--- title: Other news showed the same lesson from other sides: a company had to… — In the news: invented court cases and an airline… · tree and pragmatics description: Other news showed the same lesson from other sides: a company had to stand behind its chatbot's wrong promise, fake pictures and fake voices hurt real people, and even a big company's picture maker got history wrong. Who acts: Other news, company, picture maker, chatbot. A sentence of the lesson «In --- [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/4/) [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/) / 4 # In the news: invented court cases and an airline's chatbot, sentence 4 Other news showed the same lesson from other sides: a company had to stand behind its chatbot's wrong promise, fake pictures and fake voices hurt real people, and even a big company's picture maker got history wrong. **Who acts:** Other news, company, picture maker, chatbot · **What happens:** show, have, stand, hurt, get, promise · **To what, where:** same lesson, other sides, wrong promise, real people, history 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 (Other news, company, picture maker, chatbot), 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:4 # text = Other news showed the same lesson from other sides: a company had to stand behind its chatbot's wrong promise, fake pictures and fake voices hurt real people, and even a big company's picture maker got history wrong. # 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): R5-strong ×2 1 Other other ADJ JJ Degree=Pos 2 amod _ _ 2 news news NOUN NN Number=Sing 3 nsubj _ _ 3 showed show VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 4 the the DET DT Definite=Def|PronType=Art 6 det _ _ 5 same same ADJ JJ Degree=Pos 6 amod _ _ 6 lesson lesson NOUN NN Number=Sing 3 obj _ _ 7 from from ADP IN _ 9 case _ _ 8 other other ADJ JJ Degree=Pos 9 amod _ _ 9 sides side NOUN NNS Number=Plur 3 obl _ Agree=R5-strong|Haiku=6:nmod 10 : : PUNCT : _ 13 punct _ _ 11 a a DET DT Definite=Ind|PronType=Art 12 det _ _ 12 company company NOUN NN Number=Sing 13 nsubj _ _ 13 had have VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 conj _ _ 14 to to PART TO _ 15 mark _ _ 15 stand stand VERB VB VerbForm=Inf 13 xcomp _ _ 16 behind behind ADP IN _ 21 case _ _ 17 its its PRON PRP$ Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs 18 nmod:poss _ _ 18 chatbot chatbot NOUN NN Number=Sing 21 nmod:poss _ _ 19 's 's PART POS _ 18 case _ _ 20 wrong wrong ADJ JJ Degree=Pos 21 amod _ _ 21 promise promise NOUN NN Number=Sing 15 obl _ _ 22 , , PUNCT , _ 24 punct _ _ 23 fake fake ADJ JJ Degree=Pos 24 amod _ _ 24 pictures picture NOUN NNS Number=Plur 21 appos _ _ 25 and and CCONJ CC _ 28 cc _ _ 26 fake fake ADJ JJ Degree=Pos 27 amod _ _ 27 voices voice NOUN NNS Number=Plur 24 conj _ Agree=R5-strong|Haiku=28:nsubj 28 hurt hurt VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 24 conj _ _ 29 real real ADJ JJ Degree=Pos 30 amod _ _ 30 people people NOUN NNS Number=Plur 28 obj _ _ 31 , , PUNCT , _ 40 punct _ _ 32 and and CCONJ CC _ 40 cc _ _ 33 even even ADV RB _ 36 advmod _ _ 34 a a DET DT Definite=Ind|PronType=Art 36 det _ _ 35 big big ADJ JJ Degree=Pos 36 amod _ _ 36 company company NOUN NN Number=Sing 39 nmod:poss _ _ 37 's 's PART POS _ 36 case _ _ 38 picture picture NOUN NN Number=Sing 39 compound _ _ 39 maker maker NOUN NN Number=Sing 40 nsubj _ _ 40 got get VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 conj _ _ 41 history history NOUN NN Number=Sing 40 obj _ _ 42 wrong wrong ADJ JJ Degree=Pos 40 xcomp _ _ 43 . . PUNCT . _ 3 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **show** | past | Other news | the same lesson | | other sides | | | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent lesson=Recipient | | 2 | **have** | past | a company | | | | | | tree rules | | 3 | **stand** | to-infinitive | a company *not said here* | | | news's chatbot's wrong promise | | | vn assuming\_position-50 «NP V PP.location»: agent=Agent behind promise=Location | | 4 | **hurt** | past | a company *not said here* | real people | | | | | vn hurt-40.8.3-2 «NP V NP»: agent=Experiencer people=Patient | | 5 | **get** | past | a big company's picture maker | history | | | | wrong *property* | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer history=Stimulus | | 6 | **promise** | | news's chatbot | | | | | | nom promise «communication transitive»: poss=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](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:4`. **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 ×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](https://md.mova.elamur.ai/free/en/releases/0.4/). - ← previous: [In the news: invented court cases and…, 3](https://md.mova.elamur.ai/free/en/corpora/school/ai/20-news-court-cases-airline/3/) - next →: [In the news: invented court cases and…, 5](https://md.mova.elamur.ai/free/en/corpora/school/ai/20-news-court-cases-airline/5/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/20-news-court-cases-airline/)