Sorry about all the questions. Suppose I want to find sentences in a corpus that involve the relation X aka Y, and variants thereof, and where I'm pre-specifying what Xes I'm looking for. It's clear that this software can be used to find those sentences. But can it also help with getting what that Y in the sentences is? That is, suppose I have sentences like the following:
Donald Trump, aka @TheRealDonald, is a former president of the United States.
Donald Trump (or, as we call him, the orange cheeto) sucks.
Given how this system is already parsing the sentences, can the information from the parse be used to help mine alternative names like @TheRealDonald and the orange cheeto? Or, is there any way I can use this system to help with that? Or would I just have to take the predictions from this system and do further processing (e.g. noun chunking) by myself?
Sorry about all the questions. Suppose I want to find sentences in a corpus that involve the relation
X aka Y, and variants thereof, and where I'm pre-specifying what Xes I'm looking for. It's clear that this software can be used to find those sentences. But can it also help with getting what thatYin the sentences is? That is, suppose I have sentences like the following:Given how this system is already parsing the sentences, can the information from the parse be used to help mine alternative names like
@TheRealDonaldandthe orange cheeto? Or, is there any way I can use this system to help with that? Or would I just have to take the predictions from this system and do further processing (e.g. noun chunking) by myself?