JOURNAL ARTICLE

Building a large-scale annotated Chinese corpus

Abstract

In this paper we address issues related to building a large-scale Chinese corpus. We try to answer four questions: (i) how to speed up annotation, (ii) how to maintain high annotation quality, (iii) for what purposes is the corpus applicable, and finally (iv) what future work we anticipate.

Keywords:
Annotation Computer science Natural language processing Scale (ratio) Artificial intelligence Quality (philosophy) Information retrieval Data science Cartography Geography

Metrics

135
Cited By
10.03
FWCI (Field Weighted Citation Impact)
7
Refs
0.99
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Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Biomedical Text Mining and Ontologies
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
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