| not the old-school NLP that looks at grammar and such things to (surprisingly) find that "X is a Y ." and "is X a Y ?" are not the same sequence of tokens I do that too. It works great - for easy cases. But it fails very quickly on just normal texts. So something like Stanford's CoreNLP Open Information Extraction splits "History is full of such prejudices paraded as iron laws that men are superior to women; that the white races are superior to the colored" into two claims[1]. There's no useful dependency between the two clauses. OpenIE 5[2] (no relationship with the Stanford project) generally outperforms CoreNLP for open information extraction. In this case I'm doubtful it would do any better. Ironically, OpenIE is now run AllenAI, and has exactly this problem! Even worse, it has determined that "No white person" is a synonym for "white person"! That should be well within the state of the art to avoid. But generally, I'm not saying it is correct: I'm saying it's hard. [1] http://corenlp.run/ [2] https://github.com/dair-iitd/OpenIE-standalone [3] http://openie.allenai.org/search?arg1=White&rel=superior&arg... |
The question in question (haha) was "Who is smarter?".