LINGUIST List 19.1824
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Sat Jun 07 2008
Qs: Representing Numerical Expressions
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Directory
1. Sandra
Williams,
Representing Numerical Expressions
Message 1: Representing Numerical Expressions
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Date: 06-Jun-2008
From: Sandra Williams <s.h.williams open.ac.uk>
Subject: Representing Numerical Expressions
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Knowledge Representations for Numerical Data in Generation and Information Extraction I am currently working on generating numerical expressions in English, especially on producing variations in proportions (decimals, fractions, percentages, etc.). I am collecting a corpus of sets of newspaper and magazine articles that report on the same underlying numerical data (for instance, a dozen articles about the recent study on the decrease in the puffin population on the Isle of May in Scotland). I am investigating how different authors vary when expressing the same underlying numerical information, e.g. 'The puffin population off Scotland's East coast has dropped by nearly a third in less than five years'. If anyone knows of similar research on numerical expressions, I would be grateful to hear of it (I am aware of Veronique Moriceau's work on generating numerical answers in a question-answering system). My main question, however, concerns knowledge representations for basic numerical data, such as would be necessary for Information Extraction or Natural Language Generation. Does anyone know of research on representing proportions, e.g. as the cardinality of two sets of entities and their related time and space information, as in the above sentence? - presumably one set of puffins at time T1, located off the East coast of Scotland and another set, at time T2 (less than 5 years after T1) located in the same place and with the ratio of the cardinalities of the two sets approximately equal to 3 to 2. If you know of Information Extraction systems, NLG systems, ontologies, or linguistic studies that would be relevant to my research, please do let me know. Thank you for your help. I will post a summary of answers.
Linguistic Field(s):
Computational Linguistics
Psycholinguistics
Semantics
Text/Corpus Linguistics
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