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Exam question 1 · In the news: jobs, art and copying, children's safety

Which of the following statements most accurately characterises the reported image of the Pope attired in a white padded coat?

Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · Who acts: reported image · What happens: follow, characteris, report, attire, image · To what, where: Pope

This is exam question 1 of lesson 22 «In the news: jobs, art and copying, children's safety» of the AI course of Mova's primary school, asked in stiff, formal language. 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.

The question

nsubjcasedetamodobladvmodadvmoddetamodnsubjcasedetnmodccompcasedetamodamodoblpunctrootWhichPRONofADPtheDETfollowingVERBstatementsNOUNmostADVaccuratelyADVcharacterisesVERBtheDETreportedVERBimageNOUNofADPtheDETPopePROPNattiredVERBinADPaDETwhiteADJpaddedADJcoatNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhichwhichPRONPronType=Rel8 characterisesnsubj
2ofofADP_5 statementscase
3thetheDETDefinite=Def PronType=Art5 statementsdet
4followingfollowVERBVerbForm=Ger5 statementsamod
5statementsstatementNOUNNumber=Plur8 characterisesobl
6mostmostADVDegree=Sup7 accuratelyadvmod
7accuratelyaccuratelyADV_8 characterisesadvmod
8characterisescharacterisVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
9thetheDETDefinite=Def PronType=Art11 imagedet
10reportedreportVERBTense=Past VerbForm=Part Voice=Pass11 imageamod
11imageimageNOUNNumber=Sing15 attirednsubj
12ofofADP_14 Popecase
13thetheDETDefinite=Def PronType=Art14 Popedet
14PopePopePROPNNumber=Sing11 imagenmod
15attiredattireVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin8 characterisesccomp
16ininADP_20 coatcase
17aaDETDefinite=Ind PronType=Art20 coatdet
18whitewhiteADJDegree=Pos20 coatamod
19paddedpaddedADJDegree=Pos20 coatamod
20coatcoatNOUNNumber=Sing15 attiredobl
21??PUNCT_8 characterisespunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1followgerundvn occur-48.3-1 «NP V»: agent=Theme
2characterispresentof the following statements; accurately propertytree rules
3reportparticiplevn characterize-29.2-1-2 «NP V NP»: agent=Agent
4attirepastthe reported image of the Popein a white padded coatvn dress-41.1.1-1-2 «Passive»: agent=Pivot in coat=Theme
5imagethe Popenom image «cognition transitive»: of=patient

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.

The options

Option 1 · ← Mova's choice

It was a painting of considerable antiquity

nsubjcopdetcaseamodnmodrootItPRONwasAUXaDETpaintingNOUNofADPconsiderableADJantiquityNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ItitPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs4 paintingnsubj
2wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin4 paintingcop
3aaDETDefinite=Ind PronType=Art4 paintingdet
4paintingpaintingNOUNNumber=Singrootroot
5ofofADP_7 antiquitycase
6considerableconsiderableADJDegree=Pos7 antiquityamod
7antiquityantiquityNOUNNumber=Sing4 paintingnmod
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is apastIta paintingof considerable antiquitytree rules

Option 2

It was immediately recognised as false by all viewers

nsubj:passaux:passadvmodcaseoblcasedetoblrootItPRONwasAUXimmediatelyADVrecognisedVERBasADPfalseADJbyADPallDETviewersNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ItitPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs4 recognisednsubj:pass
2wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin4 recognisedaux:pass
3immediatelyimmediatelyADV_4 recognisedadvmod
4recognisedrecogniseVERBTense=Past VerbForm=Part Voice=Passrootroot
5asasADP_6 falsecase
6falsefalseADJDegree=Pos4 recognisedobl
7bybyADP_9 viewerscase
8allallDETPronType=Tot9 viewersdet
9viewersviewerNOUNNumber=Plur4 recognisedobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1recognisepast · passiveall viewersItas false; immediately propertyvn comprehend-87.2-1 «NP V NP PP.attribute»: agent=Experiencer subject=Stimulus as false=Attribute

Option 3 · ✓ the right answer

It was produced by artificial intelligence and was widely believed to be genuine

nsubj:passaux:passcaseamodoblccaux:passadvmodconjmarkcopxcomprootItPRONwasAUXproducedVERBbyADPartificialADJintelligenceNOUNandCCONJwasAUXwidelyADVbelievedVERBtoPARTbeAUXgenuineADJ
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ItitPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs3 producednsubj:pass
2wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin3 producedaux:pass
3producedproduceVERBTense=Past VerbForm=Part Voice=Passrootroot
4bybyADP_6 intelligencecase
5artificialartificialADJDegree=Pos6 intelligenceamod
6intelligenceintelligenceNOUNNumber=Sing3 producedobl
7andandCCONJ_10 believedcc
8wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin10 believedaux:pass
9widelywidelyADV_10 believedadvmod
10believedbelieveVERBTense=Past VerbForm=Part Voice=Pass3 producedconj
11totoPART_13 genuinemark
12bebeAUXVerbForm=Inf13 genuinecop
13genuinegenuineADJDegree=Pos10 believedxcomp
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1producepast · passiveartificial intelligenceItvn create-26.4 «NP V NP»: agent=Agent subject=Result
2believepast · passiveartificial intelligence not said herewidely propertyvn admire-31.2 «NP V that S»
3isto-infinitiveartificial intelligence not said heregenuine propertytree rules

Option 4

It was a genuine photograph taken by a journalist at a public religious event

nsubjcopdetamodaclcasedetoblcasedetamodamodoblrootItPRONwasAUXaDETgenuineADJphotographNOUNtakenVERBbyADPaDETjournalistNOUNatADPaDETpublicADJreligiousADJeventNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ItitPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs5 photographnsubj
2wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin5 photographcop
3aaDETDefinite=Ind PronType=Art5 photographdet
4genuinegenuineADJDegree=Pos5 photographamod
5photographphotographNOUNNumber=Singrootroot
6takentakeVERBTense=Past VerbForm=Part Voice=Pass5 photographacl
7bybyADP_9 journalistcase
8aaDETDefinite=Ind PronType=Art9 journalistdet
9journalistjournalistNOUNNumber=Sing6 takenobl
10atatADP_14 eventcase
11aaDETDefinite=Ind PronType=Art14 eventdet
12publicpublicADJDegree=Pos14 eventamod
13religiousreligiousADJDegree=Pos14 eventamod
14eventeventNOUNNumber=Sing6 takenobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is apastIta genuine photographtree rules
2takeparticiplea genuine photograph not said herea public religious eventby a journalistvn get-13.5.1 «NP V NP PP.source NP.asset»: agent=Agent at event=Asset

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.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/questions/ai/22-news-jobs-art-safety/e1/