Abstract / Description of output
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 language | English |
|---|---|
| Title of host publication | Proceedings of the 28th Pacific Asia Conference on Language, Information and Computation, PACLIC 28, Cape Panwa Hotel, Phuket, Thailand, December 12-14, 2014 |
| Pages | 1 |
| Number of pages | 1 |
| Publication status | Published - 2014 |