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arXiv · 1808.08626

Identifying Domain Adjacent Instances for Semantic Parsers

James Ferguson·Janara Christensen·Edward Li·Edgar Gonzàlez
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Abstract

When the semantics of a sentence are not representable in a semantic parser's output schema, parsing will inevitably fail. Detection of these instances is commonly treated as an out-of-domain classification problem. However, there is also a more subtle scenario in which the test data is drawn from the same domain. In addition to formalizing this problem of domain-adjacency, we present a comparison of various baselines that could be used to solve it. We also propose a new simple sentence representation that emphasizes words which are unexpected. This approach improves the performance of a downstream semantic parser run on in-domain and domain-adjacent instances.

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James Ferguson, Janara Christensen, Edward Li, Edgar Gonzàlez. 2018-08-26. Identifying Domain Adjacent Instances for Semantic Parsers. https://arxiv.org/abs/1808.08626

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