Work

Identification of Naturally Occurring Numerical Expressions in Arabic

Year: 2008

Type: conference-paper

Abstract: In this paper, we define the task of Number Identification in natural context.We present and validate a language-independent semiautomatic approach to quickly building a gold standard for evaluating number identification systems by exploiting hand-aligned parallel data.We also present and extensively evaluate a robust rule-based system for number identification in natural context for Arabic for a variety of number formats and types.The system is shown to have strong performance, achieving, on a blind test, a 94.8% F-score for the task of correctly identifying number expression spans in natural text, and a 92.1% F-score for the task of correctly determining the core numerical value.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/3nhyrb4uvaiz

Authors: Nizar Habash, Ryan Roth

Institution: Columbia University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Defense Advanced Research Projects Agency

Awards: G2515541506, G3190074090