We present the methodology that underlies new metrics for semantic machine translation evaluation that we are developing. Unlike widely-used lexical and n-gram based MT evaluation...
Extending a machine learning based coreference resolution system with a feature capturing automatically generated information about semantic roles improves its performance.
abstractions to focus on principle issues and impose structure - Model behaviour - Determine correctness - Recursive equational axiomatisations with precise semantics yet algorithm...
We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...