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Hallucinations: confident made-up answers, sentence 2

Many chatbots are trained to be helpful and pleasant, and sometimes that tips over into agreeing, praising and inventing.

Who acts: Many chatbots, that · What happens: train, be, tip over, agree, praise, invent · To what, where: Many chatbots

This is a sentence of the lesson «Hallucinations: confident made-up answers» 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 (Many chatbots, that), what happens, when and where, as Mova's frames read it from the tree.

The tree

amodnsubj:passaux:passmarkcopxcompccconjpunctccadvmodnsubjconjcompound:prtmarkadvclpunctconjccconjpunctrootManyADJchatbotsNOUNareAUXtrainedVERBtoPARTbeAUXhelpfulADJandCCONJpleasantADJ,PUNCTandCCONJsometimesADVthatPRONtipsVERBoverADVintoSCONJagreeingVERB,PUNCTpraisingVERBandCCONJinventingVERB.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ManymanyADJDegree=Pos2 chatbotsamod
2chatbotschatbotNOUNNumber=Plur4 trainednsubj:pass
3arebeAUXMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin4 trainedaux:pass
4trainedtrainVERBTense=Past VerbForm=Part Voice=Passrootroot
5totoPART_7 helpfulmark
6bebeAUXVerbForm=Inf7 helpfulcop
7helpfulhelpfulADJDegree=Pos4 trainedxcomp
8andandCCONJ_9 pleasantcc
9pleasantpleasantADJDegree=Pos7 helpfulconj
10,,PUNCT_14 tipspunct
11andandCCONJ_14 tipscc
12sometimessometimesADVPronType=Ind14 tipsadvmod
13thatthatPRONNumber=Sing PronType=Dem14 tipsnsubj
14tipstipVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin4 trainedconj
15overoverADV_14 tipscompound:prt
16intointoSCONJ_17 agreeingmark
17agreeingagreeVERBTense=Pres VerbForm=Part14 tipsadvcl
18,,PUNCT_19 praisingpunct
19praisingpraiseVERBTense=Pres VerbForm=Part17 agreeingconj
20andandCCONJ_21 inventingcc
21inventinginventVERBTense=Pres VerbForm=Part17 agreeingconj
22..PUNCT_4 trainedpunct

Pragmatics

form
statement
act
assert
voice
narrator
polarity
none
teacher
kept the draft
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1trainpresent · passiveMany chatbotsvn hire-13.5.3 «NP V NP»: subject=Theme
2isto-infinitiveMany chatbots not said herehelpful propertytree rules
3beMany chatbots not said heretree rules
4tip overpresentthatsometimes propertyvn throw-17.1-1-1 «NP V NP»: agent=Agent
5agree speech: agreegerundthat not said herevn correspond-36.1-1 «NP V»: agent=Agent
6praisegerundthat not said herevn judgment-33.1-1 «NP V NP»: agent=Agent
7inventgerundthat not said herevn create-26.4-1 «NP V»: agent=Agent

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:005-hallucinations-confident-made-up-answers.lesson:2.

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): R3-conj-first ×1, R6-punct-agree ×1, R7-rel-agree ×2. 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/5-hallucinations-confident-made-up-answers/2/