Exam question 1 · Stories, jokes and riddles with a chatbot
Which of the following statements most accurately characterises the term "hallucination" as applied to a chatbot?
Mova's choice: option 2 · The right answer: option 4 · wrong ✗ · What happens: follow, characteris, apply · To what, where: term
This is exam question 1 of lesson 4 «Stories, jokes and riddles with a chatbot» 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
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Which | which | PRON | PronType=Rel | 8 characterises | nsubj |
| 2 | of | of | ADP | _ | 5 statements | case |
| 3 | the | the | DET | Definite=Def PronType=Art | 5 statements | det |
| 4 | following | follow | VERB | VerbForm=Ger | 5 statements | amod |
| 5 | statements | statement | NOUN | Number=Plur | 8 characterises | obl |
| 6 | most | most | ADV | Degree=Sup | 7 accurately | advmod |
| 7 | accurately | accurately | ADV | _ | 8 characterises | advmod |
| 8 | characterises | characteris | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | root | root |
| 9 | the | the | DET | Definite=Def PronType=Art | 10 term | det |
| 10 | term | term | NOUN | Number=Sing | 8 characterises | obj |
| 11 | " | " | PUNCT | _ | 12 hallucination | punct |
| 12 | hallucination | hallucination | NOUN | Number=Sing | 10 term | appos |
| 13 | " | " | PUNCT | _ | 12 hallucination | punct |
| 14 | as | as | SCONJ | _ | 15 applied | mark |
| 15 | applied | apply | VERB | Tense=Past VerbForm=Part Voice=Pass | 8 characterises | advcl |
| 16 | to | to | ADP | _ | 18 chatbot | case |
| 17 | a | a | DET | Definite=Ind PronType=Art | 18 chatbot | det |
| 18 | chatbot | chatbot | NOUN | Number=Sing | 15 applied | obl |
| 19 | ? | ? | PUNCT | _ | 8 characterises | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | follow | gerund | vn occur-48.3-1 «NP V»: agent=Theme | ||||||
| 2 | characteris | present | the term | of the following statements; accurately property | tree rules | ||||
| 3 | apply | participle | to a chatbot | vn use-105.1 «NP V NP»: 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.
The options
Option 1
The repetition of a joke previously heard by the user
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | The | the | DET | Definite=Def PronType=Art | 2 repetition | det |
| 2 | repetition | repetition | NOUN | Number=Sing | 7 heard | nsubj:pass |
| 3 | of | of | ADP | _ | 5 joke | case |
| 4 | a | a | DET | Definite=Ind PronType=Art | 5 joke | det |
| 5 | joke | joke | NOUN | Number=Sing | 2 repetition | nmod |
| 6 | previously | previously | ADV | _ | 7 heard | advmod |
| 7 | heard | hear | VERB | Tense=Past VerbForm=Part Voice=Pass | root | root |
| 8 | by | by | ADP | _ | 10 user | case |
| 9 | the | the | DET | Definite=Def PronType=Art | 10 user | det |
| 10 | user | user | NOUN | Number=Sing | 7 heard | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | hear | participle · passive | the user | the repetition of a joke | previously property | vn see-30.1-1-1 «NP V S»: agent=Experiencer subject=Stimulus | |||
| 2 | repeat | a joke | nom repetition «event intransitive»: of=agent |
Option 2 · ← Mova's choice
The perception of images by the chatbot during sleep
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | The | the | DET | Definite=Def PronType=Art | 2 perception | det |
| 2 | perception | perception | NOUN | Number=Sing | root | root |
| 3 | of | of | ADP | _ | 4 images | case |
| 4 | images | image | NOUN | Number=Plur | 2 perception | nmod |
| 5 | by | by | ADP | _ | 7 chatbot | case |
| 6 | the | the | DET | Definite=Def PronType=Art | 7 chatbot | det |
| 7 | chatbot | chatbot | NOUN | Number=Sing | 2 perception | nmod |
| 8 | during | during | ADP | _ | 9 sleep | case |
| 9 | sleep | sleep | NOUN | Number=Sing | 7 chatbot | nmod |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | perceive | the chatbot during sleep | images | nom perception «cognition transitive»: of=patient by=agent |
Option 3
The deliberate concealment of a correct answer
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | The | the | DET | Definite=Def PronType=Art | 3 concealment | det |
| 2 | deliberate | deliberate | ADJ | Degree=Pos | 3 concealment | amod |
| 3 | concealment | concealment | NOUN | Number=Sing | root | root |
| 4 | of | of | ADP | _ | 7 answer | case |
| 5 | a | a | DET | Definite=Ind PronType=Art | 7 answer | det |
| 6 | correct | correct | ADJ | Degree=Pos | 7 answer | amod |
| 7 | answer | answer | NOUN | Number=Sing | 3 concealment | nmod |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | conceal | a correct answer | nom concealment «state transitive»: of=patient |
Option 4 · ✓ the right answer
The confident production of an answer that is untrue
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | The | the | DET | Definite=Def PronType=Art | 3 production | det |
| 2 | confident | confident | ADJ | Degree=Pos | 3 production | amod |
| 3 | production | production | NOUN | Number=Sing | root | root |
| 4 | of | of | ADP | _ | 6 answer | case |
| 5 | an | a | DET | Definite=Ind PronType=Art | 6 answer | det |
| 6 | answer | answer | NOUN | Number=Sing | 3 production | nmod |
| 7 | that | that | PRON | PronType=Rel | 9 untrue | nsubj |
| 8 | is | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 9 untrue | cop |
| 9 | untrue | untrue | ADJ | Degree=Pos | 6 answer | acl:relcl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is | present | a answer | untrue property | tree rules | ||||
| 2 | produce | a answer | nom production «act transitive»: of=patient |
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/4-stories-jokes-and-riddles/e1/