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)
Aliases:
| Alias | FrameNet | VerbNet |
|---|
| correlate (v.) | | |
| correlation (n.) | | |
| correlated (j.) | | |
Roles:
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
Aliases:
| Alias | FrameNet | VerbNet |
|---|
| autocorrelate (v.) | | |
| auto-correlate (v.) | | |
| auto_correlate (v.) | | |
| autocorrelation (n.) | | |
| auto-correlation (n.) | | |
| auto_correlation (v.) | | |
Roles:
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
Aliases:
| Alias | FrameNet | VerbNet |
|---|
| crosscorrelate (v.) | | |
| cross-correlate (v.) | | |
| cross_correlate (v.) | | |
| crosscorrelation (n.) | | |
| cross-correlation (n.) | | |
| cross_correlation (v.) | | |
Roles:
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