Test legat de ghid · Mediu Nivel

Test de etichetare a părții de vorbire

Review POS categories, contextual ambiguity, Penn Treebank tags, HMM transitions and emissions, VBD, NLP features, UD categories, and syntax relations.

Căi de ghidare aferenteO parte din etichetarea vorbirii
Întrebare 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. De ce este contextul esențial pentru etichetarea POS?
    • Pentru că fiecare cuvânt are exact o etichetă posibilă
    • Pentru că etichetarea ignoră complet propoziția
    • Pentru că propozițiile mai lungi sunt întotdeauna mai ușoare
    • Pentru că multe cuvinte pot fi părți diferite ale vorbirii, în funcție de utilizare
  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?
    • Comprimarea fișierului imagine
    • Recunoașterea entității numite
    • Audio amplifier volume control
    • Disk encryption
  7. How many universal POS categories does the stated Universal Dependencies version 2 inventory define?
    • Seventeen
    • Doi
    • 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