가이드 연계 퀴즈 · 하드 레벨

상호 참조 해결 퀴즈

테스트 언급 정체성, 대명사적 표현, Winograd 추론, 다운스트림 오류, 범위 순위, 언어적 단서, 엔터티 연결 및 편향 평가.

관련 가이드 경로상호 참조 해결
질문 1 의 8

When grouping Maria and she in Maria said she was tired, what identity relationship does coreference resolution investigate?

모든 질문 미리보기8 질문

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  1. When grouping Maria and she in Maria said she was tired, what identity relationship does coreference resolution investigate?
    • Whether the two mentions refer to the same entity
    • Whether the passage must be translated first
    • Whether both words have the same spelling
    • Whether the sentence has exactly two punctuation marks
  2. Linking a pronoun to an earlier expression for the same referent is a familiar example of which relation?
    • Document-level sentiment classification
    • 이미지 분할
    • Pronominal anaphora
    • Alphabetical token sorting
  3. "트로피가 너무 커서 여행 가방에 맞지 않았습니다"라는 문장이 고전적인 하드 케이스(Winograd 스키마)인 이유는 무엇입니까?
    • 철자 오류가 포함되어 있습니다.
    • 대명사가 전혀 없어요
    • 수동태로 쓰여 있어요
    • "그것"이 무엇을 의미하는지 결정하려면 문법뿐만 아니라 실제 지식이 필요합니다.
  4. 요약 및 질문 답변과 같은 작업에 상호 참조 해결이 중요한 이유는 무엇입니까?
    • 텍스트 글꼴을 더 크게 만듭니다.
    • 단어가 어떤 개체를 가리키는지 혼동하면 잘못되거나 혼란스러운 결과가 발생합니다.
    • 컴퓨터의 하드 드라이브 속도를 높여줍니다.
    • 시에만 유용합니다.
  5. How do influential span-ranking coreference models construct mention links?
    • By requiring all names to be alphabetically adjacent
    • By deleting every pronoun before analyzing identity
    • By scoring candidate mentions and potential earlier antecedents
    • By assigning every span the same database record
  6. Which information can provide cues for a coreference model without guaranteeing a correct link?
    • Mention distance, grammatical agreement, and contextual information
    • Text color alone
    • The speed at which the user typed
    • A requirement that occupation stereotypes determine gender
  7. What extra step distinguishes entity linking from grouping coreferent mentions inside a document?
    • Counting how many pronouns appear without resolving them
    • Associating a mention with a disambiguated external knowledge-base entry
    • Changing every mention to uppercase
    • Requiring every mention to be a different entity
  8. What does WinoBias examine through occupation-based, Winograd-style pronoun examples?
    • The screen resolution used to display occupations
    • A guarantee that every occupation has one gender
    • The file size of every trained model
    • Differences between pro-stereotypical and anti-stereotypical coreference performance