Robust Semantics for Semantic Parsing

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The paper presents a robust semantics for NLP applications including QA, text entailment and SMT that combines a (fairly) standard treatment of logical operators such as negation and quantification (Steedman 2012) with a highly nonstandard paraphrase- and entailment--based semantics of relational terms derived from text data by machine reading (Lewis and Steedman 2013a; 2013b). I'll consider the extension of the latter component to temporal and causal entailment using text-based methods, building on Lewis and Steedman 2014.
Original languageEnglish
Title of host publicationProceedings of the 28th Pacific Asia Conference on Language, Information and Computation, PACLIC 28, Cape Panwa Hotel, Phuket, Thailand, December 12-14, 2014
Number of pages1
Publication statusPublished - 2014


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