Results 1 - 10 of 44,532

Classification of MEDLINE Abstracts

by Katsutoshi Ibushi, Nigel Collier
"... This paper provides the preliminary result in our experiments to automatically assign MeSH terms to MEDLINE abstracts. Every year about 100,000 documents are added to MEDLINE, index terms are assigned by hand to each document from a controlled vocabulary called MeSH. This is necessarily time consumi ..."
Abstract - Add to MetaCart
This paper provides the preliminary result in our experiments to automatically assign MeSH terms to MEDLINE abstracts. Every year about 100,000 documents are added to MEDLINE, index terms are assigned by hand to each document from a controlled vocabulary called MeSH. This is necessarily time

Mining Medline: Abstracts, Sentences, Or Phrases?

by J. Ding, D. Berleant, D. Nettleton, E. Wurtele , 2002
"... Sentence pair Sentence Phrase w--} w>0.511 - 0.339<w<0.510 w<0.338 5 Discussion and Conclusion In view of the results reported here it is not surprising that researchers have reported interesting results for text mining in MEDLINE based on abstracts, sentences, and phrases. Tables 2 a ..."
Abstract - Cited by 73 (3 self) - Add to MetaCart
Sentence pair Sentence Phrase w--} w>0.511 - 0.339<w<0.510 w<0.338 5 Discussion and Conclusion In view of the results reported here it is not surprising that researchers have reported interesting results for text mining in MEDLINE based on abstracts, sentences, and phrases. Tables 2

A Study of Abbreviations in MEDLINE Abstracts

by Hongfang Liu Ms, Alan R. Aronson Phd, Carol Friedman , 2002
"... Abbreviations are widely used in writing, and the understanding of abbreviations is important for natural language processing applications. Abbreviations are not always defined in a document and they are highly ambiguous. A knowledge base that consists of abbreviations with their associated senses ..."
Abstract - Add to MetaCart
and a method to resolve the ambiguities are needed. In this paper, we studied the UMLS coverage, textual variants of senses, and the ambiguity of abbreviations in MEDLINE abstracts.

MINING MEDLINE: ABSTRACTS, SENTENCES, OR PHRASES?

by J. Ding A, D. Berleant A, D. Nettleton B, E. Wurtele C
"... A growing body of work addresses automated mining for biochemical information from digital repositories of scientific literature such as MEDLINE. Some of this work uses abstracts as the unit of text from which to extract facts. Other work uses sentences for this purpose, while still other work uses ..."
Abstract - Add to MetaCart
A growing body of work addresses automated mining for biochemical information from digital repositories of scientific literature such as MEDLINE. Some of this work uses abstracts as the unit of text from which to extract facts. Other work uses sentences for this purpose, while still other work uses

Recognizing gene and protein function in MEDLINE abstracts

by Richard D. Hull, Larry F. Waldman - in “Proc. Text Retrieval Conference (TREC)”, NIST—National Institute of Standards and Technology, National Institute of Standards and Technology (NIST , 2003
"... Identification of genes and proteins that affect biological function in humans and other organisms is a critical step in the discovery of new medicinal therapies. Automatic recognition of MEDLINE abstracts that describe gene/protein function would be of tremendous benefit to researchers in industry, ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Identification of genes and proteins that affect biological function in humans and other organisms is a critical step in the discovery of new medicinal therapies. Automatic recognition of MEDLINE abstracts that describe gene/protein function would be of tremendous benefit to researchers in industry

Learning to Extract Proteins and their Interactions from Medline Abstracts

by Razvan Bunescu, Ruifang Ge, Rohit J. Kate, Raymond J. Mooney, Yuk Wah Wong, Edward M. Marcotte, Arun Ramani - In: ICML-2003 Workshop on Machine Learning in Bioinformatics. (2003 , 2003
"... We present results from a variety of learned information extraction systems for identifying human protein names in Medline abstracts and subsequently extracting interactions between the proteins. We demonstrate that machine learning approaches using support vector machines and hidden Markov m ..."
Abstract - Cited by 13 (1 self) - Add to MetaCart
We present results from a variety of learned information extraction systems for identifying human protein names in Medline abstracts and subsequently extracting interactions between the proteins. We demonstrate that machine learning approaches using support vector machines and hidden Markov

Detecting Gene Relations from Medline Abstracts

by M. Stephens, M. Palakal, S. Mukhopadhyay, R. Raje, J. Mostafa - Pac. Symp. Biocomput , 2001
"... this article, we present a simple analysis and knowledge discovery ..."
Abstract - Cited by 58 (1 self) - Add to MetaCart
this article, we present a simple analysis and knowledge discovery

Gene clustering by latent semantic indexing of Medline abstracts

by Ramin Homayouni, Kevin Heinrich, Lai Wei, Michael W. Berry - Bioinformatics
"... Motivation: A major challenge in the interpretation of high-throughput genomic data is understanding the functional asso-ciations between genes. Previously, several approaches have been described to extract gene relationships from various bio-logical databases using term-matching methods. However, m ..."
Abstract - Cited by 52 (8 self) - Add to MetaCart
conceptual gene relationships from titles and abstracts in MEDLINE citations. Results: We found that LSI identified gene-to-gene and keyword-to-gene relationships with high average precision. In addition, LSI identified implicit gene relationships based on word usage patterns in the gene abstract documents

Automatically Identifying Gene/Protein Terms in MEDLINE Abstracts

by Hong Yu, Vasileios Hatzivassiloglou, Andrey Rzhetsky, W. John Wilbur - Journal of Biomedical Informatics , 2002
"... Motivation. Natural language processing (NLP) techniques are used to extract informationautomatically from computerreadable literature. ..."
Abstract - Cited by 10 (0 self) - Add to MetaCart
Motivation. Natural language processing (NLP) techniques are used to extract informationautomatically from computerreadable literature.

A semantically annotated corpus from MEDLINE abstracts

by Tomoko Ohta, Yuka Tateisi, Nigel Collier, Chikashi Nobata, Katsutoshi Ibushi - In Proceedings of the Tenth Workshop on Genome Informatics. Universal Academy , 1999
"... Automatic information extraction is a key technology to help researchers access the information contained in research papers and to extend databases on substances and biological processes. We aim to build information extraction databases [2] from biochemical papers and their abstracts available from ..."
Abstract - Cited by 6 (4 self) - Add to MetaCart
Automatic information extraction is a key technology to help researchers access the information contained in research papers and to extend databases on substances and biological processes. We aim to build information extraction databases [2] from biochemical papers and their abstracts available
Results 1 - 10 of 44,532