Releases: napsternxg/TwitterNER
Releases · napsternxg/TwitterNER
Camera Ready Version
This code was submitted along with the camera ready version of the paper titled "Semi-supervised Named Entity Recognition in noisy-text" to appear in "Proceedings of the 2nd Workshop on Noisy User-generated Text at COLING 2016". Details at: http://noisy-text.github.io/2016/
Please cite as:
@INPROCEEDINGS {mishra2016_wnut_ner,
author = "Shubhanshu Mishra and Jana Diesner",
title = "Semi-supervised Named Entity Recognition in noisy-text",
booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text at COLING 2016",
year = "2016",
month = "dec"
}
WNUT NER 2016
Submission to WNUT NER 2016
processed 23050 tokens with 937 phrases; found: 587 phrases; correct: 268.,
accuracy: 94.06%; precision: 45.66%; recall: 28.60%; FB1: 35.17,
company: precision: 40.00%; recall: 19.44%; FB1: 26.17 35,
facility: precision: 37.04%; recall: 21.74%; FB1: 27.40 27,
geo-loc: precision: 50.00%; recall: 52.47%; FB1: 51.20 170,
movie: precision: 14.29%; recall: 5.56%; FB1: 8.00 7,
musicartist: precision: 0.00%; recall: 0.00%; FB1: 0.00 5,
other: precision: 31.25%; recall: 16.76%; FB1: 21.82 96,
person: precision: 55.66%; recall: 48.36%; FB1: 51.75 212,
product: precision: 17.65%; recall: 6.52%; FB1: 9.52 17,
sportsteam: precision: 41.18%; recall: 6.67%; FB1: 11.48 17,
tvshow: precision: 0.00%; recall: 0.00%; FB1: 0.00 1