This paper introduces OMeta, a new object-oriented language for pattern matching. OMeta is based on a variant of Parsing Expression Grammars (PEGs) [5]--a recognitionbased foundat...
This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential mean...
This paper presents a general platform, namely synchronous tree sequence substitution grammar (STSSG), for the grammar comparison study in Translational Equivalence Modeling (TEM)...
Min Zhang, Hongfei Jiang, Haizhou Li, AiTi Aw, She...
Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appea...
This paper proposes a speech comprehension computational model based on neurocognitiveresearches. The computational representation uses techniques as wavelets transform and connec...