Maswali yanayounganishwa na mwongozo · Kati Kiwango

Inayoitwa Entity Rec. Maswali

Kagua miundo ya NER, lebo za tokeni, mipaka ya muda na urekebishaji huku ukiweka utambuzi wa huluki tofauti na ukweli wa kuunganisha na kuthibitishwa.

Njia za mwongozo zinazohusianaKinachoitwa Kitambulisho cha Huluki
Swali 1 ya 8

Before annotating a corpus, what should a team define?

Hakiki kila swali8 maswali

Majibu na maelezo huonekana unapojibu maswali.

  1. Before annotating a corpus, what should a team define?
    • Entity categories and span-boundary rules
    • The model vendor’s pricing plan
    • The number of pages in each file
    • A list of every person’s biography
  2. Why might “Labs” be included in “Northstar Research Labs” for one dataset?
    • All suffixes are always excluded
    • The annotation rules define whether organization suffixes are part of the span
    • NER decides company ownership
    • Tokenization makes boundaries irrelevant
  3. When token labels are aligned to subword tokens, what requires care?
    • Translating every token into a new language
    • Replacing offsets with a summary
    • Mapping labels back to the original text spans
    • Treating all subwords as separate people
  4. Why preserve character offsets for an extracted entity?
    • The system can infer a person’s identity
    • Offsets supply missing context automatically
    • They turn NER into sentiment analysis
    • An application can highlight the exact source span
  5. Which evaluation check matters for NER?
    • Check only whether a name appears somewhere
    • Assess both entity boundaries and entity types
    • Measure average sentence length only
    • Count model parameters
  6. A recognizer tags “Jordan” as a person. What would be needed to link it to a particular real-world record?
    • A longer NER label
    • Another punctuation mark
    • Separate entity linking with additional evidence
    • The same classifier run twice
  7. The system returns “Northstar” but the annotated organization span is “Northstar Research Labs.” What kind of error may this be?
    • A span-boundary error even if the type is right
    • Proof that entity linking succeeded
    • A sentiment classification error
    • A change in the source document
  8. Why is high average NER performance not enough for redaction?
    • Redaction does not use extracted spans
    • Every NER label hides the whole document
    • Offsets prevent misses
    • A missed sensitive name can remain visible despite a strong average score