ABSTRACT
The goal of this paper is to improve the Named Entity Recognition for automatic information extraction related to record based data in text documents.
- Chun Young Moon, Paik Helen, Shepherd John, Improved named entity recognition for information extraction in record-based data. Master's Thesis, 2013Google Scholar
- H. Cunningham. Developing Language Processing Components with GATE Version 6. The University of Sheffield, Department of Computer Science, 2010.Google Scholar
- J. R. Finkel, T. Grenager, and C. Manning. Incorporating non-local information into information extraction systems by gibbs sampling. In ACL, 2005. Google ScholarDigital Library
- X. Li and B. Croft. Novelty detection based on sentence level patterns. In CIKM, pages 744--751. ACM, 2005. Google ScholarDigital Library
- L. Ratinov and D. Roth. Design challenges and misconceptions in named entity recognition. In CoNLL, 2009. Google ScholarDigital Library
- KM Schneider. Using information extraction to build a directory of conference announcements. In Computational Linguistics and Intelligent Text Processing, pages 521--532. Springer, 2004.Google ScholarCross Ref
- D. Pinto, A. McCallum, X. Wei, and B. Croft. Table extraction using conditional random fields. In SIGIR, pages 235--242. ACM, 2003. Google ScholarDigital Library
Index Terms
- Improved named entity recognition: patterns in columns model (PCM)
Recommendations
NERA: Named Entity Recognition for Arabic
Name identification has been worked on quite intensively for the past few years, and has been incorporated into several products revolving around natural language processing tasks. Many researchers have attacked the name identification problem in a ...
Preliminary Study on Efficient Named Entity Recognition
ICIAI '19: Proceedings of the 2019 3rd International Conference on Innovation in Artificial IntelligenceIn this paper, we describe our preliminary study for efficient recognition and extraction of named entities on mobile phones. The methodology investigation and experiment verification are focusing on two parts. The first part is a compressed named ...
Named Entity Recognition for Gujarati: A CRF Based Approach
MIKE 2013: Proceedings of the First International Conference on Mining Intelligence and Knowledge Exploration - Volume 8284This paper is about Named Entity Recognition (NER) for Gujarati language. Not much work has been done in NER for Gujarati. In this paper, an NER tagger is build using Conditional Random Fields (CRF). The NER tagger is capable of identifying person, ...
Comments