Stories, jokes and riddles with a chatbot, sentence 1

Jokes and famous riddles come easily too, but they are often the oldest ones, like the scarecrow "outstanding in his field", because those appear most often in the text it learned from.

Who acts: Jokes, those, text · What happens: come, be, appear, learn · To what, where: oldest ones, text

This is a sentence of the lesson «Stories, jokes and riddles with a chatbot» 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 (Jokes, those, text), 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	Jokes	joke	NOUN	Number=Plur	5 come	nsubj
2	and	and	CCONJ	_	4 riddles	cc
3	famous	famous	ADJ	Degree=Pos	4 riddles	amod
4	riddles	riddle	NOUN	Number=Plur	1 Jokes	conj
5	come	come	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
6	easily	easily	ADV	_	5 come	advmod
7	too	too	ADV	_	5 come	advmod
8	,	,	PUNCT	_	15 ones	punct
9	but	but	CCONJ	_	15 ones	cc
10	they	they	PRON	Case=Nom Number=Plur Person=3 PronType=Prs	15 ones	nsubj
11	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	15 ones	cop
12	often	often	ADV	_	15 ones	advmod
13	the	the	DET	Definite=Def PronType=Art	15 ones	det
14	oldest	old	ADJ	Degree=Sup	15 ones	amod
15	ones	one	NOUN	Number=Plur	5 come	conj
16	,	,	PUNCT	_	19 scarecrow	punct
17	like	like	ADP	_	19 scarecrow	case
18	the	the	DET	Definite=Def PronType=Art	19 scarecrow	det
19	scarecrow	scarecrow	NOUN	Number=Sing	5 come	parataxis
20	"	"	PUNCT	_	21 outstanding	punct
21	outstanding	outstanding	ADJ	Degree=Pos	19 scarecrow	amod
22	in	in	ADP	_	24 field	case
23	his	his	PRON	Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs	24 field	nmod:poss
24	field	field	NOUN	Number=Sing	21 outstanding	obl
25	"	"	PUNCT	_	21 outstanding	punct
26	,	,	PUNCT	_	29 appear	punct
27	because	because	SCONJ	_	29 appear	mark
28	those	that	PRON	Number=Plur PronType=Dem	29 appear	nsubj
29	appear	appear	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	5 come	advcl
30	most	most	ADV	Degree=Sup	31 often	advmod
31	often	often	ADV	_	29 appear	advmod
32	in	in	ADP	_	34 text	case
33	the	the	DET	Definite=Def PronType=Art	34 text	det
34	text	text	NOUN	Number=Sing	29 appear	obl
35	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	36 learned	nsubj
36	learned	learn	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	34 text	acl:relcl
37	from	from	ADP	_	36 learned	obl
38	.	.	PUNCT	_	5 come	punct

Pragmatics

No stored speech act for this sentence.

#	verb	tense, mood	who	what, whom	where	other	roles by
1	come	present	Jokes and famous riddles			easily property	vn escape-51.1-1 «NP V»: agent=Theme
2	is a	present	Jokes = joke	the oldest ones		often property	tree rules
3	appear	present	those		the text	often property	vn appear-48.1.1 «NP V PP.location»: agent=Theme in text=Location
4	learn	past	text	the text not said here			vn learn-14-2-1 «NP V NP»: agent=Agent text=Topic

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:004-stories-jokes-and-riddles.lesson:1.

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. 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/4-stories-jokes-and-riddles/1/