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home / corpora / school / AI / Using AI to learn, not to copy / 14

Using AI to learn, not to copy, sentence 14

AI detector tools are not always right and can wrongly accuse honest pupils.

Who acts: detector tools · What happens: not be, accuse · To what, where: honest pupils

This is a sentence of the lesson «Using AI to learn, not to copy» 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 (detector tools), what happens, when and where, as Mova's frames read it from the tree.

The tree

compoundcompoundnsubjcopadvmodadvmodccauxadvmodconjamodobjpunctrootAINOUNdetectorNOUNtoolsNOUNareAUXnotPARTalwaysADVrightADJandCCONJcanAUXwronglyADVaccuseVERBhonestADJpupilsNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AIaiNOUNNumber=Sing2 detectorcompound
2detectordetectorNOUNNumber=Sing3 toolscompound
3toolstoolNOUNNumber=Plur7 rightnsubj
4arebeAUXMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin7 rightcop
5notnotPARTPolarity=Neg7 rightadvmod
6alwaysalwaysADVPronType=Tot7 rightadvmod
7rightrightADJDegree=Posrootroot
8andandCCONJ_11 accusecc
9cancanAUXVerbForm=Fin11 accuseaux
10wronglywronglyADV_11 accuseadvmod
11accuseaccuseVERBVerbForm=Inf7 rightconj
12honesthonestADJDegree=Pos13 pupilsamod
13pupilspupilNOUNNumber=Plur11 accuseobj
14..PUNCT_7 rightpunct

Pragmatics

form
statement
act
evaluate
voice
narrator
polarity
neg
teacher
changed polarity=neg
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1not ispresentdetector toolsalways, right propertytree rules
2accusecandetector tools not said herehonest pupilswrongly propertyvn suspect-81 «NP V NP PP.attribute»: agent=Agent pupil=Theme

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:010-using-ai-to-learn-not-to-copy.lesson:14.

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/10-using-ai-to-learn-not-to-copy/14/