Cuestionario vinculado a una guía · duro Nivel
Prueba de resolución de correferencias
Las pruebas mencionan identidad, anáfora pronominal, razonamiento de Winograd, errores posteriores, clasificación de tramos, señales lingüísticas, vinculación de entidades y evaluación de sesgos.
Pregunta 1 de 8
When grouping Maria and she in Maria said she was tired, what identity relationship does coreference resolution investigate?
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- 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
- Segmentación de imágenes
- Pronominal anaphora
- Alphabetical token sorting
- ¿Por qué la frase "El trofeo no cabía en la maleta porque era demasiado grande" es un caso clásico (un esquema de Winograd)?
- Contiene un error ortográfico.
- No tiene ningún pronombre
- Está escrito en voz pasiva.
- Decidir a qué se refiere "eso" requiere conocimiento del mundo real, no solo gramática
- ¿Por qué es importante la resolución de correferencias para tareas como resúmenes y respuestas a preguntas?
- Hace que la fuente del texto sea más grande.
- Equivocarse a qué entidad se refiere una palabra conduce a resultados erróneos o confusos
- Acelera el disco duro del ordenador.
- Sólo sirve para poesía.
- 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