---
title: It is given that the introduction of computers caused certain occupa… — In the news: deepfakes, fake robocalls… · tree and pragmatics
description: It is given that the introduction of computers caused certain occupations to decline. Identify the further development most consistent with the established facts. Exam question 2 of lesson 21 «In the news: deepfakes, fake robocalls and history gone wrong» of the AI course of Mova's primary school, w
---

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# Exam question 2 · In the news: deepfakes, fake robocalls and history gone wr…

<!-- .ven lang=en -->
It is given that the introduction of computers caused certain occupations to decline. Identify the further development most consistent with the established facts.

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** introduction, certain occupations, you · **What happens:** give, cause, decline, introduce, identify, establish · **To what, where:** It, certain occupations, computers, further development

<!-- .vabout -->
This is exam question 2 of lesson 21 «In the news: deepfakes, fake robocalls and history gone wrong» of the AI course of Mova's primary school, asked in stiff, formal language. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/ai/21-news-deepfakes-history/#e2).

## The question {#question}

<!-- .note -->
*Sentence 1:* It is given that the introduction of computers caused certain occupations to decline.

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e2:1
# text = It is given that the introduction of computers caused certain occupations to decline.
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	3	nsubj:pass	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	aux:pass	_	_
3	given	give	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
4	that	that	SCONJ	IN	_	9	mark	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	introduction	introduction	NOUN	NN	Number=Sing	9	nsubj	_	_
7	of	of	ADP	IN	_	8	case	_	_
8	computers	computer	NOUN	NNS	Number=Plur	6	nmod	_	_
9	caused	cause	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	3	advcl	_	_
10	certain	certain	ADJ	JJ	Degree=Pos	11	amod	_	_
11	occupations	occupation	NOUN	NNS	Number=Plur	9	obj	_	_
12	to	to	PART	TO	_	13	mark	_	_
13	decline	decline	VERB	VB	VerbForm=Inf	9	xcomp	_	SpaceAfter=No
14	.	.	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **give** | present · passive |  | It |  |  |  |  | vn give-13.1-1 «NP V NP»: subject=Theme |
| 2 | **cause** | past | the introduction of computers | certain occupations |  |  |  |  | tree rules |
| 3 | **decline** | to-infinitive | certain occupations *not said here* |  |  |  |  |  | vn calibratable\_cos-45.6.1-1 «NP.attribute V»: agent=Attribute |
| 4 | **introduce** |  |  | computers |  |  |  |  | nom introduction «act transitive»: of=patient |

<!-- .note -->
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

<!-- .note -->
*Sentence 2:* Identify the further development most consistent with the established facts.

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e2:2
# text = Identify the further development most consistent with the established facts.
1	Identify	identify	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
3	further	further	ADJ	JJ	Degree=Pos	4	amod	_	_
4	development	development	NOUN	NN	Number=Sing	1	obj	_	_
5	most	most	ADV	RBS	Degree=Sup	6	advmod	_	_
6	consistent	consistent	ADJ	JJ	Degree=Pos	4	amod	_	_
7	with	with	ADP	IN	_	10	case	_	_
8	the	the	DET	DT	Definite=Def|PronType=Art	10	det	_	_
9	established	establish	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	10	amod	_	_
10	facts	fact	NOUN	NNS	Number=Plur	6	obl	_	SpaceAfter=No
11	.	.	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **identify** | imperative | you *not said here* | the further development |  |  |  |  | vn characterize-29.2-1-1 «NP V NP S\_ING»: agent=Agent development=Theme |
| 2 | **establish** | participle |  |  |  |  |  |  | vn indicate-78-1-1 «NP V NP to be NP»: agent=Pivot |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
Machines thereafter performed all work unaided

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e2:o1:1
# text = Machines thereafter performed all work unaided
1	Machines	machine	NOUN	NNS	Number=Plur	3	nsubj	_	_
2	thereafter	thereafter	ADV	RB	_	3	advmod	_	_
3	performed	perform	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
4	all	all	DET	DT	PronType=Tot	5	advmod	_	_
5	work	work	VERB	VBP	Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin	3	ccomp	_	_
6	unaided	unaided	ADJ	JJ	Degree=Pos	5	xcomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **perform** | past | Machines |  |  |  |  | thereafter *property* | tree rules |
| 2 | **work** | present | Machines *not said here* |  |  |  |  | unaided *property* | vn employment-95.3 «NP V»: agent=Agent |

### Option 2 {#o2}

<!-- .ven lang=en -->
The former occupations were restored within a year

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e2:o2:1
# text = The former occupations were restored within a year
1	The	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
2	former	former	ADJ	JJ	Degree=Pos	3	amod	_	_
3	occupations	occupation	NOUN	NNS	Number=Plur	5	nsubj:pass	_	_
4	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	5	aux:pass	_	_
5	restored	restore	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
6	within	within	ADP	IN	_	8	case	_	_
7	a	a	DET	DT	Definite=Ind|PronType=Art	8	det	_	_
8	year	year	NOUN	NN	Number=Sing	5	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **restore** | past · passive |  | the former occupations |  |  | year |  | vn contribute-13.2 «NP V NP.theme (PP)»: subject=Theme |

### Option 3 {#o3}

<!-- .ven lang=en -->
All employment ceased permanently thereafter

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e2:o3:1
# text = All employment ceased permanently thereafter
1	All	all	DET	DT	PronType=Tot	2	det	_	_
2	employment	employment	NOUN	NN	Number=Sing	3	nsubj	_	_
3	ceased	cease	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
4	permanently	permanently	ADV	RB	_	3	advmod	_	_
5	thereafter	thereafter	ADV	RB	_	3	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **cease** | past | all employment |  |  |  |  | permanently, thereafter *property* | vn stop-55.4-1-1 «NP.eventuality V»: agent=Eventuality |

### Option 4 · ✓ the right answer {#o4}

<!-- .ven lang=en -->
New occupations, such as that of web designer, subsequently arose

```conllu
# sent_id = question:ai:21-news-deepfakes-history:e2:o4:1
# text = New occupations, such as that of web designer, subsequently arose
1	New	new	ADJ	JJ	Degree=Pos	2	amod	_	_
2	occupations	occupation	NOUN	NNS	Number=Plur	0	root	_	SpaceAfter=No
3	,	,	PUNCT	,	_	6	punct	_	_
4	such	such	ADJ	JJ	Degree=Pos|ExtPos=ADP	6	case	_	_
5	as	as	ADP	IN	_	4	fixed	_	_
6	that	that	PRON	DT	Number=Sing|PronType=Dem	2	conj	_	_
7	of	of	ADP	IN	_	9	case	_	_
8	web	web	NOUN	NN	Number=Sing	9	compound	_	_
9	designer	designer	NOUN	NN	Number=Sing	6	nmod	_	SpaceAfter=No
10	,	,	PUNCT	,	_	2	punct	_	_
11	subsequently	subsequently	ADV	RB	_	2	advmod	_	_
12	arose	arose	PUNCT	.	_	2	punct	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

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**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License.

<!-- /div -->

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- ← previous: [In the news: deepfakes, fake robocalls…, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/ai/21-news-deepfakes-history/e1/)
- next →: [In the news: deepfakes, fake robocalls…, exam 3](https://md.mova.elamur.ai/free/en/corpora/questions/ai/21-news-deepfakes-history/e3/)
- ↑ back to [In the news: deepfakes, fake robocalls and history gone wrong](https://md.mova.elamur.ai/free/en/corpora/questions/ai/21-news-deepfakes-history/)

