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Related Questions
- How does entity-based attention mechanism identify entities with multiple mentions in a single input text?
- Can you elaborate on how entity-based attention handles coreference resolution when an entity is mentioned multiple times in the input?
- How do models using entity-based attention distinguish between different mentions of the same entity in the input text?
- What strategies do researchers use to handle entity fragmentation, where an entity is split across multiple mentions in the input text?
- How does the entity-based attention mechanism in large language models account for anaphora, a phenomenon where a pronoun or a phrase refers to a previously mentioned entity?
- Can entity-based attention handle entities that are mentioned multiple times, but with different properties, such as a person with different roles in different parts of the text?
- How does the entity-based attention mechanism perform when dealing with entity multiplicity, where a single entity is mentioned multiple times, but with different characteristics, such as a person being mentioned as a witness, a victim, and a suspect in a crime story?
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