--- title: Which sentence about these stories is said in the careful news way? — In the news: invented court cases and… · tree and pragmatics description: Which sentence about these stories is said in the careful news way? Test 6 · ★ of lesson 20 «In the news: invented court cases and an airline's chatbot» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was wrong. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/ai/20-news-court-cases-airline/t6/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [AI](https://md.mova.elamur.ai/free/en/corpora/questions/ai/) / [In the news: invented court cases and…](https://md.mova.elamur.ai/free/en/corpora/questions/ai/20-news-court-cases-airline/) / t6 # Test 6 · ★ · In the news: invented court cases and an airline's chatbot Which sentence about these stories is said in the careful news way? **Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **What happens:** say · **To what, where:** sentence, careful news way · **Speech:** someone speaks here This is test 6 · ★ of lesson 20 «In the news: invented court cases and an airline's chatbot» of the AI course of Mova's primary school. 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](https://md.mova.elamur.ai/free/en/school-run/ai/20-news-court-cases-airline/#t6). ## The question {#question} ```conllu # sent_id = question:ai:20-news-court-cases-airline:t6:1 # text = Which sentence about these stories is said in the careful news way? 1 Which which DET WDT PronType=Int 2 det _ _ 2 sentence sentence NOUN NN Number=Sing 7 nsubj:pass _ _ 3 about about ADP IN _ 5 case _ _ 4 these this DET DT Number=Plur|PronType=Dem 5 det _ _ 5 stories story NOUN NNS Number=Plur 2 nmod _ _ 6 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 7 aux:pass _ _ 7 said say VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 8 in in ADP IN _ 12 case _ _ 9 the the DET DT Definite=Def|PronType=Art 12 det _ _ 10 careful careful ADJ JJ Degree=Pos 12 amod _ _ 11 news news NOUN NN Number=Sing 12 compound _ _ 12 way way NOUN NN Number=Sing 7 obl _ SpaceAfter=No 13 ? ? PUNCT . _ 7 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | present · passive | | which sentence about this stories | | the careful news way | | | vn pronounce-29.3.1 «NP V NP PP.manner»: subject=Theme in way=Manner | 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 {#options} ### Option 1 · ← Mova's choice {#o1} A chatbot definitely tricked every lawyer in America ```conllu # sent_id = question:ai:20-news-court-cases-airline:t6:o1:1 # text = A chatbot definitely tricked every lawyer in America 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 chatbot chatbot NOUN NN Number=Sing 4 nsubj _ _ 3 definitely definitely ADV RB _ 4 advmod _ _ 4 tricked trick VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 5 every every DET DT PronType=Tot 6 det _ _ 6 lawyer lawyer NOUN NN Number=Sing 4 obj _ _ 7 in in ADP IN _ 8 case _ _ 8 America America PROPN NNP Number=Sing 4 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **trick** | past | a chatbot | every lawyer | | America | | definitely *property* | vn trick-59.2 «NP V NP»: agent=Agent lawyer=Patient | ### Option 2 {#o2} My cousin says chatbots ruin courts ```conllu # sent_id = question:ai:20-news-court-cases-airline:t6:o2:1 # text = My cousin says chatbots ruin courts 1 My my PRON PRP$ Case=Gen|Number=Sing|Person=1|Poss=Yes|PronType=Prs 2 nmod:poss _ _ 2 cousin cousin NOUN NN Number=Sing 3 nsubj _ _ 3 says say VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 chatbots chatbot NOUN NNS Number=Plur 5 nsubj _ _ 5 ruin ruin VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 3 ccomp _ _ 6 courts court NOUN NNS Number=Plur 5 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | present | My cousin | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic | | 2 | **ruin** | present | chatbots | courts | | | | | vn destroy-44 «NP V NP»: agent=Agent court=Patient | ### Option 3 {#o3} Chatbots always invent cases for lawyers ```conllu # sent_id = question:ai:20-news-court-cases-airline:t6:o3:1 # text = Chatbots always invent cases for lawyers 1 Chatbots chatbot NOUN NNS Number=Plur 3 nsubj _ _ 2 always always ADV RB PronType=Tot 3 advmod _ _ 3 invent invent VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 cases case NOUN NNS Number=Plur 3 obj _ _ 5 for for ADP IN _ 6 case _ _ 6 lawyers lawyer NOUN NNS Number=Plur 3 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **invent** | present | Chatbots | cases | | | | for lawyers; always *property* | vn create-26.4-1 «NP V NP PP.beneficiary»: agent=Agent case=Result for lawyer=Beneficiary | ### Option 4 · ✓ the right answer {#o4} It was reported that a chatbot invented court cases ```conllu # sent_id = question:ai:20-news-court-cases-airline:t6:o4:1 # text = It was reported that a chatbot invented court cases 1 It it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 3 nsubj:pass _ _ 2 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 aux:pass _ _ 3 reported report VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 4 that that SCONJ IN _ 9 mark _ _ 5 a a DET DT Definite=Ind|PronType=Art 6 det _ _ 6 chatbot chatbot NOUN NN Number=Sing 8 compound _ _ 7 invented invent VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 6 acl _ _ 8 court court NOUN NN Number=Sing 9 compound _ _ 9 cases case NOUN NNS Number=Plur 3 xcomp _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **report** | past · passive | | It | | | | | vn prosecute-33.2 «NP V NP»: subject=Patient | | 2 | **invent** | participle | | a chatbot *not said here* | | | | | vn create-26.4-1 «NP V»: agent=Agent | **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. - ← previous: [In the news: invented court cases and…, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/ai/20-news-court-cases-airline/t5/) - next →: [In the news: invented court cases and…, test 7](https://md.mova.elamur.ai/free/en/corpora/questions/ai/20-news-court-cases-airline/t7/) - ↑ back to [In the news: invented court cases and an airline's chatbot](https://md.mova.elamur.ai/free/en/corpora/questions/ai/20-news-court-cases-airline/)