Exam question 2 · Algorithms, bubbles and false balance

Identify the term for the presentation of two positions as equally supported where the evidence is predominantly on one side.

Mova's choice: option 4 · The right answer: option 4 · right ✓ · Who acts: you, evidence · What happens: identify, support, be, present · To what, where: term, two positions, one side

This is exam question 2 of lesson 34 «Algorithms, bubbles and false balance» of the politics 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.

The question

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Identify	identify	VERB	Mood=Imp VerbForm=Fin	root	root
2	the	the	DET	Definite=Def PronType=Art	3 term	det
3	term	term	NOUN	Number=Sing	1 Identify	obj
4	for	for	ADP	_	6 presentation	case
5	the	the	DET	Definite=Def PronType=Art	6 presentation	det
6	presentation	presentation	NOUN	Number=Sing	1 Identify	obl
7	of	of	ADP	_	9 positions	case
8	two	two	NUM	NumForm=Word NumType=Card	9 positions	nummod
9	positions	position	NOUN	Number=Plur	6 presentation	nmod
10	as	as	ADV	_	12 supported	advmod
11	equally	equally	ADV	_	12 supported	advmod
12	supported	support	VERB	Tense=Past VerbForm=Part Voice=Pass	9 positions	acl
13	where	where	ADV	PronType=Rel	20 side	advmod
14	the	the	DET	Definite=Def PronType=Art	15 evidence	det
15	evidence	evidence	NOUN	Number=Sing	20 side	nsubj
16	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	20 side	cop
17	predominantly	predominantly	ADV	_	20 side	advmod
18	on	on	ADP	_	20 side	case
19	one	one	NUM	NumForm=Word NumType=Card	20 side	nummod
20	side	side	NOUN	Number=Sing	12 supported	obl
21	.	.	PUNCT	_	1 Identify	punct

#	verb	tense, mood	who	what, whom	where	other	roles by
1	identify	imperative	you not said here	the term		for the presentation of two positions	vn characterize-29.2-1-1 «NP V NP S_ING»: agent=Agent term=Theme
2	support	participle		two positions not said here		equally property	vn admire-31.2 «NP V that S»: agent=Experiencer
3	is	present	the evidence		one side	predominantly property	tree rules
4	present			two positions			nom presentation «act transitive»: of=patient

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.

The options

Option 1

Satire

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Satire	satire	NOUN	Number=Sing	root	root

The frames reader finds no event or fact in this sentence.

Option 2

A correction

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	2 correction	det
2	correction	correction	NOUN	Number=Sing	root	root

The frames reader finds no event or fact in this sentence.

Option 3

Astroturfing

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Astroturfing	Astroturfing	PROPN	Number=Sing	root	root

The frames reader finds no event or fact in this sentence.

Option 4 · ← Mova's choice · ✓ the right answer

False balance

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	False	false	ADJ	Degree=Pos	2 balance	amod
2	balance	balance	NOUN	Number=Sing	root	root

The frames reader finds no event or fact in this sentence.

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.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/questions/politics/34-algorithms-bubbles-and-false-balance/e2/