Guide-linked quiz · Hard Level
Coreference Resolution Quiz
Test mention identity, pronominal anaphora, Winograd reasoning, downstream errors, span ranking, linguistic cues, entity linking, and bias evaluation.
Question 1 of 8
When grouping Maria and she in Maria said she was tired, what identity relationship does coreference resolution investigate?
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Answers and explanations appear as you take the quiz.
- 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
- Linking a pronoun to an earlier expression for the same referent is a familiar example of which relation?
- Document-level sentiment classification
- Image segmentation
- Pronominal anaphora
- Alphabetical token sorting
- Why is the sentence "The trophy did not fit in the suitcase because it was too big" a classic hard case (a Winograd schema)?
- It contains a spelling error
- It has no pronouns at all
- It is written in passive voice
- Deciding what "it" refers to requires real-world knowledge, not just grammar
- Why does coreference resolution matter for tasks like summarization and question answering?
- It makes the text font larger
- Mistaking which entity a word refers to leads to wrong or confusing outputs
- It speeds up the computer's hard drive
- It is only useful for poetry
- 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
- 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
- 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
- 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
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