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Olympiad: thinking like a machine, Bebras puzzles ★★★, sentence 13

A spam filter can give points to warning words and flag a message when its points reach a set number.

Who acts: spam filter, points, filter · What happens: give, warn, flag, reach, point · To what, where: points, words, message, set number

This is a sentence of the lesson «Olympiad: thinking like a machine, Bebras puzzles ★★★» 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 (spam filter, points, filter), what happens, when and where, as Mova's frames read it from the tree.

The tree

detcompoundnsubjauxobjcaseoblobjccconjdetobjadvmodnmod:possnsubjadvcldetcompoundobjpunctrootADETspamNOUNfilterNOUNcanAUXgiveVERBpointsNOUNtoADPwarningVERBwordsNOUNandCCONJflagVERBaDETmessageNOUNwhenADVitsPRONpointsNOUNreachVERBaDETsetNOUNnumberNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art3 filterdet
2spamspamNOUNNumber=Sing3 filtercompound
3filterfilterNOUNNumber=Sing5 givensubj
4cancanAUXVerbForm=Fin5 giveaux
5givegiveVERBVerbForm=Infrootroot
6pointspointNOUNNumber=Plur5 giveobj
7totoADP_8 warningcase
8warningwarnVERBVerbForm=Ger5 giveobl
9wordswordNOUNNumber=Plur8 warningobj
10andandCCONJ_11 flagcc
11flagflagVERBVerbForm=Inf5 giveconj
12aaDETDefinite=Ind PronType=Art13 messagedet
13messagemessageNOUNNumber=Sing11 flagobj
14whenwhenADVPronType=Rel17 reachadvmod
15itsitsPRONCase=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs16 pointsnmod:poss
16pointspointNOUNNumber=Plur17 reachnsubj
17reachreachVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin11 flagadvcl
18aaDETDefinite=Ind PronType=Art20 numberdet
19setsetNOUNNumber=Sing20 numbercompound
20numbernumberNOUNNumber=Sing17 reachobj
21..PUNCT_5 givepunct

Pragmatics

No stored speech act for this sentence.

#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1givecana spam filterpointsvn give-13.1-1 «NP V NP»: agent=Agent point=Theme
2warn speech: warngerundwordsvn advise-37.9-1 «NP V NP.recipient»: agent=Agent word=Recipient
3flaginfinitivea spam filter not said herea messagetree rules
4reachpresentfilter's pointsa set numbervn body_motion-49.2-1-1 «NP V NP ADV»: agent=Agent number=Theme
5pointfilternom point «cognition 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, 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:031-olympiad-thinking-like-a-machine.lesson:13.

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 ×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.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/ai/31-olympiad-thinking-like-a-machine/13/