php - NLP creating a model out of POS tags -

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i trying create knowledgebase based on text mining. using genia corpus tag words parts of speech. given 2 terms text, how create model finds out relation?

eg text:

hif1a gene involved in hypoxic regulation. hypoxia regulates brca1 gene expression associated in breast cancer.

i have pos tagged out. 

word     base form  part-of-speech    hif1a    hif1a          nn   gene     gene           nn                     vbz  involved     involve    vbn  in           in         in   hypoxic  hypoxic    jj   regulation   regulation nn   .            .          .    hypoxia  hypoxia        nn                 rb   regulates    regulate   vbz  brca1    brca1          nn   gene     gene           nn               wdt                    vbz            rb   associated   associate  vbn  in           in         in   breast   breast         nn   cancer   cancer         nn

i writing web interface when queried brca1 , hypoxia should tell there positive regulation between them. when queried hif1a , hypoxia should tell there positive regulation based on these sentences.

now have pos tagged dont know how proceed in creating model come identifying relation between them. example. want general biomedical terms , texts.

anyone suggestions?

relying solely on output of pos tagger you'll have define local grammar rules (patterns).

personally, suggest use (syntactic) parser argument structures regulate(hypoxia,brca1)...


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