| Background | Edges are grouped into equivalence classes when they have the same syntactic category and cover the same parts of the input logical form . |
| Background | Additionally, to realize a wide range of paraphrases, OpenCCG implements an algorithm for efficiently generating from disjunctive logical forms (White, 2006a). |
| Background | the one that covers the most elementary predications in the input logical form , with ties broken according to the n-gram score. |
| Introduction | We have adapted this multitagging approach to lexical category assignment for realization using the CCG-based natural language toolkit OpenCCG.1 Instead of basing category assignment on linear word and POS context, however, we predict lexical categories based on contexts within a directed graph structure representing the logical form (LP) of a proposition to be realized. |
| Related Work | (1999), in which each of the textual glosses in WordNet (Fellbaum, 1998) is linguistically analyzed to yield a sense-tagged logical form , is an example of the former approach. |
| Tagging and Mapping of Similes | and reputable|§ 4%, are associated with the same logical form in HowNet, which defines them as a specialization of ReputationValue|QZ $13. |
| Tagging and Mapping of Similes | This allows us to safely identify “%%” with this logical form . |