Annotation of chemical named entities. Corbett, P., Batchelor, C., & Teufel, S. Proceedings of the Workshop on BioNLP 2007 Biological Translational and Clinical Language Processing BioNLP 07, pages(June):57-64, Association for Computational Linguistics, 2007. ![Annotation of chemical named entities [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website abstract bibtex We describe the annotation of chemical named entities in scientific text. A set of annotation guidelines defines 5 types of named entities, and provides instructions for the resolution of special cases. A corpus of fulltext chemistry papers was annotated, with an inter-annotator agreement score of 93%. An investigation of named entity recognition using LingPipe suggests that scores of 63 % are possible without customisation, and scores of 74 % are possible with the addition of custom tokenisation and the use of dictionaries. 1
@article{
title = {Annotation of chemical named entities},
type = {article},
year = {2007},
identifiers = {[object Object]},
pages = {57-64},
volume = {pages},
websites = {http://portal.acm.org/citation.cfm?doid=1572392.1572403},
publisher = {Association for Computational Linguistics},
id = {db7c6b01-bd12-3304-a9f0-b39afb9d3cde},
created = {2011-12-28T07:04:55.000Z},
file_attached = {false},
profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},
group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},
last_modified = {2017-03-14T14:36:19.698Z},
tags = {named entities},
read = {false},
starred = {false},
authored = {false},
confirmed = {true},
hidden = {false},
citation_key = {Corbett2007},
private_publication = {false},
abstract = {We describe the annotation of chemical named entities in scientific text. A set of annotation guidelines defines 5 types of named entities, and provides instructions for the resolution of special cases. A corpus of fulltext chemistry papers was annotated, with an inter-annotator agreement score of 93%. An investigation of named entity recognition using LingPipe suggests that scores of 63 % are possible without customisation, and scores of 74 % are possible with the addition of custom tokenisation and the use of dictionaries. 1},
bibtype = {article},
author = {Corbett, Peter and Batchelor, Colin and Teufel, Simone},
journal = {Proceedings of the Workshop on BioNLP 2007 Biological Translational and Clinical Language Processing BioNLP 07},
number = {June}
}
Downloads: 0
{"_id":"EE7mooE3YtxmvqcRj","bibbaseid":"corbett-batchelor-teufel-annotationofchemicalnamedentities-2007","authorIDs":[],"author_short":["Corbett, P.","Batchelor, C.","Teufel, S."],"bibdata":{"title":"Annotation of chemical named entities","type":"article","year":"2007","identifiers":"[object Object]","pages":"57-64","volume":"pages","websites":"http://portal.acm.org/citation.cfm?doid=1572392.1572403","publisher":"Association for Computational Linguistics","id":"db7c6b01-bd12-3304-a9f0-b39afb9d3cde","created":"2011-12-28T07:04:55.000Z","file_attached":false,"profile_id":"5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6","group_id":"066b42c8-f712-3fc3-abb2-225c158d2704","last_modified":"2017-03-14T14:36:19.698Z","tags":"named entities","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"Corbett2007","private_publication":false,"abstract":"We describe the annotation of chemical named entities in scientific text. A set of annotation guidelines defines 5 types of named entities, and provides instructions for the resolution of special cases. A corpus of fulltext chemistry papers was annotated, with an inter-annotator agreement score of 93%. An investigation of named entity recognition using LingPipe suggests that scores of 63 % are possible without customisation, and scores of 74 % are possible with the addition of custom tokenisation and the use of dictionaries. 1","bibtype":"article","author":"Corbett, Peter and Batchelor, Colin and Teufel, Simone","journal":"Proceedings of the Workshop on BioNLP 2007 Biological Translational and Clinical Language Processing BioNLP 07","number":"June","bibtex":"@article{\n title = {Annotation of chemical named entities},\n type = {article},\n year = {2007},\n identifiers = {[object Object]},\n pages = {57-64},\n volume = {pages},\n websites = {http://portal.acm.org/citation.cfm?doid=1572392.1572403},\n publisher = {Association for Computational Linguistics},\n id = {db7c6b01-bd12-3304-a9f0-b39afb9d3cde},\n created = {2011-12-28T07:04:55.000Z},\n file_attached = {false},\n profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},\n group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},\n last_modified = {2017-03-14T14:36:19.698Z},\n tags = {named entities},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Corbett2007},\n private_publication = {false},\n abstract = {We describe the annotation of chemical named entities in scientific text. A set of annotation guidelines defines 5 types of named entities, and provides instructions for the resolution of special cases. A corpus of fulltext chemistry papers was annotated, with an inter-annotator agreement score of 93%. An investigation of named entity recognition using LingPipe suggests that scores of 63 % are possible without customisation, and scores of 74 % are possible with the addition of custom tokenisation and the use of dictionaries. 1},\n bibtype = {article},\n author = {Corbett, Peter and Batchelor, Colin and Teufel, Simone},\n journal = {Proceedings of the Workshop on BioNLP 2007 Biological Translational and Clinical Language Processing BioNLP 07},\n number = {June}\n}","author_short":["Corbett, P.","Batchelor, C.","Teufel, S."],"urls":{"Website":"http://portal.acm.org/citation.cfm?doid=1572392.1572403"},"bibbaseid":"corbett-batchelor-teufel-annotationofchemicalnamedentities-2007","role":"author","downloads":0,"html":""},"bibtype":"article","creationDate":"2020-02-06T23:48:11.849Z","downloads":0,"keywords":[],"search_terms":["annotation","chemical","named","entities","corbett","batchelor","teufel"],"title":"Annotation of chemical named entities","year":2007}