Effective Broad-Coverage Deep Parsing
James Allen, Omid Bahkshandeh, William de Beaumont, Lucian Galescu, Choh Man Teng · Proceedings of the AAAI Conference on Artificial Intelligence · 2018
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