Results 41 to 50 of about 43,712,030 (248)
OSCAR4: a flexible architecture for chemical text-mining. [PDF]
, 2011 The Open-Source Chemistry Analysis Routines (OSCAR) software, a toolkit for the recognition of named entities and data in chemistry publications, has been developed since 2002.
David M Jessop +14 more
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Text-mining research in genomics [PDF]
, 2008 Biomedical text-mining have great promise to improve the usefulness of genomic researchers. The goal of text-mining is analyzed large collections of unstructured documents for the purposes of extracting interesting and non-trivial patterns of knowledge ...
Moya-Anegón, Félix, Gálvez, Carmen
core +1 more source
Text Analytics for Android Project [PDF]
, 2014 Most advanced text analytics and text mining tasks include text classification, text clustering, building ontology, concept/entity extraction, summarization, deriving patterns within the structured data, production of granular taxonomies, sentiment and ...
Jackute, Ieva +9 more
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PLoS Biology, 2020 Data-driven research in biomedical science requires structured, computable data. Increasingly, these data are created with support from automated text mining.
Robert Leaman +3 more
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Mining biomedical texts for disease-related pathways [PDF]
Proceedings of the Workshop on Linking Natural Language Processing and Biology Towards Deeper Biological Literature Analysis - BioNLP '06, 2006 I will describe my collaborators' and my own effort to compile large models of molecular pathways in complex human disorders. The talk will address a number of interrelated questions: How to extract facts from texts at a large scale? How to assess the quality of the extracted facts?
openaire +2 more sources
Biomedical event extraction based on GRU integrating attention mechanism
BMC Bioinformatics, 2018 Background Biomedical event extraction is a crucial task in biomedical text mining. As the primary forum for international evaluation of different biomedical event extraction technologies, BioNLP Shared Task represents a trend in biomedical text mining ...
Lishuang Li +3 more
doaj +1 more source
A Novel Text-Mining Approach for Retrieving Pharmacogenomics Associations From the Literature
Frontiers in Pharmacology, 2020 Text mining in biomedical literature is an emerging field which has already been shown to have a variety of implementations in many research areas, including genetics, personalized medicine, and pharmacogenomics.
Maria-Theodora Pandi +7 more
doaj +1 more source
Adaptive text mining: Inferring structure from sequences [PDF]
, 2004 Text mining is about inferring structure from sequences representing natural language text, and may be defined as the process of analyzing text to extract information that is useful for particular purposes.
Witten, Ian H.
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Literature Based Discovery (LBD): Towards Hypothesis Generation and Knowledge Discovery in Biomedical Text Mining [PDF]
, 2023 Biomedical knowledge is growing in an astounding pace with a majority of this knowledge is represented as scientific publications. Text mining tools and methods represents automatic approaches for extracting hidden patterns and trends from this semi ...
Natarajan, Jeyakumar +2 more
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PLoS ONE, 2021 Biomedical and life science literature is an essential way to publish experimental results. With the rapid growth of the number of new publications, the amount of scientific knowledge represented in free text is increasing remarkably. There has been much
Halima Alachram +4 more
doaj +2 more sources