quiz bu lëkkale ak tegtal · Diggante Niveau

Dindi lëkkaloo ci Texte Quiz

Saytu naka la relation extraction di soppi mbind mu nekk ay mbind yuñ jagleel, ak naka la ay pipeline ak ay pexem saytu mëna lajj.

Yooni njiit yu jëm ciDindi Relasioŋ ci Bind
Laaj 1 de 8

Lan mooy génnug sistemu génne relasioŋ?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. Lan mooy génnug sistemu génne relasioŋ?
    • Ñatti mbir yuñ defar ngir boole ñaari mbir ci benn relasioŋ
    • Garab parse grammaire ci santaane
    • Njortu yëg-yëg bu tàmbalee ci negatif dem ci positif
    • Tekki làkk wi ci beneen làkk
  2. In a common pipeline for relation extraction, what may identify entity mentions before pair classification?
    • Texte ci kàddu
    • Xamme entite bu am tur
    • Segmentasioŋ nataal
    • Audio source separation
  3. Why can distant supervision produce noisy relation-extraction labels?
    • Knowledge bases contain no structured facts
    • It requires every sentence to be hand-labeled
    • A sentence may mention two linked entities without stating their knowledge-base relation
    • It removes entity mentions before training
  4. Lan mooy xeetu RE yu bari yi lalu ci transformatër di wane ban entite lañu wara xaaj?
    • Soo njëkkee tekki frase bi
    • Soo efaasee benn ci entite yi
    • Soo soppi mbind mi ci audio
    • Soo dugal ay token màrker yu wër ñaari entite yi
  5. Lan moo wuutale 'ubbeeku' ci dindib relasioŋ ak RE buñ miin?
    • Dafay génne ay mbind yu am lëkkaloo ci biir mbind mi te du am benn xeetu lëkkaloo buñ tànn bu njëkk
    • Ci nimero rek lay dox
    • Dafay laaj done yu bari yuñ etikete yeneen xeeti xam-xam yi
    • Benn relasioŋ kese lay mëna gis ci këyit bu nekk
  6. Why include a no-relation label when classifying candidate entity pairs?
    • To translate the sentence into another language
    • To represent pairs for which the text does not assert a target relation
    • To replace named entity recognition
    • To guarantee that every pair has a relation
  7. What does document-level relation extraction allow a system to use?
    • Only the spelling of a single entity
    • Audio features from a spoken recording
    • Evidence that may be spread across multiple sentences
    • A fixed relation without reading text
  8. How does open relation extraction differ from a closed relation schema?
    • It cannot use text as input
    • It always requires a knowledge base to label every sentence
    • It only identifies entity boundaries
    • It can express relation phrases without choosing only from a predefined label inventory