Papers with question encoder

2 papers
Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy (C18-1)

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Challenge: Existing QA systems that answer factual questions with short answers are rare in practice.
Approach: They propose a proposed two-layered taxonomy technique for semantic question matching . they augment state-of-the-art deep learning models with question classes from a deep learning based question classifier .
Outcome: The proposed technique achieves state-of-the-art on an open-domain dataset.
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension (D18-1)

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Challenge: Existing QA models rely on learning interaction between document and question . current models require explicit attention to the document before or as it reads it .
Approach: They propose a modular question answering task that enforces complete independence of the document encoder from the question encoder.
Outcome: The proposed model achieves reasonable accuracy but significantly underperforms unconstrained QA models.

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