Protein name tagging guidelines: lessons learned

Authors: Mani Inderjeet1; Hu Zhangzhi1; Jang Seok Bae1; Samuel Ken2; Krause Matthew1; Phillips Jon1; Wu Cathy H.1

Source: Comparative and Functional Genomics, Volume 6, Numbers 1-2, February 2005 , pp. 72-76(5)

Publisher: John Wiley & Sons, Ltd.

Buy & download fulltext article:

The full text article is not available for purchase.

The publisher only permits individual articles to be downloaded by subscribers.

Abstract:

Interest in information extraction from the biomedical literature is motivated by the need to speed up the creation of structured databases representing the latest scientific knowledge about specific objects, such as proteins and genes. This paper addresses the issue of a lack of standard definition of the problem of protein name tagging. We describe the lessons learned in developing a set of guidelines and present the first set of inter-coder results, viewed as an upper bound on system performance. Problems coders face include: (a) the ambiguity of names that can refer to either genes or proteins; (b) the difficulty of getting the exact extents of long protein names; and (c) the complexity of the guidelines. These problems have been addressed in two ways: (a) defining the tagging targets as protein named entities used in the literature to describe proteins or protein-associated or -related objects, such as domains, pathways, expression or genes, and (b) using two types of tags, protein tags and long-form tags, with the latter being used to optionally extend the boundaries of the protein tag when the name boundary is difficult to determine. Inter-coder consistency across three annotators on protein tags on 300 MEDLINE abstracts is 0.868 F-measure. The guidelines and annotated datasets, along with automatic tools, are available for research use. Copyright © 2005 John Wiley & Sons, Ltd.

Keywords: nomenclature; protein names; guidelines; database curation; named entity tagging; inter-coder reliability

Document Type: Miscellaneous

DOI: http://dx.doi.org/10.1002/cfg.452

Affiliations: 1: Georgetown University, 37th and O Streets NW, Washington, DC 20057, USA 2: The MITRE Corporation, 7515 Colshire Drive, McLean, VA 22102, USA

Publication date: 2005-02-01

More about this publication?
Related content

Tools

Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content

Text size:

A | A | A | A
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages. print icon Print this page