: This paper presents an automatic method and interface to enrich semantically WordNet with categories from general domain classification systems. The method is performed in two co...
This paper shows how a recently introduced class of applications can be solved by constraint programming. This new type of application is due to the emergence of special real-time...
We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, r...
Lexical-semantic resources are used extensively for applied semantic inference, yet a clear quantitative picture of their current utility and limitations is largely missing. We pr...
It is a tacit assumption of much linguisticinquiry that alldistinctderivations of a string should assign distinct meanings. But despite the tidinessof such derivational uniqueness...