Kuiz berkaitan panduan · Sederhana Tahap

Kuiz Penandaan Sebahagian daripada Pertuturan

Semak kategori POS, kekaburan kontekstual, teg Penn Treebank, peralihan dan pelepasan HMM, VBD, ciri NLP, kategori UD dan hubungan sintaks.

Laluan panduan yang berkaitanSebahagian Daripada Penandaan Pertuturan
soalan 1 daripada 8

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

Pratonton setiap soalan8 soalan

Jawapan dan penjelasan muncul semasa anda mengambil kuiz.

  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. Mengapakah konteks penting untuk penandaan POS?
    • Kerana setiap perkataan mempunyai tepat satu kemungkinan tag
    • Kerana penandaan mengabaikan ayat sepenuhnya
    • Kerana ayat yang lebih panjang sentiasa lebih mudah
    • Kerana banyak perkataan boleh menjadi bahagian pertuturan yang berbeza bergantung pada penggunaan
  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?
    • Pemampatan fail imej
    • Pengiktirafan entiti bernama
    • Audio amplifier volume control
    • Disk encryption
  7. How many universal POS categories does the stated Universal Dependencies version 2 inventory define?
    • Seventeen
    • dua
    • 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