Frameset

Frames file for 'make' based on initial sample of sentences from big corpus

Predicate make:

Roleset make.01 Verbnet Class: 1 "create":

Roles:

Arg0:creator

Arg1:creation

Arg2:created-from, thing changed

Arg3:benefactive

Examples:

basic transitive (-)
`Loews Corp makes Kent cigarettes.`
Arg0:	Loews Corp
REL:	makes
Arg1:	Kent cigarettes

source = subject (-)
A form of asbestos once used *trace=asbestos* *trace=empty* to make cigarettes.

Arg2: *trace=asbestos*

Arg0: *trace=empty*

REL: to make

Arg1: cigarettes

source = subject (-)
`A form of asbestos once used trace=asbestos trace=empty to make cigarettes.`
Arg2:	trace=asbestos
Arg0:	trace=empty
REL:	to make
Arg1:	cigarettes

passive, source as of-phrase (-)
Those chips are made *trace=chips* of gallium arsenide.

REL: are made

Arg1: *trace=chips*

Arg2-of: gallium arsenide

passive, source as of-phrase (-)
`Those chips are made trace=chips of gallium arsenide.`
REL:	are made
Arg1:	trace=chips
Arg2-of:	gallium arsenide

person: third tense: present aspect: perfect voice: active form: participle
mincemeat pie (-)

But the surprisingly durable seven-year economic expansion has made mincemeat of more than one forecast.

ArgM-DIS: But

Arg0: the surprisingly durable seven-year economic expansion

REL: made

Arg1: mincemeat

Arg2-of: more than one forecast

mincemeat pie (-)
`But the surprisingly durable seven-year economic expansion has made mincemeat of more than one forecast.`
ArgM-DIS:	But
Arg0:	the surprisingly durable seven-year economic expansion
REL:	made
Arg1:	mincemeat
Arg2-of:	more than one forecast

Roleset make.02 Verbnet Class: NONE "cause (to be)":

Roles:

Arg0:impeller to action

Arg1:impelled agent

Arg2:impelled action

Examples:

verbal predicate (-)
`Mary made John clean his room`
Arg0:	Mary
REL:	made
Arg1:	John
Arg2:	clean his room

nominal predicate (-)
Financial problems make them unattractive takeover targets.

Arg0: Financial problems

REL: make

Arg1: them

Arg2: unattractive takeover targets

nominal predicate (-)
`Financial problems make them unattractive takeover targets.`
Arg0:	Financial problems
REL:	make
Arg1:	them
Arg2:	unattractive takeover targets

adjectival predicate (-)
Asian nations' memories make them fearful of Japanese economic hegemony.

Arg0: Asian nations' memories

REL: make

Arg1: them

Arg2: fearful of Japanese economic hegemony

adjectival predicate (-)
`Asian nations' memories make them fearful of Japanese economic hegemony.`
Arg0:	Asian nations' memories
REL:	make
Arg1:	them
Arg2:	fearful of Japanese economic hegemony

with tough-movement (-)
SC Law makes it a crime to breach test security.

Arg0: SC Law

REL: makes

Arg2: a crime

Arg1: to breach test security

with tough-movement (-)
`SC Law makes it a crime to breach test security.`
Arg0:	SC Law
REL:	makes
Arg2:	a crime
Arg1:	to breach test security

Note that the sentence above is technically:
underlying structure of tough-movement (-)
SC Law makes to breach test security a crime.

Arg0: SC Law

REL: makes

Arg1: to breach test security

Arg2: a crime

underlying structure of tough-movement (-)
`SC Law makes to breach test security a crime.`
Arg0:	SC Law
REL:	makes
Arg1:	to breach test security
Arg2:	a crime

person: ns tense: past aspect: ns voice: active form: full
missing attribute (-)

``It made our New Year,'' says Mr. Quinlan.

Arg0: It

REL: made

Arg1: our New Year

missing attribute (-)
``It made our New Year,'' says Mr. Quinlan.
Arg0:	It
REL:	made
Arg1:	our New Year

person: third tense: present aspect: perfect voice: active form: participle
specialized cause to be (-)

For Zel Herring, owner and a cook at the Sandhills Luncheon Cafe, a tin building in midtown, all this has made for a very good year.

ArgM-ADV: For Zel Herring, owner and a cook at the Sandhills Luncheon Cafe, a tin building in midtown

Arg0: all this

REL: made

Arg1-for: a very good year

specialized cause to be (-)
`For Zel Herring, owner and a cook at the Sandhills Luncheon Cafe, a tin building in midtown, all this has made for a very good year.`
ArgM-ADV:	For Zel Herring, owner and a cook at the Sandhills Luncheon Cafe, a tin building in midtown
Arg0:	all this
REL:	made
Arg1-for:	a very good year

person: ns tense: ns aspect: ns voice: ns form: infinitive
make good on (-)

And that means 42-year-old Michael Carpenter, president and chief executive since January, will for the first time take complete control of Kidder and try [*-1] to make good on some grandiose plans.

Arg0: [*-1] -> 42-year-old Michael Carpenter , president and chief executive since January ,

REL: make

Arg2: good

Arg1: on some grandiose plans

make good on (-)
`And that means 42-year-old Michael Carpenter, president and chief executive since January, will for the first time take complete control of Kidder and try [*-1] to make good on some grandiose plans.`
Arg0:	[*-1] -> 42-year-old Michael Carpenter , president and chief executive since January ,
REL:	make
Arg2:	good
Arg1:	on some grandiose plans

Roleset make.03 Verbnet Class: NONE "bid or purchase or whatever":

Roles:

Arg0:maker

Arg1:bid or purchase or whatever

Arg2:benefactive

Examples:

sorta light-verbish (-)
`NE Edison made a bid`
Arg0:	NE Edison
REL:	made
Arg1:	a bid

with benefactive (-)
Edison made refunds to its customers.

Arg0: Edison

REL: made

Arg1: refunds

Arg2-to: its customers

with benefactive (-)
`Edison made refunds to its customers.`
Arg0:	Edison
REL:	made
Arg1:	refunds
Arg2-to:	its customers

with purpose (-)
Fujitsu made a similar bid to win a contract.

Arg0: Fujitsu

REL: made

Arg1: a similar bid

ArgM-PNC: to win a contract

with purpose (-)
`Fujitsu made a similar bid to win a contract.`
Arg0:	Fujitsu
REL:	made
Arg1:	a similar bid
ArgM-PNC:	to win a contract

Roleset make.04 Verbnet Class: NONE "true light verb":

Roles:

Arg0:agentive subject

Arg1:true predicate

Arg2:object of true predicate

Arg3:additional args of true predicate

Examples:

token light verb example (-)
`The companies made sure they understood the concern about such practices.`
Arg0:	The companies
REL:	made
Arg1:	sure
Arg2:	they understood the concern about such practices

person: ns tense: future aspect: ns voice: active form: full
some light verbs have more args (-)

The department will make payment for bills maturing on Nov. 2 to all investors who have requested reinvestment of their bills on that date, as well as to all account holders who have previously requested payment.

Arg0: The department

ArgM-MOD: will

REL: make

Arg1: payment for bills maturing on Nov. 2

Arg2: to all investors who [*T*-1] have requested reinvestment of their bills on that date , as well as to all account holders who [*T*-2] have previously requested payment

some light verbs have more args (-)
`The department will make payment for bills maturing on Nov. 2 to all investors who have requested reinvestment of their bills on that date, as well as to all account holders who have previously requested payment.`
Arg0:	The department
ArgM-MOD:	will
REL:	make
Arg1:	payment for bills maturing on Nov. 2
Arg2:	to all investors who [T-1] have requested reinvestment of their bills on that date , as well as to all account holders who [T-2] have previously requested payment

person: third tense: present aspect: ns voice: active form: full
endless idiomaticity (-)

Mr. Dave, its head, acts cheery and patient, but he makes no bones about the need to get to work.

Arg0: he

REL: makes

Arg1: no bones

Arg2: about the need to get to work

endless idiomaticity (-)
`Mr. Dave, its head, acts cheery and patient, but he makes no bones about the need to get to work.`
Arg0:	he
REL:	makes
Arg1:	no bones
Arg2:	about the need to get to work

Roleset make.05 Verbnet Class: NONE "earn cash or wages":

Roles:

Arg0:earner

Arg1:wages

Arg2:job

Examples:

make a quick buck (-)
`If Bill Gates made a nickel every time Windows crashed...oh wait, he does.`
Arg0:	Bill Gates
REL:	made
Arg1:	a nickel
ArgM-TMP:	every time Windows crashed

job as for-phrase (-)
Judy Rodin makes way too much money for what she does.

Arg0: Judy Rodin

REL: makes

Arg1: way too much money

Arg2-for: what she does

job as for-phrase (-)
`Judy Rodin makes way too much money for what she does.`
Arg0:	Judy Rodin
REL:	makes
Arg1:	way too much money
Arg2-for:	what she does

job as as-phrase (-)
Judy Rodin makes way too much money as Penn's president.

Arg0: Judy Rodin

REL: makes

Arg1: way too much money

Arg2-as: Penn's president

job as as-phrase (-)
`Judy Rodin makes way too much money as Penn's president.`
Arg0:	Judy Rodin
REL:	makes
Arg1:	way too much money
Arg2-as:	Penn's president

Roleset make.06 Verbnet Class: NONE "be, seem":

Roles:

Arg1:thing

Arg2:attribute of arg1

Examples:

take that, eh? (-)
`Americans make better fishermen.`
Arg1:	Americans
REL:	make
Arg2:	better fishermen

Predicate make_up:

Roleset make.07 Verbnet Class: NONE "comprise":

Roles:

Arg0:components

Arg1:whole

Examples:

passivized (-)
`40% of the homeless population is made up of women and children.`
Arg1:	40% of the homeless population
REL:	is made up
Arg0-of:	women and children

corresponding active (-)
Women and children make up 40% of the homeless population

Arg0: Women and children

REL: make up

Arg1: 40% of the homeless population

corresponding active (-)
`Women and children make up 40% of the homeless population`
Arg0:	Women and children
REL:	make up
Arg1:	40% of the homeless population

Roleset make.08 Verbnet Class: NONE "compose, set into place":

Roles:

Arg0:composer

Arg1:thing composed

Arg2:final state of arg1, topic

Examples:

basic transitive (-)
`trace Make up your own mind on the issue.`
Arg0:	trace
REL:	Make up
Arg1:	your own mind
ArgM-LOC:	on the issue

person: ns tense: ns aspect: ns voice: ns form: ns
with topic (-)

Wilson made up his mind that he must receive at least $ 2,500 [*U*] , but when he mentioned this to the Deacons [*T*-1] they said nothing .

Arg0: Wilson

REL: [ made] [ up]

Arg1: his mind

Arg2: that he must receive at least $ 2,500 [*U*]

with topic (-)
`Wilson made up his mind that he must receive at least $ 2,500 [U] , but when he mentioned this to the Deacons [T-1] they said nothing .`
Arg0:	Wilson
REL:	[ made] [ up]
Arg1:	his mind
Arg2:	that he must receive at least $ 2,500 [U]

Roleset make.09 Verbnet Class: NONE "reconcile":

Roles:

Arg0:one person

Arg1:the other

Examples:

intransitive, compound subject (-)
`After fighting for a week, John and Mary finally kissed and made up.`
ArgM-TMP:	After fighting for a week
Arg0:	John and Mary
ArgM-TMP:	finally
REL:	made up

split actors (-)
John finally made up with Mary.

Arg0: John

ArgM: finally

REL: made up

Arg1-with: with Mary

split actors (-)
`John finally made up with Mary.`
Arg0:	John
ArgM:	finally
REL:	made up
Arg1-with:	with Mary

Roleset make.10 Verbnet Class: 1 "create":

Roles:

Arg0:creator

Arg1:creation

Arg2:created-from, thing changed

Arg3:benefactive

Examples:

transitive (-)
`John made up all the answers on his midterm.`
Arg0:	John
REL:	made up
Arg1:	all the answers
ArgM-LOC:	on his midterm

Roleset make.11 Verbnet Class: NONE "catch up":

Roles:

Arg1:entity which is behind in something (eg payments)

Arg2:the something

Examples:

bad student (-)
`John will have to make up the midterm at some later date.`
Arg1:	John
Argm-MOD:	will
REL:	make up
Arg2:	the midterm
Argm-TMP:	at some later date

Roleset make.16 Verbnet Class: NONE "compensate (for)":

Roles:

Arg0:compensator, agent

Arg1:shortcoming

Arg2:means of repairing shortcoming

Examples:

active

full

instrumental agent (-)
`Some Democrats, led by Rep. Jack Brooks (D., Texas), unsuccessfully opposed the measure because they fear that the fees may not fully make up for the budget cuts.`
Arg2:	the fees
Argm-MOD:	may
Argm-NEG:	not
Argm-EXT:	fully
REL:	make up
Arg1-for:	the budget cuts

Predicate make_out:

Roleset make.12 Verbnet Class: NONE "discern":

Roles:

Arg0:discerner, viewer, agent

Arg1:patient, thing discerned
(I haven't actually seen any of these in WSJ, but who knows?)

Examples:

typical usage? (-)
`I can't make out the handwriting on this letter.`
Arg0:	I
Arg8-MOD:	ca
ArgM-NEG:	n't
REL:	make out
Arg1:	the handwriting
ArgM-LOC:	on this letter

Predicate make_out:

Roleset make.13 Verbnet Class: NONE "write":

Roles:

Arg0:writer

Arg1:thing written

Arg2:written to

Examples:

imperative (-)
`Please make out the check to "AT & T"`
REL:	make out
Arg1:	the check
Arg2-TO:	to "AT & T"

Roleset make.15 Verbnet Class: NONE "proceed, meet with (success)":

Roles:

Arg1:topic

Examples:

future

active

full

getting by (-)
`At his new job, as partner in charge of federal litigation in the Sacramento office of Orrick, Herrington & Sutcliffe, he will make out much better.`
Argm-LOC:	At his new job, as partner in charge of federal litigation in the Sacramento office of Orrick, Herrington & Sutcliffe
Arg1:	he
Argm-MOD:	will
REL:	make out
Argm-MNR:	much better

Predicate make_it:

Roleset make.14 Verbnet Class: NONE "achieve or arrive at":

Roles:

Arg0:traveller

Arg1:destination

Examples:

active

full

without destination (-)
`The governor couldn't make it, so the lieutenant governor welcomed the special guests.`
Arg0:	The governor
Argm-MOD:	could
Argm-NEG:	n't
REL:	make it

person: ns tense: ns aspect: ns voice: active form: infinitive
with destination (-)

John couldn't be bothered *trace* to make it to his own funeral.

Arg0: *trace* -> John

REL: make it

Arg1-to: his own funeral

with destination (-)
`John couldn't be bothered trace to make it to his own funeral.`
Arg0:	trace -> John
REL:	make it
Arg1-to:	his own funeral

person: third tense: present aspect: progressive voice: active form: participle
if I can make it there, I'll make it anywhere (-)

Mike Huber, a roustabout, is even making it in his new career as an entrepreneur.

Arg0: Mike Huber , a roustabout ,

ArgM-ADV: even

REL: [making][it]

ArgM-LOC: in his new career as an entrepreneur

if I can make it there, I'll make it anywhere (-)
`Mike Huber, a roustabout, is even making it in his new career as an entrepreneur.`
Arg0:	Mike Huber , a roustabout ,
ArgM-ADV:	even
REL:	[making][it]
ArgM-LOC:	in his new career as an entrepreneur

Predicate make_off:

Roleset make.17 Verbnet Class: NONE "escape (with)":

Roles:

Arg0:escaper

Arg1:luggage

Examples:

past

active

full

bank robbers (-)
`When he initially refused, he says, they stabbed him in the back and made off with $2,000 and 280 blank tickets.`
ArgM-TMP:	When he initially refused
Arg0:	they
REL:	[ made] [ off]
Arg1-with:	$2,000 and 280 blank tickets