Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
Erik F. Tjong Kim Sang, Fien De Meulder

TL;DR
This paper introduces the CoNLL-2003 shared task focused on language-independent named entity recognition, detailing datasets, evaluation methods, participating systems, and their performance across English and German.
Contribution
It provides a comprehensive overview of the shared task, including data, evaluation, and system performance, advancing research in language-independent NER.
Findings
Systems achieved varying performance levels on English and German datasets.
The shared task facilitated comparison of different NER approaches.
Performance insights guide future improvements in language-independent NER.
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTopic Modeling · Natural Language Processing Techniques · Data Quality and Management
