Predicate: correlate

Roleset id: correlate.01 , to be mutually related, Source: , vncls: , framnet:

correlate.01: CORRELATE-V NOTES: Frame created by Claire (from correlate.01-v) CORRELATION-N NOTES: correlate.01 (from correlation.01-n)


correlate (v.)
correlation (n.)
correlated (j.)


        Arg0-PAG: causer of relation (vnrole: 22.2-2-1-Agent, 86.1-Agent)
        Arg1-PPT: topic, first entity in relation (vnrole: 22.2-2-1-Patient, 86.1-Theme)
        Arg2-PPT: with what? second entity in relation (vnrole: 22.2-2-1-co-patient, 86.1-co-theme)

Example: correlate-v: Linguist Favorite: sign and signified

        In this restricted sense, signs-1 are causally correlated *-1 with thatwhich is signified.

        Argm-mnr: In this restricted sense
        Argm-mnr: causally
        Rel: correlated
        Arg1: *-1
        Arg2: with that which is signified

Example: correlation-n: All args, inanimate causer

        person: ns,  tense: ns,  aspect: ns,  voice: ns,  form: ns

        The study's correlation between cell phone usage and cancer rates is tenuous at best.

        Arg0: The study's
        Rel: correlation
        Arg1: between cell phone usage
        Arg2: and cancer rates

Predicate: autocorrelate

Roleset id: autocorrelate.02 , cross-correlation of something (a signal?) with itself, Source: , vncls: , framnet:

autocorrelate.02: AUTOCORRELATE-V NOTES: Added by Julia


autocorrelate (v.)
auto-correlate (v.)
auto_correlate (v.)
autocorrelation (n.)
auto-correlation (n.)
auto_correlation (v.)


        Arg0-PAG: agent/causer of correlation
        Arg1-PPT: first (or all) instances correlated
        Arg2-PPT: second instance correlated

Example: autocorrelate-v

        [If a time series of length N]-1 is autocorrelated *-1, the number of independent observations is fewer than N .

        Rel: autocorrelated
        Arg1: *-1

Example: autocorrelation-n

        In statistics, the autocorrelation of a random process describes the correlation between values of the process at different times, as a function of the two times or of the time lag.

        Rel: autocorrelation
        Arg1: of a random process

Predicate: crosscorrelate

Roleset id: crosscorrelate.03 , compare one set of data against another, Source: , vncls: , framnet:

crosscorrelate.03: CROSSCORRELATE-V NOTES: Added by Julia


crosscorrelate (v.)
cross-correlate (v.)
cross_correlate (v.)
crosscorrelation (n.)
cross-correlation (n.)
cross_correlation (v.)


        Arg0-PAG: agent/causer of correlation
        Arg1-PPT: first (or all) set correlated
        Arg2-PPT: second set

Example: crosscorrelate-v

        For each CMBR map, we generated 5000 realizations and cross-correlated them against each of the four galaxy maps.

        Argm-adv: For each CMBR map
        Arg0: we
        Rel: cross-correlated
        Arg1: them
        Arg2: against each of our four galaxy maps

Example: cross_correlation-m

        One approach to identifying a pattern within an image uses cross correlation of the image with a suitable mask.

        Rel: [cross][correlation]
        Arg1: of the image
        Arg2: with a suitable mask