Idanwo ti o sopọ mọ itọsọna · Alabọde Ipele

Apá-ti-Ọrọ Ìdánwò Tagging

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

Jẹmọ itọsọna awọn ọnaApá Of Ọrọ Tagging
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Which type of annotation does POS tagging assign to a token in context?

Awotẹlẹ gbogbo ibeere8 ibeere

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

  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. Kini idi ti ọrọ-ọrọ ṣe pataki fun fifi aami si POS?
    • Nitori gbogbo ọrọ ni o ni pato kan ṣee ṣe tag
    • Nitori fifi aami le foju si gbolohun naa patapata
    • Nitori awọn gbolohun ọrọ to gun jẹ rọrun nigbagbogbo
    • Nitoripe ọpọlọpọ awọn ọrọ le jẹ oriṣiriṣi awọn ẹya ti ọrọ da lori lilo
  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?
    • Aworan faili funmorawon
    • Ti a npè ni-ohun idanimọ
    • Audio amplifier volume control
    • Disk encryption
  7. How many universal POS categories does the stated Universal Dependencies version 2 inventory define?
    • Seventeen
    • Meji
    • 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