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Related Questions
- How do word embeddings like Word2Vec and GloVe handle the polysemy of words with multiple meanings?
- Can you explain the concept of entity disambiguation in the context of word embeddings and categorization tasks?
- How do word embeddings handle the ambiguity of entities with multiple senses, such as 'bank' referring to both a financial institution and a riverbank?
- In what ways do word embeddings like BERT and ELMo address the issue of entity ambiguity in categorization tasks?
- Can you discuss the limitations of word embeddings in handling entity ambiguity and disambiguation in categorization tasks?
- How do word embeddings like FastText and Spacy handle out-of-vocabulary (OOV) words and their potential impact on entity ambiguity?
- What are some common techniques used to improve the performance of word embeddings in categorization tasks with entity ambiguity?
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