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Related Questions
- How does negative sampling compare to other methods for generating analogies, such as word embeddings or knowledge graph-based approaches?
- What are the key advantages and disadvantages of negative sampling for analogy generation in language models?
- Can you explain the concept of 'negative sampling' in the context of analogy generation and how it differs from other methods?
- How does negative sampling handle out-of-vocabulary words or entities in analogy generation?
- What are some common applications of analogy generation in language models, and how does negative sampling fit into these use cases?
- Can you discuss the relationship between negative sampling and other analogy generation methods, such as word2vec or GloVe?
- What are some potential limitations or challenges of using negative sampling for analogy generation in language models?
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