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Questions and Answers
What is the main limitation of most word embedding techniques mentioned in the text?
What is the main limitation of most word embedding techniques mentioned in the text?
- They lack parameter sharing
- They ignore the internal structure of words (correct)
- They are not efficient on large corpora
- They do not consider morphologically rich languages
How did Mikolov et al. (2013b) propose to learn continuous representations of words?
How did Mikolov et al. (2013b) propose to learn continuous representations of words?
- By incorporating morphological features (correct)
- Using feed-forward neural networks
- By sharing parameters among words
- By predicting words based on context
What is a distinguishing feature of morphologically rich languages like Turkish and Finnish?
What is a distinguishing feature of morphologically rich languages like Turkish and Finnish?
- They contain many word forms that occur rarely (correct)
- They have very simple grammatical structures
- They lack inflectional forms for verbs
- They do not benefit from character level information
What did Alexandrescu and Kirchhoff (2006) introduce to improve modeling of rare words?
What did Alexandrescu and Kirchhoff (2006) introduce to improve modeling of rare words?
In contrast to some other methods, what does the approach proposed in the text not rely on for deriving word representations?
In contrast to some other methods, what does the approach proposed in the text not rely on for deriving word representations?
What is a limitation of popular models that learn word representations?
What is a limitation of popular models that learn word representations?
In the proposed approach based on the skipgram model, how are words represented?
In the proposed approach based on the skipgram model, how are words represented?
What advantage does the new method have in training models on large corpora quickly?
What advantage does the new method have in training models on large corpora quickly?
How are word representations evaluated in the study mentioned?
How are word representations evaluated in the study mentioned?
What is the main historical source of continuous representations of words in natural language processing?
What is the main historical source of continuous representations of words in natural language processing?
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