Summary of the paper
| Title | Identification of Naturally Occurring Numerical Expressions in Arabic |
|---|---|
| Authors | Nizar Habash and Ryan Roth |
| Abstract | In this paper, we define the task of Number Identification in natural context. We present and validate a language-independent semi-automatic 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. |
| Language | |
| Topics | MultiWord Expressions & Collocations, Corpus (creation, annotation, etc.), Tools, systems, applications |
Full paper |
Identification of Naturally Occurring Numerical Expressions in Arabic |
Slides |
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| Bibtex | @InProceedings{HABASH08.843, author = {Nizar Habash and Ryan Roth}, title = {Identification of Naturally Occurring Numerical Expressions in Arabic}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |