Exploring Model Building for Natural Language Understanding
نویسنده
چکیده
In this paper the use of model building for natural language understanding in practical systems is investigated. After outlining several interpretation tasks where model construction would be useful, we perform experiments using two state-of-the-art model builders on the interpretation of imperatives in discourse. The results are acceptable for small discourses and small domains, but don’t scale up for larger domains or longer discouses: the complexity of model generation rises sharply in relation to the difficulty of a task and the size of the dialogue. Several suggestions are provided for future research to improve the performance of model building for larger domains and richer texts.
منابع مشابه
Model Building for Natural Language Understanding
This paper introduces a discipline in the field of automated reasoning that has received too little attention so far within computational semantics: model generation or model building for first-order logic. Model builders offer a positive handle on the satisfiability problem (theorem provers are, in general, unable to detect the satisfiability of a problem) and are therefore often used in tande...
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