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What did the Transformer model bring to NLP compared to its predecessors (Glove, Fastest, Word2Vec)
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Which principle implies that the meaning of a word is determined by the words that frequently appear in its neighboring context?3
What is the LDA used for?2
What is a topic modeling in the context of Natural Language Processing?8
What does NER mean?2
Morphological segmentation is the process of separating words into individual morphemes and identifying their classes.3
Tokenization is the process of separating text into words or groups of words.2
Co-reference resolution is the task of determining which words or groups of words refer to the same entity.