---
title: In a cartoon, a detective solves a case without looking at the clues… — Retrieval: finding the answer in the t… · tree and pragmatics
description: In a cartoon, a detective solves a case without looking at the clues, from «a gut feeling». In a retrieval test, what works? Test 8 of lesson 17 «Retrieval: finding the answer in the text» of the English course of Mova's primary school, with the dependency tree and pragmatics of the question and of 
---

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# Test 8 · Retrieval: finding the answer in the text

<!-- .ven lang=en -->
In a cartoon, a detective solves a case without looking at the clues, from «a gut feeling». In a retrieval test, what works?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** detective, gut · **What happens:** solve, look, feel, work · **To what, where:** case, cartoon

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This is test 8 of lesson 17 «Retrieval: finding the answer in the text» of the English 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](https://md.mova.elamur.ai/free/en/school-run/english/17-retrieval-finding-the-answer-in-the-text/#t8).

## The question {#question}

<!-- .note -->
*Sentence 1:* In a cartoon, a detective solves a case without looking at the clues, from «a gut feeling».

```conllu
# sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:t8:1
# text = In a cartoon, a detective solves a case without looking at the clues, from «a gut feeling».
1	In	in	ADP	IN	_	3	case	_	_
2	a	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
3	cartoon	cartoon	NOUN	NN	Number=Sing	7	obl	_	SpaceAfter=No
4	,	,	PUNCT	,	_	3	punct	_	_
5	a	a	DET	DT	Definite=Ind|PronType=Art	6	det	_	_
6	detective	detective	NOUN	NN	Number=Sing	7	nsubj	_	_
7	solves	solve	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
9	case	case	NOUN	NN	Number=Sing	7	obj	_	_
10	without	without	SCONJ	IN	_	11	mark	_	_
11	looking	look	VERB	VBG	Tense=Pres|VerbForm=Part	7	advcl	_	_
12	at	at	ADP	IN	_	14	case	_	_
13	the	the	DET	DT	Definite=Def|PronType=Art	14	det	_	_
14	clues	clue	NOUN	NNS	Number=Plur	11	obl	_	SpaceAfter=No
15	,	,	PUNCT	,	_	20	punct	_	_
16	from	from	SCONJ	IN	_	20	mark	_	_
17	«	«	PUNCT	``	_	20	punct	_	SpaceAfter=No
18	a	a	DET	DT	Definite=Ind|PronType=Art	19	det	_	_
19	gut	gut	NOUN	NN	Number=Sing	20	nsubj	_	_
20	feeling	feel	VERB	VBG	Tense=Pres|VerbForm=Part	7	advcl	_	SpaceAfter=No
21	»	»	PUNCT	''	_	20	punct	_	SpaceAfter=No
22	.	.	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **solve** | present | a detective | a case |  | a cartoon |  |  | vn discover-84 «NP V NP»: agent=Agent case=Topic |
| 2 | **look** | gerund | a detective *not said here* |  |  |  |  | at the clues | vn peer-30.3 «NP V PP.theme»: agent=Agent at clue=Theme |
| 3 | **feel** *in a quote* | gerund | a gut |  |  |  |  |  | vn stimulus\_subject-30.4 «NP V PP.attribute»: agent=Stimulus |

<!-- .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:* In a retrieval test, what works?

```conllu
# sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:t8:2
# text = In a retrieval test, what works?
1	In	in	ADP	IN	_	4	case	_	_
2	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
3	retrieval	retrieval	NOUN	NN	Number=Sing	4	compound	_	_
4	test	test	NOUN	NN	Number=Sing	7	obl	_	SpaceAfter=No
5	,	,	PUNCT	,	_	7	punct	_	_
6	what	what	PRON	WP	PronType=Int	7	nsubj	_	_
7	works	work	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	SpaceAfter=No
8	?	?	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **work** | present |  |  |  |  |  | in a retrieval test | vn employment-95.3 «NP V PP.theme»: agent=Agent in test=Theme |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
Answering from what usually happens

```conllu
# sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:t8:o1:1
# text = Answering from what usually happens
1	Answering	answer	VERB	VBG	VerbForm=Ger	5	csubj	_	_
2	from	from	ADP	IN	_	3	case	_	_
3	what	what	PRON	WP	PronType=Rel	1	obl	_	_
4	usually	usually	ADV	RB	_	5	advmod	_	_
5	happens	happen	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **answer** *speech: assert* | gerund |  |  |  |  |  |  | vn reciprocate-112-1 «NP V»: agent=Agent |
| 2 | **happen** | present | Answering |  |  |  |  | usually *property* | vn occur-48.3-1 «NP V»: agent=Theme |

### Option 2 {#o2}

<!-- .ven lang=en -->
Writing the longest answer you can

```conllu
# sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:t8:o2:1
# text = Writing the longest answer you can
1	Writing	write	VERB	VBG	Tense=Pres|VerbForm=Part	0	root	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
3	longest	long	ADJ	JJS	Degree=Sup	4	amod	_	_
4	answer	answer	NOUN	NN	Number=Sing	1	obj	_	_
5	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	6	nsubj	_	_
6	can	can	AUX	MD	VerbForm=Fin	4	acl:relcl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **write** | gerund |  | the longest answer |  |  |  |  | vn scribble-25.2-1 «NP V NP»: agent=Agent answer=Theme |

### Option 3 {#o3}

<!-- .ven lang=en -->
Trusting a gut feeling over the words

```conllu
# sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:t8:o3:1
# text = Trusting a gut feeling over the words
1	Trusting	trust	VERB	VBG	Tense=Pres|VerbForm=Part	0	root	_	_
2	a	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
3	gut	gut	NOUN	NN	Number=Sing	1	obj	_	_
4	feeling	feel	VERB	VBG	Tense=Pres|VerbForm=Part	1	advcl	_	_
5	over	over	ADP	IN	_	7	case	_	_
6	the	the	DET	DT	Definite=Def|PronType=Art	7	det	_	_
7	words	word	NOUN	NNS	Number=Plur	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **trust** | gerund |  | a gut |  |  |  |  | vn conjecture-29.5-1 «NP V NP»: agent=Agent gut=Theme |
| 2 | **feel** | gerund |  |  |  | the words |  |  | vn hunt-35.1 «NP V PP.theme PP.location»: agent=Agent over word=Location |

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

<!-- .ven lang=en -->
Finding the exact words in the text

```conllu
# sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:t8:o4:1
# text = Finding the exact words in the text
1	Finding	find	VERB	VBG	Tense=Pres|VerbForm=Part	0	root	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
3	exact	exact	ADJ	JJ	Degree=Pos	4	amod	_	_
4	words	word	NOUN	NNS	Number=Plur	1	obj	_	_
5	in	in	ADP	IN	_	7	case	_	_
6	the	the	DET	DT	Definite=Def|PronType=Art	7	det	_	_
7	text	text	NOUN	NN	Number=Sing	1	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **find** | gerund |  | the exact words |  | the text |  |  | vn discover-84 «NP V NP»: agent=Agent word=Topic |

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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.

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