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A Supervised Learning Approach to Acronym Identification

Nadeau, David and Turney, Peter (2005) A Supervised Learning Approach to Acronym Identification. [Conference Paper]

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Abstract

This paper addresses the task of finding acronym-definition pairs in text. Most of the previous work on the topic is about systems that involve manually generated rules or regular expressions. In this paper, we present a supervised learning approach to the acronym identification task. Our approach reduces the search space of the supervised learning system by putting some weak constraints on the kinds of acronym-definition pairs that can be identified. We obtain results comparable to hand-crafted systems that use stronger constraints. We describe our method for reducing the search space, the features used by our supervised learning system, and our experiments with various learning schemes.

Item Type:Conference Paper
Keywords:acronym identification, supervised learning
Subjects:Computer Science > Language
ID Code:4399
Deposited By: Nadeau, David
Deposited On:19 Jun 2005
Last Modified:11 Mar 2011 08:56

References in Article

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