Guide-yakabatana mibvunzo · Zvakaoma Nhanho
Coreference Resolution Quiz
Yedza taura kuzivikanwa, pronominal anaphora, Winograd kufunga, zvikanganiso zvepasi, chinzvimbo chenguva, mitauro, kubatanidza mubatanidzwa, uye kuongorora kwakarerekera.
Mubvunzo 1 ye 8
When grouping Maria and she in Maria said she was tired, what identity relationship does coreference resolution investigate?
Tarisa mubvunzo wese8 mibvunzo
Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.
- 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
- Sei mutsara wekuti "Mukombe hauna kukwana musutukesi nekuti yaive yakakura" ndeye classic hard kesi (Winograd schema)?
- Iine kukanganisa kwezviperengo
- Harina zvisazitavanhu zvachose
- Zvakanyorwa nezwi risingaite
- Kusarudza kuti "izvo" zvinorevei kunoda ruzivo rwenyika chaiyo, kwete girama chete
- Sei coreference resolution ine basa kumabasa akaita sepfupiso uye mhinduro yemubvunzo?
- Inoita kuti mavara emavara ave makuru
- Kukanganisa kuti izwi rinoreva chiumbwa chipi kunotungamira kune zvakaipa kana kuvhiringa zvabuda
- Inomhanyisa hard drive yekombuta
- Inobatsira chete kunhetembo
- 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