Olympiad: thinking like a machine, Bebras puzzles ★★★, sentence 8

In a famous test, scientists trained a picture sorter on wolf photos with snow behind them; it learned to look at the snow, not the animal, and called a husky on snow a wolf.

Who acts: scientists, sorter · What happens: train, learn, look, call · To what, where: picture sorter, famous test, husky, snow · Speech: someone speaks here

This is a sentence of the lesson «Olympiad: thinking like a machine, Bebras puzzles ★★★» of the ai course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (scientists, sorter), what happens, when and where, as Mova's frames read it from the tree.

The tree

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	In	in	ADP	_	4 test	case
2	a	a	DET	Definite=Ind PronType=Art	4 test	det
3	famous	famous	ADJ	Degree=Pos	4 test	amod
4	test	test	NOUN	Number=Sing	7 trained	obl
5	,	,	PUNCT	_	4 test	punct
6	scientists	scientist	NOUN	Number=Plur	7 trained	nsubj
7	trained	train	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	root	root
8	a	a	DET	Definite=Ind PronType=Art	10 sorter	det
9	picture	picture	NOUN	Number=Sing	10 sorter	compound
10	sorter	sorter	NOUN	Number=Sing	7 trained	obj
11	on	on	ADP	_	13 photos	case
12	wolf	wolf	NOUN	Number=Sing	13 photos	compound
13	photos	photo	NOUN	Number=Plur	7 trained	obl
14	with	with	ADP	_	15 snow	case
15	snow	snow	NOUN	Number=Sing	13 photos	nmod
16	behind	behind	ADP	_	17 them	case
17	them	they	PRON	Case=Acc Number=Plur Person=3 PronType=Prs	15 snow	nmod
18	;	;	PUNCT	_	20 learned	punct
19	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	20 learned	nsubj
20	learned	learn	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	7 trained	parataxis
21	to	to	PART	_	22 look	mark
22	look	look	VERB	VerbForm=Inf	20 learned	xcomp
23	at	at	ADP	_	25 snow	case
24	the	the	DET	Definite=Def PronType=Art	25 snow	det
25	snow	snow	NOUN	Number=Sing	22 look	obl
26	,	,	PUNCT	_	29 animal	punct
27	not	not	PART	Polarity=Neg	29 animal	advmod
28	the	the	DET	Definite=Def PronType=Art	29 animal	det
29	animal	animal	NOUN	Number=Sing	25 snow	conj
30	,	,	PUNCT	_	32 called	punct
31	and	and	CCONJ	_	32 called	cc
32	called	call	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	20 learned	conj
33	a	a	DET	Definite=Ind PronType=Art	34 husky	det
34	husky	husky	NOUN	Number=Sing	32 called	obj
35	on	on	ADP	_	36 snow	case
36	snow	snow	NOUN	Number=Sing	34 husky	nmod
37	a	a	DET	Definite=Ind PronType=Art	38 wolf	det
38	wolf	wolf	NOUN	Number=Sing	32 called	xcomp
39	.	.	PUNCT	_	7 trained	punct

Pragmatics

form: statement
act: narrate
voice: narrator
polarity: none
teacher: kept the draft

#	verb	tense, mood	who	what, whom	where	other	roles by
1	train	past	scientists	a picture sorter	a famous test	on wolf photos with snow behind photos	vn hire-13.5.3 «NP V NP»: agent=Agent sorter=Theme
2	learn	past	sorter				vn learn-14-2-1 «NP V that S»: agent=Agent clause=Topic
3	look	to-infinitive	sorter not said here			at the snow and the animal	vn peer-30.3 «NP V PP.theme»: agent=Agent at snow=Theme
4	call	past	sorter not said here	a husky	snow		vn initiate_communication-37.4.2-1 «NP V NP.recipient»: agent=Agent husky=Recipient

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.

Licence: CC BY-SA 4.0, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, mova-school-agreed-en.conllu) is part. The lessons were written for Mova's primary school. Sentence school:ai:031-olympiad-thinking-like-a-machine.lesson:8.

The tree: Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R7-rel-agree ×1. The frames are read from the tree by Mova's frames reader (prag) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the release 0.4.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/ai/31-olympiad-thinking-like-a-machine/8/