Future NLP tasks
While the majority of this book has been focused on text classification and sequence generation, there are a number of other NLP tasks that we haven't really touched on. While many of these are more interesting from an academic perspective rather than a practical perspective, it's important to understand these tasks as they form the basis of how language is constructed and formed. Anything we, as NLP data scientists, can do to better understand the formation of natural language will only improve our understanding of the subject matter. In this section, we will discuss, in more detail, four key areas of future development in NLP:
- Constituency parsing
- Semantic role labeling
- Textual entailment
- Machine comprehension
Constituency parsing
Constituency parsing (also known as syntactic parsing) is the act of identifying parts of a sentence and assigning a syntactic structure to it. This syntactic structure is largely determined by the...
