Infrastructure for Annotation-Driven Information Extraction from the Primary Scientific Literature: Principles and Practice

Burns, Gully A. P. C.; Feng, Dacheng; Ingulfsen, Tommy; Hovy, Eduard

doi:10.1109/services.2007.34

Cited by 1 publication

(1 citation statement)

References 35 publications

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“…Natural language processing (NLP) has not been applied to neuroinformatics until recently [16][17][18][19][20]. One wellknown example however is NeuroScholar, which is a knowledge management system for the neuroscience literature that allows authors to annotate papers, make notes and share them with others who also use that same platform [21][22][23]. Presently, Neuro-Scholar is developing useful NLP tools to make it easier for the user to make annotations efficiently.…”

Section: Introductionmentioning

confidence: 99%

Using UMLS to construct a generalized hierarchical concept-based dictionary of brain functions for information extraction from the fMRI literature

Hsiao

Chen

2009

Journal of Biomedical Informatics

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With a rapid progress in the field, a great many fMRI studies are published every year, to the extent that it is now becoming difficult for researchers to keep up with the literature, since reading papers is extremely time-consuming and labor-intensive. Thus, automatic information extraction has become an important issue. In this study, we used the Unified Medical Language System (UMLS) to construct a hierarchical concept-based dictionary of brain functions. To the best of our knowledge, this is the first generalized dictionary of this kind. We also developed an information extraction system for recognizing, mapping and classifying terms relevant to human brain study. The precision and recall of our system was on a par with that of human experts in term recognition, term mapping and term classification. Our approach presented in this paper presents an alternative to the more laborious, manual entry approach to information extraction.

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Section: Introductionmentioning

confidence: 99%

Using UMLS to construct a generalized hierarchical concept-based dictionary of brain functions for information extraction from the fMRI literature

Hsiao

Chen

2009

Journal of Biomedical Informatics

View full text Add to dashboard Cite

show abstract

Infrastructure for Annotation-Driven Information Extraction from the Primary Scientific Literature: Principles and Practice

Abstract: We present an informatics infrastructure for biocuration, based on a combination of techniques from Information Extraction (IE)

Cited by 1 publication

References 35 publications

Using UMLS to construct a generalized hierarchical concept-based dictionary of brain functions for information extraction from the fMRI literature

Using UMLS to construct a generalized hierarchical concept-based dictionary of brain functions for information extraction from the fMRI literature

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