Predicate: word

Roleset id: word.01 , to express in words, Source: , vncls: , framnet:

word.01: WORD-V NOTES: Frames file for 'word' based on survey of sentences in the WSJ corpus. (from word.01-v predicate notes)
       
        WORDING-N NOTES: Based on Thyme data. Comparison to word-v.xml. No VN or FN classes. Framed by Katie. (from wording.01-n)

Aliases:

AliasFrameNetVerbNet
word (v.)Encoding
wording (n.)
word (n.)

Roles:

        Arg0-PAG: expresser, agent
        Arg1-PPT: text

Example: passive

        person: ns,  tense: present,  aspect: ns,  voice: passive,  form: participle

        But Robert Gabele , president of Invest\/Net , a North Miami , Fla. , company that [*T*-6] packages and sells the insider-trading data , said [0][the proposal]-4 is worded [*-4] so vaguely that key officials may fail [*-1] to file the reports .

        Rel: worded
        Arg1: [*-4]
        Argm-mnr: so vaguely that key officials may fail [*-1] to file the reports

Example: location

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

        Based on the wording in the endoscopy report

        Rel: wording
        Argm-loc: in the endoscopy report

Roleset id: word.02 , talk with, Source: , vncls: , framnet:

word.02: Based on Bolt data. Comparison with talk.01. Likely only to appear in LVCs.

Aliases:

AliasFrameNetVerbNet
word (n.)
have_word (l.)

Roles:

        Arg0-PAG: talker
        Arg1-PPT: subject
        Arg2-GOL: hearer

Example: all args

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

        I had words with Chen Mingjiang over this.

        Arg0: I
        Argm-lvb: had
        Rel: words
        Arg2: with Chen Mingjiang
        Arg1: over this.