Sökning: onr:"swepub:oai:DiVA.org:his-1858" > Deriving pathway ma...
Fältnamn | Indikatorer | Metadata |
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000 | 02701naa a2200277 4500 | |
001 | oai:DiVA.org:his-1858 | |
003 | SwePub | |
008 | 070912s2006 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18582 URI |
024 | 7 | a https://doi.org/10.1142/S02197200060020412 DOI |
040 | a (SwePub)his | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Olsson, Björnu Högskolan i Skövde,Institutionen för kommunikation och information4 aut0 (Swepub:his)olsb |
245 | 1 0 | a Deriving pathway maps from automated text analysis using a grammar-based approach |
264 | 1 | b World Scientific,c 2006 |
338 | a print2 rdacarrier | |
520 | a We demonstrate how automated text analysis can be used to support the large-scale analysis of metabolic and regulatory pathways by deriving pathway maps from textual descriptions found in the scientific literature. The main assumption is that correct syntactic analysis combined with domain-specific heuristics provides a good basis for relation extraction. Our method uses an algorithm that searches through the syntactic trees produced by a parser based on a Referent Grammar formalism, identifies relations mentioned in the sentence, and classifies them with respect to their semantic class and epistemic status (facts, counterfactuals, hypotheses). The semantic categories used in the classification are based on the relation set used in KEGG (Kyoto Encyclopedia of Genes and Genomes), so that pathway maps using KEGG notation can be automatically generated. We present the current version of the relation extraction algorithm and an evaluation based on a corpus of abstracts obtained from PubMed. The results indicate that the method is able to combine a reasonable coverage with high accuracy. We found that 61% of all sentences were parsed, and 97% of the parse trees were judged to be correct. The extraction algorithm was tested on a sample of 300 parse trees and was found to produce correct extractions in 90.5% of the cases. | |
700 | 1 | a Gawronska, Barbarau Högskolan i Skövde,Institutionen för kommunikation och information4 aut0 (Swepub:his)gawb |
700 | 1 | a Erlendsson, Björnu Högskolan i Skövde,Institutionen för kommunikation och information4 aut0 (Swepub:his)erlb |
710 | 2 | a Högskolan i Skövdeb Institutionen för kommunikation och information4 org |
773 | 0 | t Journal of Bioinformatics and Computational Biologyd : World Scientificg 4:2, s. 483-501q 4:2<483-501x 0219-7200x 1757-6334 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-1858 |
856 | 4 8 | u https://doi.org/10.1142/S0219720006002041 |
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