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.
CITATION STYLE
Allen, J. F., Bahkshandeh, O., De Beaumont, W., Galescu, L., & Teng, C. M. (2018). Effective broad-coverage deep parsing. In 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 (pp. 4776–4783). AAAI press. https://doi.org/10.1609/aaai.v32i1.11934
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