A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
The hypernymy relation is the one occurring between an instance term and its general term (e.g., "lion" and "animal", "Italy" and "country"). This paper we addresses Hypernym Discovery, the NLP task that aims at finding valid hypernyms from words in a given text, proposing HyperRank, an unsupervised approach that therefore does not require manually-labeled training sets as most approaches in the literature. The proposed algorithm exploits the cosine distance of points in the vector space ofdoi:10.3390/info11050268 fatcat:rck4yyygubemvg2wysfj2lr2ti