Guide-yakabatana mibvunzo · Pakati Nhanho

Mutauro Wechisikigo Inference uye Entailment Quiz

Dzidza kubatanidzwa kweNLI, kupokana, uye mavara asina kwaakarerekera, mabhenji datasets, transformer inputs, uye humbowo-yekutarisa miganho.

Nzira dzekutungamira dzinoenderanaMutauro Wechisikigo Inference uye Intailment
Mubvunzo 1 ye 8

Ndeapi mavara matatu akajairwa muchirevo chemutauro wechisikigo?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Ndeapi mavara matatu akajairwa muchirevo chemutauro wechisikigo?
    • Intailment, kupokana, kwazvakarerekera
    • Positive, negative, neutral
    • Chokwadi, nhema, hazvizivikanwe
    • Musoro, chiito, chiumbwa
  2. MuNLI, 'kusanganisira' zvinorevei?
    • Mitsara miviri iyi haina hukama
    • Iyo hypothesis inofanira kuva yechokwadi yakapihwa chirevo
    • Iyo hypothesis inofanira kunge iri yenhema kana paine chikonzero
    • Mitsara yacho yakafanana pagirama
  3. Tichifunga nezve 'Murume ari kuridza gitare pachikuva,' ndeipi fungidziro inopokana?
    • Munhu ari kuita mimhanzi
    • Boka rinofarira rwiyo
    • Danho harina chinhu
    • Muimbi akabata chiridzwa
  4. What is an annotation artifact in an NLI dataset?
    • A model that reasons perfectly with very little data
    • A dataset where every annotator agrees
    • A premise that is always longer than its hypothesis
    • A spurious cue that lets a model guess labels without reasoning about the premise-hypothesis relation
  5. Ndeapi madataset anoshandiswa zvakanyanya kudzidzisa uye kuongorora NLI?
    • SNLI uye MultiNLI
    • ImageNet uye CIFAR
    • MNIST uye SVHN
    • WikiText uye Penn Treebank
  6. How can NLI support a check of a generated claim against source evidence?
    • Measure the generated claim’s length
    • Classify whether the evidence entails, contradicts, or leaves the claim neutral
    • Count unique words only
    • Translate the claim into another language
  7. In NLI, what does the neutral label mean?
    • The hypothesis is guaranteed true
    • The hypothesis is guaranteed false
    • The premise neither entails nor contradicts the hypothesis
    • The two sentences are grammatically identical
  8. How does a common transformer NLI classifier present a sentence pair to the model?
    • Encode only the hypothesis and discard the premise
    • Convert both sentences into audio first
    • Train a separate model for every word
    • Concatenate the premise and hypothesis with a separator token