing

1 papers
BERT for Coreference Resolution: Baselines and Analysis (D19-1)

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Challenge: Recent BERT-based models have reported dramatic gains on multiple semantic benchmarks including question-answering, natural language inference, and named entity recognition.
Approach: They apply BERT to coreference resolution, achieving a new state of the art on the GAP and OntoNotes benchmarks.
Outcome: A qualitative analysis of model predictions shows that BERT-large is better at distinguishing between related but distinct entities, but there is room for improvement in modeling document-level context, conversations, and mention paraphrasing.

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