Effective Broad-Coverage Deep Parsing

Current semantic parsers either compute shallow representations over a wide range of input, or deeper representations in very limited domains. We describe a system that provides broad-coverage, deep semantic parsing designed to work in any domain using a core domain-general lexicon, ontology and grammar. This paper discusses how this core system can be customized for a particularly challenging domain, namely reading research papers in biology. We evaluate these customizations with some ablation experiments

• Publication year

  2018

• Venue

  AAAI Conference on Artificial Intelligence

• Publication date

  2018-04-26

• Fields of study

  Biology, Computer Science

• Identifiers
  DOI 10.1609/aaai.v32i1.11934
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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