Named entity recognition with a maximum entropy approach

Authors:
Hai Leong Chieu;Hwee Tou Ng
Affiliations:
DSO National Laboratories, Singapore;National University of Singapore, Singapore
Venue:
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Year:
2003

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Abstract

The named entity recognition (NER) task involves identifying noun phrases that are names, and assigning a class to each name. This task has its origin from the Message Understanding Conferences (MUC) in the 1990s, a series of conferences aimed at evaluating systems that extract information from natural language texts. It became evident that in order to achieve good performance in information extraction, a system needs to be able to recognize names. A separate subtask on NER was created in MUC-6 and MUC-7 (Chinchor, 1998).