Semantic classification for practical natural language processing (original) (raw)

1995, Proceedings of the Sixth ASlS SIG/CR …

In the eld of natural language processing NLP there is now a consensus that all NLP systems that seek to represent and manipulate meanings of texts need an ontology, that is a taxonomic classi cation of concepts in the world to be used as semantic primitives. In our continued e orts to build a multilingual knowledge-based machine translation KBMT system using an interlingual meaning representation, we have developed an ontology to facilitate natural language interpretation and generation. The central goal of the Mikrokosmos project is to develop a computer system that produces a comprehensive T ext Meaning Representation TMR for an input text in any of a set of source languages. Knowledge that supports this process is stored both in language-speci c knowledge sources such as a lexicon and in an independently motivated, language-neutral ontology of concepts in the world.