Papers by Mor Shoham

1 papers
A Simple and Effective Model for Answering Multi-span Questions (2020.emnlp-main)

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Challenge: Existing models for reading comprehension restrict output space to a set of single contiguous spans . multi-span questions are problematic because they require multiple inputs - a task that requires a sequence tagging problem .
Approach: They propose a simple architecture for answering multi-span questions by casting the task as a sequence tagging problem.
Outcome: The proposed model significantly improves performance on span extraction questions from DROP and Quoref by 9.9 and 5.5 EM points respectively.

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