Cited by 2,788Topic ModelingNatural Language Processing TechniquesAdvanced Text Analysis Techniques

Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition

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Tjong Kim Sang, Erik F., De Meulder, Fien·2003·Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 -

Abstract

We describe the CoNLL-2003 shared task: language-independent named entity recognition. We give background information on the data sets (English and German) and the evaluation method, present a general overview of the systems that have taken part in the task and discuss their performance.

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Research works printed but not linked: 17

  1. Oliver Bender, Franz Josef Och, and Hermann Ney. 2003. Maximum Entropy Models for Named En- tity Recognition. In Proceedings of CoNLL-2003.
  2. Andrew Borthwick. 1999. A Maximum Entropy Ap- proach to Named Entity Recognition. PhD thesis, New York University.
  3. Xavier Carreras, Lluís Màrquez, and Lluís Padró. 2003a. Learning a Perceptron-Based Named En- tity Chunker via Online Recognition Feedback. In Proceedings of CoNLL-2003.
  4. Xavier Carreras, Lluís Màrquez, and Lluís Padró. 2003b. A Simple Named Entity Extractor using AdaBoost. In Proceedings of CoNLL-2003.
  5. Rich Caruana and Dayne Freitag. 1994. Greedy At- tribute Selection. In Proceedings of the Eleventh International Conference on Machine Learning, pages 28-36. New Brunswick, NJ, USA, Morgan Kaufman.
  6. Hai Leong Chieu and Hwee Tou Ng. 2003. Named Entity Recognition with a Maximum Entropy Ap- proach. In Proceedings of CoNLL-2003.
  7. James R. Curran and Stephen Clark. 2003. Lan- guage Independent NER using a Maximum En- tropy Tagger. In Proceedings of CoNLL-2003.
  8. Fien De Meulder and Walter Daelemans. 2003. Memory-Based Named Entity Recognition using Unannotated Data. In Proceedings of CoNLL- 2003.
  9. Radu Florian, Abe Ittycheriah, Hongyan Jing, and Tong Zhang. 2003. Named Entity Recognition through Classifier Combination. In Proceedings of CoNLL-2003.
  10. James Hammerton. 2003. Named Entity Recogni- tion with Long Short-Term Memory. In Proceed- ings of CoNLL-2003.
  11. Iris Hendrickx and Antal van den Bosch. 2003. Memory-based one-step named-entity recognition: Effects of seed list features, classifier stacking, and unannotated data. In Proceedings of CoNLL-2003.
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  14. Andrew McCallum and Wei Li. 2003. Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web- Enhanced Lexicons. In Proceedings of CoNLL- 2003.
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Authors
Tjong Kim Sang, E. F., & De Meulder, F.
Venue
Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 -
Published
2003
Volume
4
Pages
142-147
OpenAlex
W2144578941
Cited by
2,788
References
0
Citations by year
2026: 103 · 2025: 155 · 2024: 152 · 2023: 133 · 2022: 142 · 2021: 348 · 2020: 328 · 2019: 268 · 2018: 162 · 2017: 104 · 2016: 80 · 2015: 83 · 2014: 92 · 2013: 95 · 2012: 97
FWCI
34.72
Type
conference paper
Language
en
Open access
Locations
  • Conference on Computational Natural Language Learning (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
  • Physical Sciences › Computer Science › Artificial Intelligence › Advanced Text Analysis Techniques
Keywords
named entity recognition, evaluation methodology, system performance comparison

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