Maswali yanayounganishwa na mwongozo · Kati Kiwango

Maswali ya Uwekaji Tagi ya Sehemu ya Hotuba

Kagua kategoria za POS, utata wa kimuktadha, lebo za Penn Treebank, mabadiliko na utoaji wa gesi ya HMM, vipengele vya VBD, NLP, kategoria za UD na mahusiano ya sintaksia.

Njia za mwongozo zinazohusianaSehemu ya Utambulisho wa Hotuba
Swali 1 ya 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. Kwa nini muktadha ni muhimu kwa kuweka lebo kwenye POS?
    • Kwa sababu kila neno lina lebo moja inayowezekana
    • Kwa sababu kuweka alama hupuuza sentensi kabisa
    • Kwa sababu sentensi ndefu huwa rahisi kila wakati
    • Kwa sababu maneno mengi yanaweza kuwa sehemu tofauti za usemi kulingana na matumizi
  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?
    • Ukandamizaji wa faili ya picha
    • Utambuzi wa huluki uliopewa jina
    • Audio amplifier volume control
    • Disk encryption
  7. How many universal POS categories does the stated Universal Dependencies version 2 inventory define?
    • Seventeen
    • Mbili
    • 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