Test 4 · ★ · Asking well, being polite, knowing when to stop

A bot says "I got that wrong because I was tired." What should you think?

Mova's choice: option 2 · The right answer: option 2 · right ✓ · Who acts: bot, you · What happens: say, get, be, think · Speech: someone speaks here

This is test 4 · ★ of lesson 8 «Asking well, being polite, knowing when to stop» of the AI course of Mova's primary school. 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

Sentence 1: A bot says "I got that wrong because I was tired."

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	2 bot	det
2	bot	bot	NOUN	Number=Sing	3 says	nsubj
3	says	say	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
4	"	"	PUNCT	_	6 got	punct
5	I	I	PRON	Case=Nom Number=Sing Person=1 PronType=Prs	6 got	nsubj
6	got	get	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	3 says	ccomp
7	that	that	ADV	_	8 wrong	advmod
8	wrong	wrong	ADJ	Degree=Pos	6 got	xcomp
9	because	because	SCONJ	_	12 tired	mark
10	I	I	PRON	Case=Nom Number=Sing Person=1 PronType=Prs	12 tired	nsubj
11	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	12 tired	cop
12	tired	tired	ADJ	Degree=Pos	6 got	advcl
13	.	.	PUNCT	_	6 got	punct
14	"	"	PUNCT	_	6 got	punct

#	verb	tense, mood	who	other	roles by
1	say speech: assert	present	a bot		vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic
2	get in a quote	past	a bot = bot	wrong property	vn comprehend-87.2-1 «NP V S_ING»: agent=Experiencer
3	is in a quote	past	a bot = bot	tired property	tree rules

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.

Sentence 2: What should you think?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	4 think	obj
2	should	should	AUX	VerbForm=Fin	4 think	aux
3	you	you	PRON	Case=Nom Person=2 PronType=Prs	4 think	nsubj
4	think	think	VERB	VerbForm=Inf	root	root
5	?	?	PUNCT	_	4 think	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	think speech: other	should	you						vn wish-62 «NP V NP»: agent=Pivot what=Theme

The options

Option 1

It is telling the exact truth

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	It	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	3 telling	nsubj
2	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 telling	aux
3	telling	tell	VERB	Tense=Pres VerbForm=Part	root	root
4	the	the	DET	Definite=Def PronType=Art	6 truth	det
5	exact	exact	ADJ	Degree=Pos	6 truth	amod
6	truth	truth	NOUN	Number=Sing	3 telling	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	tell speech: assert	present · progressive	It	the exact truth					vn transfer_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent truth=Recipient

Option 2 · ← Mova's choice · ✓ the right answer

Bots don't get tired; its explanation may be made up

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Bots	bot	NOUN	Number=Plur	4 get	nsubj
2	do	do	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	4 get	aux
3	n't	not	PART	Polarity=Neg	4 get	advmod
4	get	get	VERB	VerbForm=Inf	root	root
5	tired	tired	ADJ	Degree=Pos	4 get	xcomp
6	;	;	PUNCT	_	11 made	punct
7	its	its	PRON	Case=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs	8 explanation	nmod:poss
8	explanation	explanation	NOUN	Number=Sing	11 made	nsubj:pass
9	may	may	AUX	VerbForm=Fin	11 made	aux
10	be	be	AUX	VerbForm=Inf	11 made	aux:pass
11	made	make	VERB	Tense=Past VerbForm=Part Voice=Pass	4 get	advcl
12	up	up	ADP	_	11 made	compound:prt

#	verb	tense, mood	who	what, whom	other	roles by
1	not get	present · do-support	Bots		tired property	vn comprehend-87.2-1 «NP V S_ING»: agent=Experiencer
2	make up	may · passive		its explanation		vn comprise-107.2-1 «NP V NP»: subject=Pivot
3	explain		its = it			nom explanation «communication intransitive»: poss=agent

Option 3

It needs a rest, so try again tomorrow when it's had a sleep

The tree, 14 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	It	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	2 needs	nsubj
2	needs	need	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
3	a	a	DET	Definite=Ind PronType=Art	4 rest	det
4	rest	rest	NOUN	Number=Sing	2 needs	obj
5	,	,	PUNCT	_	7 try	punct
6	so	so	ADV	_	7 try	advmod
7	try	try	VERB	Mood=Imp VerbForm=Fin	2 needs	parataxis
8	again	again	ADV	_	7 try	advmod
9	tomorrow	tomorrow	NOUN	Number=Sing	7 try	obl:unmarked
10	when	when	ADV	PronType=Int	13 had	advmod
11	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	13 had	nsubj
12	's	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	13 had	aux
13	had	have	VERB	Tense=Past VerbForm=Part	7 try	parataxis
14	a	a	DET	Definite=Ind PronType=Art	15 sleep	det
15	sleep	sleep	NOUN	Number=Sing	13 had	obj

#	verb	tense, mood	who	what, whom	when	roles by
1	need	present	It	a rest		vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot rest=Theme
2	try	infinitive			again; tomorrow	vn amuse-31.1 «NP V ADV-Middle»: agent=Experiencer
3	have	present · passive	rest	a sleep		vn birth-28.2-1 «NP V NP»: agent=Agent sleep=Patient

Option 4

Bots get tired after lunch

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Bots	bot	NOUN	Number=Plur	2 get	nsubj
2	get	get	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
3	tired	tired	ADJ	Degree=Pos	2 get	xcomp
4	after	after	ADP	_	5 lunch	case
5	lunch	lunch	NOUN	Number=Sing	2 get	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	get	present	Bots				after lunch	tired property	vn comprehend-87.2-1 «NP V S_ING»: agent=Experiencer

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/ai/8-asking-well-and-knowing-when-to-stop/t4/