We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics
Simon Dobnik, Robin Cooper, Adam Ek, Bill Noble, Staffan Larsson,, Nikolai Ilinykh, Vladislav Maraev, Vidya Somashekarappa
TL;DR
This paper reviews various meaning representations in computational semantics, analyzing their limitations in modeling natural language meaning and their suitability for different applications.
Contribution
It provides a comprehensive examination of existing meaning representations, highlighting their strengths and weaknesses in natural language processing tasks.
Findings
Identifies key limitations of current meaning representations
Discusses the impact of representation choices on application performance
Suggests directions for developing more comprehensive semantic models
Abstract
In this paper we examine different meaning representations that are commonly used in different natural language applications today and discuss their limits, both in terms of the aspects of the natural language meaning they are modelling and in terms of the aspects of the application for which they are used.
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Speech and dialogue systems