Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition
Erik F. Tjong Kim Sang

TL;DR
This paper introduces the CoNLL-2002 shared task focused on language-independent named entity recognition, providing background, system overviews, and performance analysis.
Contribution
It presents the first comprehensive overview of a multilingual NER shared task, including data, evaluation, and participating systems.
Findings
Multiple systems evaluated on shared datasets
Performance benchmarks established for NER tasks
Insights into language-independent NER challenges
Abstract
We describe the CoNLL-2002 shared task: language-independent named entity recognition. We give background information on the data sets 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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Taxonomy
TopicsTopic Modeling · Natural Language Processing Techniques · Biomedical Text Mining and Ontologies
