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Using Neural Methods in a Large Text Collection
When i did my masters, this was just in the beginning of this is around the time that word to ve was published. So for example, if i don't know, lady gaga had an occupation of singer, and singer had a instance of person, so we we could infer from that, tha, lady gage is a person. And then i worked on detecting these easer relation ships by using neuranets,. Just trying to incod thes patterns that were connecting words in e in the text collection.