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Related Questions
- What are the common challenges faced by language models in resolving coreference and how does coreference resolution help to address them?
- Can you explain the difference between coreference resolution and other types of natural language processing tasks, such as named entity recognition and semantic role labeling?
- How does coreference resolution impact the accuracy of downstream tasks, such as machine translation and question answering?
- What are some common techniques used in coreference resolution, such as mention-pair modeling and graph-based methods?
- Can you provide an example of a real-world application where coreference resolution has improved the performance of a language model?
- How does coreference resolution interact with other NLP tasks, such as sentiment analysis and entity disambiguation?
- What are some open challenges and future directions in coreference resolution, such as handling out-of-vocabulary words and dealing with coreference in dialogue systems?
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