--- title: Which is the best example of a headline that overscares? — In the news: tricked bots, real discov… · tree and pragmatics description: Which is the best example of a headline that overscares? Test 10 · ★★ of lesson 23 «In the news: tricked bots, real discoveries, careful words» 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/23-news-tricked-bots-discoveries/t10/) [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: tricked bots, real discov…](https://md.mova.elamur.ai/free/en/corpora/questions/ai/23-news-tricked-bots-discoveries/) / t10 # Test 10 · ★★ · In the news: tricked bots, real discoveries, careful words Which is the best example of a headline that overscares? **Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** that · **What happens:** be, overscare · **To what, where:** best example This is test 10 · ★★ of lesson 23 «In the news: tricked bots, real discoveries, careful words» 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/23-news-tricked-bots-discoveries/#t10). ## The question {#question} ```conllu # sent_id = question:ai:23-news-tricked-bots-discoveries:t10:1 # text = Which is the best example of a headline that overscares? 1 Which which PRON WDT PronType=Rel 5 nsubj _ _ 2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 5 cop _ _ 3 the the DET DT Definite=Def|PronType=Art 5 det _ _ 4 best good ADJ JJS Degree=Sup 5 amod _ _ 5 example example NOUN NN Number=Sing 0 root _ _ 6 of of ADP IN _ 8 case _ _ 7 a a DET DT Definite=Ind|PronType=Art 8 det _ _ 8 headline headline NOUN NN Number=Sing 5 nmod _ _ 9 that that PRON WDT PronType=Rel 10 nsubj _ _ 10 overscares overscare NOUN NNS Number=Plur 8 conj _ SpaceAfter=No 11 ? ? PUNCT . _ 5 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is a** | present | | the best example | | | | of a headline and overscares | tree rules | | 2 | **overscare** | | that | | | | | | tree rules | 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} "It was reported that AI helped find antibiotics" ```conllu # sent_id = question:ai:23-news-tricked-bots-discoveries:t10:o1:1 # text = "It was reported that AI helped find antibiotics" 1 " " PUNCT `` _ 4 punct _ SpaceAfter=No 2 It it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 4 nsubj:pass _ _ 3 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 4 aux:pass _ _ 4 reported report VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 5 that that SCONJ IN _ 7 mark _ _ 6 AI ai NOUN NN Number=Sing 7 nsubj _ _ 7 helped help VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 4 ccomp _ _ 8 find find VERB VB VerbForm=Inf 7 xcomp _ _ 9 antibiotics antibiotic NOUN NNS Number=Plur 8 obj _ SpaceAfter=No 10 " " PUNCT '' _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **report** *in a quote* | past · passive | | It | | | | | vn characterize-29.2-1-2 «NP V NP to be ADJ»: subject=Theme clause=Attribute | | 2 | **help** *in a quote* | past | AI | | | | | | vn help-72.1-1-1 «NP V NP S\_INF»: agent=Agent clause=Theme | | 3 | **find** *in a quote* | infinitive | AI *not said here* | antibiotics | | | | | vn discover-84 «NP V NP»: agent=Agent antibiotic=Topic | ### Option 2 · ✓ the right answer {#o2} "Robots will take over the world by Friday!" ```conllu # sent_id = question:ai:23-news-tricked-bots-discoveries:t10:o2:1 # text = "Robots will take over the world by Friday!" 1 " " PUNCT `` _ 4 punct _ SpaceAfter=No 2 Robots robot NOUN NNS Number=Plur 4 nsubj _ _ 3 will will AUX MD VerbForm=Fin 4 aux _ _ 4 take take VERB VB VerbForm=Inf 0 root _ _ 5 over over ADP RP _ 4 compound:prt _ _ 6 the the DET DT Definite=Def|PronType=Art 7 det _ _ 7 world world NOUN NN Number=Sing 4 obj _ _ 8 by by ADP IN _ 9 case _ _ 9 Friday Friday PROPN NNP Number=Sing 4 obl _ SpaceAfter=No 10 ! ! PUNCT . _ 4 punct _ SpaceAfter=No 11 " " PUNCT '' _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **take over** *in a quote* | future | Robots | the world | | | friday | | vn obtain-13.5.2 «NP V NP»: agent=Agent world=Theme | ### Option 3 {#o3} "Schools allow chatbots with new rules" ```conllu # sent_id = question:ai:23-news-tricked-bots-discoveries:t10:o3:1 # text = "Schools allow chatbots with new rules" 1 " " PUNCT `` _ 3 punct _ SpaceAfter=No 2 Schools school NOUN NNS Number=Plur 3 nsubj _ _ 3 allow allow VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 chatbots chatbot NOUN NNS Number=Plur 3 obj _ _ 5 with with ADP IN _ 7 case _ _ 6 new new ADJ JJ Degree=Pos 7 amod _ _ 7 rules rule NOUN NNS Number=Plur 3 obl _ SpaceAfter=No 8 " " PUNCT '' _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **allow** *in a quote* | present | Schools | chatbots | | | | with new rules | vn allow-64.1-1 «NP V NP»: agent=Agent chatbot=Beneficiary | ### Option 4 {#o4} "Study shows AI makes some mistakes" ```conllu # sent_id = question:ai:23-news-tricked-bots-discoveries:t10:o4:1 # text = "Study shows AI makes some mistakes" 1 " " PUNCT `` _ 3 punct _ SpaceAfter=No 2 Study study NOUN NN Number=Sing 3 nsubj _ _ 3 shows show VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 AI ai NOUN NN Number=Sing 5 nsubj _ _ 5 makes make VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 ccomp _ _ 6 some some DET DT PronType=Ind 7 det _ _ 7 mistakes mistake NOUN NNS Number=Plur 5 obj _ SpaceAfter=No 8 " " PUNCT '' _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **show** *in a quote* | present | Study | | | | | | vn transfer\_mesg-37.1.1-1-1 «NP V how S»: agent=Agent clause=Topic | | 2 | **make** *in a quote* | present | AI | some mistakes | | | | | vn build-26.1-1 «NP.asset V NP»: agent=Asset mistake=Product | **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: tricked bots, real discov…, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/ai/23-news-tricked-bots-discoveries/t9/) - next →: [In the news: tricked bots, real discov…, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/ai/23-news-tricked-bots-discoveries/e1/) - ↑ back to [In the news: tricked bots, real discoveries, careful words](https://md.mova.elamur.ai/free/en/corpora/questions/ai/23-news-tricked-bots-discoveries/)