---
title: On matters of taste, like cats versus dogs, there is no single right… — Why the bot agrees too easily · tree and pragmatics
description: On matters of taste, like cats versus dogs, there is no single right answer, so bots usually avoid taking sides. Who acts: single right answer, bots, taste. A sentence of the lesson «Why the bot agrees too easily» of the ai course of Mova's primary school with its dependency tree and the pragmatics 
---

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# Why the bot agrees too easily, sentence 17

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On matters of taste, like cats versus dogs, there is no single right answer, so bots usually avoid taking sides.

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**Who acts:** single right answer, bots, taste · **What happens:** be, avoid, take, matter · **To what, where:** matters, sides

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This is a sentence of the lesson «Why the bot agrees too easily» 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 (single right answer, bots, taste), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:006-why-the-bot-agrees-too-easily.lesson:17
# text = On matters of taste, like cats versus dogs, there is no single right answer, so bots usually avoid taking sides.
# source = school lesson (ours)
# course = ai
# lesson = 006-why-the-bot-agrees-too-easily.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R7-rel-agree ×1
1	On	on	ADP	IN	_	2	case	_	_
2	matters	matter	NOUN	NNS	Number=Plur	12	obl	_	_
3	of	of	ADP	IN	_	4	case	_	_
4	taste	taste	NOUN	NN	Number=Sing	2	nmod	_	_
5	,	,	PUNCT	,	_	7	punct	_	_
6	like	like	ADP	IN	_	7	case	_	_
7	cats	cat	NOUN	NNS	Number=Plur	2	nmod	_	_
8	versus	versus	ADP	IN	_	9	case	_	_
9	dogs	dog	NOUN	NNS	Number=Plur	7	nmod	_	_
10	,	,	PUNCT	,	_	2	punct	_	_
11	there	there	PRON	EX	PronType=Dem	12	expl	_	_
12	is	be	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
13	no	no	DET	DT	PronType=Neg	16	det	_	_
14	single	single	ADJ	JJ	Degree=Pos	16	amod	_	_
15	right	right	ADJ	JJ	Degree=Pos	16	amod	_	_
16	answer	answer	NOUN	NN	Number=Sing	12	nsubj	_	_
17	,	,	PUNCT	,	_	21	punct	_	_
18	so	so	ADV	RB	_	21	advmod	_	_
19	bots	bot	NOUN	NNS	Number=Plur	21	nsubj	_	_
20	usually	usually	ADV	RB	_	21	advmod	_	_
21	avoid	avoid	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	12	parataxis	_	Agree=R7-rel-agree|Haiku=12:advcl
22	taking	take	VERB	VBG	Tense=Pres|VerbForm=Part	21	xcomp	_	_
23	sides	side	NOUN	NNS	Number=Plur	22	obj	_	_
24	.	.	PUNCT	.	_	12	punct	_	_
```

## Pragmatics {#pragmatics}

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

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| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **be** | present | no single right answer |  |  | matters of taste like cats versus dogs; there |  |  | vn exist-47.1 «NP V PP.location»: agent=Theme on matter=Location |
| 2 | **avoid** | present | bots |  |  |  |  | usually *property* | vn avoid-52 «NP V S\_ING»: agent=Agent clause=Theme |
| 3 | **take** | gerund | bots *not said here* | sides |  |  |  |  | vn bring-11.3 «NP V NP»: agent=Agent side=Theme |
| 4 | **matter** |  | taste |  |  |  |  | like cats versus dogs | nom matter «cognition intransitive»: of=agent like=obl |

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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.

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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/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:006-why-the-bot-agrees-too-easily.lesson:17`.

**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): 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](https://md.mova.elamur.ai/free/en/releases/0.4/).

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- ← previous: [Why the bot agrees too easily, 16](https://md.mova.elamur.ai/free/en/corpora/school/ai/6-why-the-bot-agrees-too-easily/16/)
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