--- title: Chatbots can produce made-up cases, books or quotes that sound real;… — In the news: invented court cases and an airline… · tree and pragmatics description: Chatbots can produce made-up cases, books or quotes that sound real; even experts must check them. Who acts: Chatbots, made cases, experts. A sentence of the lesson «In the news: invented court cases and an airline's chatbot» of the ai course of Mova's primary school with its dependency tree and the --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/ai/20-news-court-cases-airline/6/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [school](https://md.mova.elamur.ai/free/en/corpora/school/) / [AI](https://md.mova.elamur.ai/free/en/corpora/school/ai/) / [In the news: invented court cases and…](https://md.mova.elamur.ai/free/en/corpora/school/ai/20-news-court-cases-airline/) / 6 # In the news: invented court cases and an airline's chatbot, sentence 6 Chatbots can produce made-up cases, books or quotes that sound real; even experts must check them. **Who acts:** Chatbots, made cases, experts · **What happens:** produce, make up, sound, check · **To what, where:** made cases, cases This is a sentence of the lesson «In the news: invented court cases and an airline's 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 (Chatbots, made cases, experts), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:ai:020-news-court-cases-airline.lesson:6 # text = Chatbots can produce made-up cases, books or quotes that sound real; even experts must check them. # source = school lesson (ours) # course = ai # lesson = 020-news-court-cases-airline.lesson # annotation = 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, R4-particle ×1, R5-strong ×1 1 Chatbots chatbot NOUN NNS Number=Plur 3 nsubj _ _ 2 can can AUX MD VerbForm=Fin 3 aux _ _ 3 produce produce VERB VB VerbForm=Inf 0 root _ _ 4 made make VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 7 amod _ _ 5 - - PUNCT HYPH _ 6 punct _ _ 6 up up ADP RP _ 4 compound:prt _ Agree=R4-particle|Haiku=4:compound 7 cases case NOUN NNS Number=Plur 3 obj _ _ 8 , , PUNCT , _ 9 punct _ _ 9 books book NOUN NNS Number=Plur 7 conj _ _ 10 or or CCONJ CC _ 11 cc _ _ 11 quotes quote NOUN NNS Number=Plur 7 conj _ Agree=R3-conj-first|Haiku=9:conj 12 that that PRON WDT PronType=Rel 13 nsubj _ _ 13 sound sound VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 7 acl:relcl _ Agree=R5-strong|Haiku=11:acl:relcl 14 real real ADJ JJ Degree=Pos 13 xcomp _ _ 15 ; ; PUNCT , _ 19 punct _ _ 16 even even ADV RB _ 17 advmod _ _ 17 experts expert NOUN NNS Number=Plur 19 nsubj _ _ 18 must must AUX MD VerbForm=Fin 19 aux _ _ 19 check check VERB VB VerbForm=Inf 3 parataxis _ _ 20 them they PRON PRP Case=Acc|Number=Plur|Person=3|PronType=Prs 19 obj _ _ 21 . . PUNCT . _ 3 punct _ _ ``` ## Pragmatics {#pragmatics} - form: statement - act: assert - voice: narrator - polarity: none - teacher: kept the draft | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **produce** | can | Chatbots | made cases and books or quotes | | | | | vn create-26.4 «NP V NP»: agent=Agent case=Result | | 2 | **make up** | participle | | | | | | | vn comprise-107.2-1 «NP V NP»: agent=Theme | | 3 | **sound** | present | made cases and books or quotes | | | | | real *property* | vn stimulus\_subject-30.4 «NP V ADJ»: agent=Stimulus | | 4 | **check** | must | experts | cases *= case* | | | | | vn assessment-34.1 «NP V NP»: agent=Agent they=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](https://creativecommons.org/licenses/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:020-news-court-cases-airline.lesson:6`. **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, R4-particle ×1, 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](https://md.mova.elamur.ai/free/en/releases/0.4/). - ← previous: [In the news: invented court cases and…, 5](https://md.mova.elamur.ai/free/en/corpora/school/ai/20-news-court-cases-airline/5/) - next →: [In the news: invented court cases and…, 7](https://md.mova.elamur.ai/free/en/corpora/school/ai/20-news-court-cases-airline/7/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/20-news-court-cases-airline/)