Fuzzy semantic model (FSM) is a data model that uses basic concepts of semantic modeling and supports handling fuzziness, uncertainty and imprecision of real-world at the attribut...
Rafik Bouaziz, Salem Chakhar, Vincent Mousseau, Su...
Cyclic definitions are often prohibited in terminological knowledge representation languages because, from a theoretical point of view, their semantics is not clear and, from a pr...
Incremental natural language understanding is the task of assigning semantic representations to successively larger prefixes of utterances. We compare two types of statistical mod...
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...
Today’s Application Specific Instruction-set Processor (ASIP) design methodology often employs centralized Architecture Description Language (ADL) processor models, from which s...
Jianjiang Ceng, Weihua Sheng, Manuel Hohenauer, Ra...