引导式测验 · 中等 等级

自然语言推理和蕴涵测验

了解 NLI 的蕴含、矛盾和中性标签、基准数据集、变压器输入和证据检查限制。

相关引导路径自然语言推理和蕴涵
问题 1 的 8

自然语言推理的三个标准标签是什么？

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  1. 自然语言推理的三个标准标签是什么？
    • 蕴含、矛盾、中性
    • 正、负、中性
    • 真、假、未知
    • 主语、动词、宾语
  2. 在 NLI 中，“蕴含”是什么意思？
    • 两句话无关
    • 给定前提，假设必须为真
    • 给定前提，假设一定是错误的
    • 这些句子在语法上是相同的
  3. 给定前提“一个人在舞台上弹吉他”，哪个假设是矛盾的？
    • 一个人在演奏音乐
    • 群众都喜欢这首歌
    • 舞台空无一人
    • 音乐家拿着乐器
  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. 哪些数据集被广泛用于训练和评估 NLI？
    • SNLI 和 MultiNLI
    • ImageNet 和 CIFAR
    • MNIST 和 SVHN
    • 维基文本和 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