Papers by Mantong Zhou

2 papers
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction (2020.acl-main)

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Challenge: Existing models for machine reading comprehension lack evidence labels for training models.
Approach: They propose a method which supervises the evidence extractor with auto-generated evidence labels in an iterative process.
Outcome: The proposed method improves on three MRC tasks on seven datasets.
An Interpretable Reasoning Network for Multi-Relation Question Answering (C18-1)

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Challenge: Existing models for multi-relation question answering require elaborated analysis and reasoning over multiple fact triples in knowledge base.
Approach: They propose a model that employs an interpretable hop-by-hop reasoning process for question answering . it decides which part of an input question should be analyzed at each hop and then drives next-hop thinking .
Outcome: The proposed model yields state-of-the-art results on two datasets.

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