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Related Questions
- What techniques can be employed to detect and adapt to out-of-vocabulary entities in language models?
- How can in-domain data collection and retraining be utilized to minimize the impact of out-of-vocabulary entities?
- What role can word embeddings play in improving out-of-vocabulary entity recognition and handling?
- What are some strategies for addressing out-of-vocabulary entities in downstream tasks such as sentiment analysis and topic modeling?
- How can pre-processing techniques like entity disambiguation and spell correction help mitigate the effects of out-of-vocabulary entities?
- Can multimodal data sources be leveraged to improve the performance of models in out-of-vocabulary entity situations?
- What approaches can be used to actively learn from and adapt to novel entities encountered in real-world applications?
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