Quiz lié à un guide · Moyen Niveau

Quiz sur le marquage d'une partie du discours

Passez en revue les catégories POS, l'ambiguïté contextuelle, les balises Penn Treebank, les transitions et émissions HMM, les fonctionnalités VBD, NLP, les catégories UD et les relations syntaxiques.

Chemins de guidage associésUne partie du marquage vocal
Question 1 de 8

Which type of annotation does POS tagging assign to a token in context?

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  1. Which type of annotation does POS tagging assign to a token in context?
    • A document-level spam label only
    • A grammatical category such as noun, verb, or adjective
    • A translation into a required target language
    • A guarantee of the token's real-world referent
  2. Pourquoi le contexte est-il essentiel pour le marquage sur point de vente ?
    • Parce que chaque mot a exactement une balise possible
    • Parce que le marquage ignore complètement la phrase
    • Parce que les phrases plus longues sont toujours plus faciles
    • Parce que de nombreux mots peuvent constituer différentes parties du discours selon leur utilisation.
  3. How should the core Penn Treebank POS inventory be distinguished from its additional punctuation annotations?
    • It contains exactly two labels and no punctuation annotations
    • It is a database containing only book reviews
    • It has 36 core POS tags, with punctuation tags also used
    • It provides a different trained neural model for every tag
  4. Which probabilities does a classic HMM POS tagger combine when scoring a tag sequence?
    • Tag-to-tag transitions and word emissions given tags
    • Only word filenames and image brightness
    • Only probabilities of a tag given a word with no sequence model
    • A requirement that every tag have equal probability
  5. In the Penn Treebank POS convention, which grammatical property does VBD mark?
    • A singular noun
    • An adjective
    • A coordinating conjunction
    • A past-tense verb
  6. Which language-processing experiment can use POS tags as additional input features?
    • Compression de fichiers images
    • Reconnaissance d'entité nommée
    • Audio amplifier volume control
    • Disk encryption
  7. How many universal POS categories does the stated Universal Dependencies version 2 inventory define?
    • Seventeen
    • Deux
    • Thirty-six core Penn categories
    • One hundred compulsory English-only categories
  8. In Universal Dependencies, how does NOUN differ from nsubj?
    • Both are required names for the same trained model
    • NOUN marks sentence sentiment; nsubj marks image size
    • NOUN is a word category; nsubj is a nominal-subject relation
    • Both necessarily mean that a word is a past-tense verb