--- title: It was reported that some writers and newspapers took AI companies t… — In the news: deepfakes, fake robocalls and histo… · tree and pragmatics description: It was reported that some writers and newspapers took AI companies to court over the use of their work, and courts are still deciding what is fair. Who acts: writers, courts. A sentence of the lesson «In the news: deepfakes, fake robocalls and history gone wrong» of the ai course of Mova's primary s --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/ai/21-news-deepfakes-history/14/) [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: deepfakes, fake robocalls…](https://md.mova.elamur.ai/free/en/corpora/school/ai/21-news-deepfakes-history/) / 14 # In the news: deepfakes, fake robocalls and history gone wrong, sentence 14 It was reported that some writers and newspapers took AI companies to court over the use of their work, and courts are still deciding what is fair. **Who acts:** writers, courts · **What happens:** report, take, decide, be, use, work · **To what, where:** work, AI companies, use · **Speech:** someone speaks here This is a sentence of the lesson «In the news: deepfakes, fake robocalls and history gone wrong» 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 (writers, courts), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:ai:021-news-deepfakes-history.lesson:14 # text = It was reported that some writers and newspapers took AI companies to court over the use of their work, and courts are still deciding what is fair. # source = school lesson (ours) # course = ai # lesson = 021-news-deepfakes-history.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): R1-cc-next ×2, R5-strong ×1, R7-rel-agree ×3 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 some some DET DT PronType=Ind 6 det _ _ 6 writers writer NOUN NNS Number=Plur 9 nsubj _ _ 7 and and CCONJ CC _ 8 cc _ Agree=R1-cc-next|Haiku=6:cc 8 newspapers newspaper NOUN NNS Number=Plur 6 conj _ _ 9 took take VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 ccomp _ _ 10 AI ai NOUN NN Number=Sing 11 compound _ Agree=R7-rel-agree|Haiku=11:amod|HaikuPos=ADJ:JJ:Degree=Pos 11 companies company NOUN NNS Number=Plur 9 obj _ _ 12 to to ADP IN _ 13 case _ Agree=R7-rel-agree|Haiku=13:mark|HaikuPos=PART:TO:_ 13 court court NOUN NN Number=Sing 9 obl _ Agree=R7-rel-agree|Haiku=9:advcl|HaikuPos=VERB:VB:VerbForm=Inf 14 over over ADP IN _ 16 case _ _ 15 the the DET DT Definite=Def|PronType=Art 16 det _ _ 16 use use NOUN NN Number=Sing 9 obl _ Agree=R5-strong|Haiku=13:obl 17 of of ADP IN _ 19 case _ _ 18 their their PRON PRP$ Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs 19 nmod:poss _ _ 19 work work NOUN NN Number=Sing 16 nmod _ _ 20 , , PUNCT , _ 25 punct _ _ 21 and and CCONJ CC _ 25 cc _ Agree=R1-cc-next|Haiku=9:cc 22 courts court NOUN NNS Number=Plur 25 nsubj _ _ 23 are be AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 25 aux _ _ 24 still still ADV RB _ 25 advmod _ _ 25 deciding decide VERB VBG Tense=Pres|VerbForm=Part 9 conj _ _ 26 what what PRON WP PronType=Int 28 nsubj _ _ 27 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 28 cop _ _ 28 fair fair ADJ JJ Degree=Pos 25 ccomp _ _ 29 . . 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 | **report** | past · passive | | work | | | | | vn characterize-29.2-1-2 «NP V NP to be ADJ»: subject=Theme clause=Attribute | | 2 | **take** | past | some writers and newspapers | AI companies | | the use of writers's work | | to court | vn bring-11.3 «NP V NP PP.destination»: agent=Agent company=Theme to court=Destination | | 3 | **decide** | present · progressive | courts | | | | still | | vn correspond-36.1-1 «NP V»: agent=Agent | | 4 | **is** | present | | | | | | fair *property* | tree rules | | 5 | **use** | | | writers's work | | | | | nom use «act transitive»: of=patient | | 6 | **work** | | writers *= writer* | | | | | | nom work «act intransitive»: 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:021-news-deepfakes-history.lesson:14`. **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): R1-cc-next ×2, R5-strong ×1, R7-rel-agree ×3. **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: deepfakes, fake robocalls…, 13](https://md.mova.elamur.ai/free/en/corpora/school/ai/21-news-deepfakes-history/13/) - next →: [In the news: deepfakes, fake robocalls…, 15](https://md.mova.elamur.ai/free/en/corpora/school/ai/21-news-deepfakes-history/15/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/21-news-deepfakes-history/)