from Hirschberg and Manning, 2015
- Which of the following natural language processing (NLP) tasks is not discussed by the authors?
- translating between languages
- creating new stories and poetry
- summarizing documents
- engaging in conversation with a person
- predicting a writer's (or speaker's) beliefs and emotions
- Even though "bag of words" models do not interpret words in context, they are nevertheless a difficult baseline to beat for many NLP tasks.
- True
- False
- Much like in image processing, deep learning models for NLP can learn hierarchical representations of text data.
- True
- False
- Natural langauge processing has focused primarily on high-resource languages because:
- their syntax and vocabulary are better aligned with NLP methodology
- large training datasets are available in these languages
- Which of following can be used to help interpret words in context?
- recurrent neural networks
- convolutional neural networks
- models that recognize short phrases in addition to individual words
- all of the above