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Related Questions
- What are the common challenges encountered when combining Named Entity Recognition (NER) with other NLP techniques, such as sentiment analysis or text classification?
- How can the limitations of NER be addressed when used in conjunction with other NLP techniques, and what are some strategies for overcoming these challenges?
- What are some common pitfalls to avoid when integrating NER with other NLP techniques, and how can they be mitigated?
- Can you provide examples of successful applications of NER in conjunction with other NLP techniques, and what made them successful?
- How can the accuracy of NER be improved when used in conjunction with other NLP techniques, and what are some techniques for enhancing its performance?
- What are some techniques for handling out-of-vocabulary words or entities when using NER in conjunction with other NLP techniques?
- How can the scalability of NER be improved when used in conjunction with other NLP techniques, and what are some strategies for optimizing its performance in large-scale applications?
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