Delmonte, Rodolfo
VENSES, a linguistically-based system for semantic evaluation
DELMONTE, Rodolfo. “VENSES, a linguistically-based system for semantic evaluation”. Procesamiento del lenguaje natural. Nº 35 (sept. 2005), pp. 449-450
URI: http://hdl.handle.net/10045/1350
DOI: 
ISSN: 1135-5948
Abstract: 
The system for semantic evaluation VENSES (Venice Semantic Evaluation System) is
organized as a pipeline of two subsystems: the first is a reduced version of GETARUN, our system
for Text Understanding. The output of the system is a flat list of head-dependent structures (HDS)
with Grammatical Relations (GRs) and Semantic Roles (SRs) labels. The evaluation system is made
up of two main modules: the first is a sequence of linguistic rule-based subcalls; the second is a
quantitatively based measurement of input structures. VENSES measures semantic similarity which
may range from identical linguistic items, to synonymous or just morphologically derivable. Both
modules go through General Consistency checks which are targeted to high level semantic
attributes like presence of modality, negation, and opacity operators, temporal and spatial location
checks. Results in cws, accuracy and precision are homogeneous for both training and test corpus
and fare higher than 60%.
Keywords:Parsing, Dependency structures, Logical forms, Semantic evaluation
Sociedad Española para el Procesamiento del Lenguaje Natural
info:eu-repo/semantics/article