Closed simongray closed 8 years ago
Example: "I am a er" should extract OCCUPATION for the person. Similarly, "I am from " or "I am a " etc. should be extracted.
Perhaps will need to create a new type of annotation for this? Would surely need to create a new class similar to SentimentTarget.
This type of information would constitute the either second half of the SentimentProfile or perhaps a separate PersonalProfile.
Another possibility is using OpenEI (just learned about this): http://nlp.stanford.edu/software/openie.html
Subsumed by #53 (part of the new Pattern/Proxy package)
Example: "I am aer" should extract OCCUPATION for the person. Similarly, "I am from " or "I am a " etc. should be extracted.
Perhaps will need to create a new type of annotation for this? Would surely need to create a new class similar to SentimentTarget.
This type of information would constitute the either second half of the SentimentProfile or perhaps a separate PersonalProfile.