Literature DB >> 16420734

What makes a gene name? Named entity recognition in the biomedical literature.

Ulf Leser1, Jörg Hakenberg.   

Abstract

The recognition of biomedical concepts in natural text (named entity recognition, NER) is a key technology for automatic or semi-automatic analysis of textual resources. Precise NER tools are a prerequisite for many applications working on text, such as information retrieval, information extraction or document classification. Over the past years, the problem has achieved considerable attention in the bioinformatics community and experience has shown that NER in the life sciences is a rather difficult problem. Several systems and algorithms have been devised and implemented. In this paper, the problems and resources in NER research are described, the principal algorithms underlying most systems sketched, and the current state-of-the-art in the field surveyed.

Mesh:

Year:  2005        PMID: 16420734     DOI: 10.1093/bib/6.4.357

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  32 in total

1.  Mining the pharmacogenomics literature--a survey of the state of the art.

Authors:  Udo Hahn; K Bretonnel Cohen; Yael Garten; Nigam H Shah
Journal:  Brief Bioinform       Date:  2012-07       Impact factor: 11.622

2.  Building disease-specific drug-protein connectivity maps from molecular interaction networks and PubMed abstracts.

Authors:  Jiao Li; Xiaoyan Zhu; Jake Yue Chen
Journal:  PLoS Comput Biol       Date:  2009-07-31       Impact factor: 4.475

3.  Improved mutation tagging with gene identifiers applied to membrane protein stability prediction.

Authors:  Rainer Winnenburg; Conrad Plake; Michael Schroeder
Journal:  BMC Bioinformatics       Date:  2009-08-27       Impact factor: 3.169

4.  PosMed-plus: an intelligent search engine that inferentially integrates cross-species information resources for molecular breeding of plants.

Authors:  Yuko Makita; Norio Kobayashi; Yoshiki Mochizuki; Yuko Yoshida; Satomi Asano; Naohiko Heida; Mrinalini Deshpande; Rinki Bhatia; Akihiro Matsushima; Manabu Ishii; Shuji Kawaguchi; Kei Iida; Kosuke Hanada; Takashi Kuromori; Motoaki Seki; Kazuo Shinozaki; Tetsuro Toyoda
Journal:  Plant Cell Physiol       Date:  2009-06-15       Impact factor: 4.927

Review 5.  Preparing next-generation scientists for biomedical big data: artificial intelligence approaches.

Authors:  Jason H Moore; Mary Regina Boland; Pablo G Camara; Hannah Chervitz; Graciela Gonzalez; Blanca E Himes; Dokyoon Kim; Danielle L Mowery; Marylyn D Ritchie; Li Shen; Ryan J Urbanowicz; John H Holmes
Journal:  Per Med       Date:  2019-02-14       Impact factor: 2.512

6.  Prioritizing PubMed articles for the Comparative Toxicogenomic Database utilizing semantic information.

Authors:  Sun Kim; Won Kim; Chih-Hsuan Wei; Zhiyong Lu; W John Wilbur
Journal:  Database (Oxford)       Date:  2012-11-17       Impact factor: 3.451

7.  Named entity recognition for bacterial Type IV secretion systems.

Authors:  Sophia Ananiadou; Dan Sullivan; William Black; Gina-Anne Levow; Joseph J Gillespie; Chunhong Mao; Sampo Pyysalo; Balakrishna Kolluru; Junichi Tsujii; Bruno Sobral
Journal:  PLoS One       Date:  2011-03-29       Impact factor: 3.240

8.  Challenges in the association of human single nucleotide polymorphism mentions with unique database identifiers.

Authors:  Philippe E Thomas; Roman Klinger; Laura I Furlong; Martin Hofmann-Apitius; Christoph M Friedrich
Journal:  BMC Bioinformatics       Date:  2011-07-05       Impact factor: 3.169

9.  BioEve Search: A Novel Framework to Facilitate Interactive Literature Search.

Authors:  Syed Toufeeq Ahmed; Hasan Davulcu; Sukru Tikves; Radhika Nair; Zhongming Zhao
Journal:  Adv Bioinformatics       Date:  2012-05-28

10.  BioDEAL: community generation of biological annotations.

Authors:  Paul Breimyer; Nathan Green; Vinay Kumar; Nagiza F Samatova
Journal:  BMC Med Inform Decis Mak       Date:  2009-11-03       Impact factor: 2.796

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.