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NYU: Description of the MENE Named Entity System as Used in MUC-7
Borthwick et al describe MENE, a maxent named entity classification system. It tags one word at a time, in sequential order, with one of the following tags:
- _start
- _continue
- _end
- _unique
- other
It uses the following binary features:
- word features for words n-2...n (e.g., word[n-1]='Mr.')
- section features (e.g., section='preamble')
- wordlist features (e.g., word[n] in first_names)
- other systems (e.g., proteus.tag(n)=person_start)
Any feature that occurs atleast 3 times is used. The results are quite good (f-measure around 84%), and get even better when the other-system features are used (f-measure around 92%).
Bibtex
@InProceedings{borthwick1998, author = {Andrew Borthwick and John Sterling and Eugene Agichtein and Ralph Grishman}, title = {NYU: Description of the MENE Named Entity System as Used in MUC-7}, booktitle = {Proceedings of the Seventh Message Understanding Conference (MUC-7)}, year = 1998 }