CPC G06F 40/30 (2020.01) [G06N 3/08 (2013.01); G06F 2207/4824 (2013.01)] | 20 Claims |
1. A method comprising:
receiving a list of candidate hyponym-hypernym pairs extracted from a text corpus, wherein each candidate hyponym-hypernym pair comprises a pair of terms representing a candidate hyponym and a candidate hypernym;
modifying the list to add or remove at least one candidate hyponym-hypernym pair; and
training, via machine learning, a neural network for hypernym induction based on the modified list and frequency information indicative of a number of times a hypernymy relation is observed between a candidate hyponym and a candidate hypernym of each candidate hyponym-hypernym pair of the modified list, wherein the trained neural network is a strict partial order network (SPON).
|