OntoSem and SIMPLE: two multi-lingual world views

Authors:
Marjorie McShane;Margalit Zabludowski;Sergei Nirenburg;Stephen Beale
Affiliations:
University of Maryland, Baltimore County, Baltimore, MD;University of Maryland, Baltimore County, Baltimore, MD;University of Maryland, Baltimore County, Baltimore, MD;University of Maryland, Baltimore County, Baltimore, MD
Venue:
TextMean '04 Proceedings of the 2nd Workshop on Text Meaning and Interpretation
Year:
2004

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Abstract

In this paper we compare programs of work that aim to develop broad coverage cross-linguistic resources for NLP: Ontological Semantics (OntoSem) and SIMPLE. The approaches taken in these projects differ in three notable respects: the use of an ontology versus a word net as the semantic substrate; the development of knowledge resources inside of as opposed to outside of a processing environment; and the development of lexicons for multiple languages based on a single core lexicon or without such a core (i.e., in parallel fashion). In large part, these differences derive from project-driven, real-world requirements and available resources -- a reflection of their being practical rather than theoretical projects. However, that being said, we will suggest certain preferences regarding the content and development of NLP resources with a view toward both short- and long-term, high-level language processing goals.