Predicate: be

Roleset id: be.01 , copula, Source: , vncls: , framnet:

be.01: BE-V NOTES: Frames file for 'be' based on sentences in wsj. No Verbnet entry. (from be.01-v predicate notes) BEING-N NOTES: be.01 (from being.01-n)

Aliases:

AliasFrameNetVerbNet
be (v.)Performers_and_roles
being (n.)
art (v.)

Roles:

        Arg2 will probably be a PRD node, but NEVER a VP node!. (from be.01-v)
        Arg1-PPT: topic (vnrole: 109-1-1-theme)
        Arg2-PRD: comment (vnrole: 109-1-1-attribute)

Example: ARG1 and ARG2

        Ko has discovered that as more and more of these stores have opened in Kaohsiung , he and his wife go to department stores less , because in department stores you can only buy clothes , but in superstores you can buy daily necessities , hardware and so forth , and the selection is better .

        Arg1: the selection
        Rel: is
        Arg2: better

Example: Arg1, 2

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

        George's being a brat ruined the field trip for everybody.

        Arg1: George's
        Rel: being
        Arg2: a brat

Roleset id: be.02 , existential, existing, Source: , vncls: , framnet:

be.02: BE-V NOTES: Frames file for 'be' based on sentences in wsj. No Verbnet entry. (from be.02-v predicate notes) BEING-N NOTES: be.02. Corresponds to ontonotes sense 1. (from being.02-n)

Aliases:

AliasFrameNetVerbNet
be (v.)
being (n.)

Roles:

        Arg1-PPT: thing that is

Example: ARG1

        She discovered that there was n't a single open parking space among the hundreds on the first and second floors of the parking structure .

        Rel: was
        Argm-neg: n't
        Arg1: a single open parking space among the hundreds on the first and second floors of the parking structure

Example: Arg1, with adjectival

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

        The existence of the hideous theatre, its very being, offended him so badly as to cause him nausea each day he passed the decrepit building.

        Arg1: its
        Argm-adj: very
        Rel: being

Roleset id: be.03 , auxiliary, Source: , vncls: , framnet:

be.03: BE-V NOTES: Frames file for 'be' based on sentences in wsj. No Verbnet entry. (from be.03-v predicate notes)

Aliases:

AliasFrameNetVerbNet
be (v.)

Roles:

        do not tag--no arguments! Will be followed by a VP node. (from be.03-v)

Example: unk

        The performance of these large retailers in Taiwan has been startling , and superstore chains from Holland , France , the United States and Britain have been arriving on these shores one after another .

        Rel: been


Predicate: be_like

Roleset id: be_like.04 , be_like: multiword expression akin to "say", Source: , vncls: , framnet:

be_like.04: BE_LIKE-V NOTES: This usage is common in data that contains spoken English. Examples taken from EBC. (from be.04-v predicate notes)

Aliases:

AliasFrameNetVerbNet
be_like (v.)

Roles:

        Arg0-PAG: speaker
        Arg1-PPT: utterance

Example: definitely spoken

        When it comes to ABC *T*-1 they be like A B.

        Argm-tmp: When it comes to ABC *T*-1
        Arg0: they
        Rel: [ be] [ like]
        Arg1: A B

Example: say

        And I 'm like why 's the door open *T*?

        Argm-dis: And
        Arg0: I
        Rel: [ 'm] [ like]
        Arg1: why 's the door open *T*?

Example: one more example

        I know 0 my producers are probably like ah uh.

        Arg0: my producers
        Rel: [ are] [ like]
        Arg1: ah uh


Predicate: be_all

Roleset id: be_all.05 , say, Source: , vncls: , framnet:

be_all.05: BE_ALL-V NOTES: Based on SMS data. Comparison to be.04 and say.01. No VN or FN classes. Framed by Katie. (from be.05-v)

Aliases:

AliasFrameNetVerbNet
be_all (v.)

Roles:

        Arg0-PAG: speaker
        Arg1-PPT: utterance
        Arg2-PRD: attributive, comment on utterance, topic of utterance

Example:

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

        She was all 'thats horrible" about the breakup

        Arg0: She
        Rel: [was], [all]
        Arg1: "thats horrible"
        Arg2: about the breakup.