Generating a Resource for Products and Brandnames Recognition. Application to the Cosmetic Domain.
Cédric Lopez, Frédérique Segond, Olivier Hondermarck, Paolo Curtoni, Luca Dini
Abstract
Named Entity Recognition task needs high-quality and large-scale resources. In this paper, we present RENCO, a based-rules system focused on the recognition of entities in the Cosmetic domain (brandnames, product names, â¦). RENCO has two main objectives: 1) Generating resources for named entity recognition; 2) Mining new named entities relying on the previous generated resources. In order to build lexical resources for the cosmetic domain, we propose a system based on local lexico-syntactic rules complemented by a learning module. As the outcome of the system, we generate both a simple lexicon and a structured lexicon. Results of the evaluation show that even if RENCO outperforms a classic Conditional Random Fields algorithm, both systems should combine their respective strengths.- Anthology ID:
- L14-1452
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 2559–2564
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/549_Paper.pdf
- DOI:
- Cite (ACL):
- Cédric Lopez, Frédérique Segond, Olivier Hondermarck, Paolo Curtoni, and Luca Dini. 2014. Generating a Resource for Products and Brandnames Recognition. Application to the Cosmetic Domain.. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2559–2564, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- Generating a Resource for Products and Brandnames Recognition. Application to the Cosmetic Domain. (Lopez et al., LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/549_Paper.pdf