Humpty Dumpty: Controlling Word Meanings via Corpus Modifications

Tal Schuster
Tal Schuster
Yoav Meri
Yoav Meri

ieee symposium on security and privacy, 2020.

Cited by: 0|Bibtex|Views24
Other Links: academic.microsoft.com

Abstract:

Word embeddings, i.e., low-dimensional vector representations such as GloVe and SGNS, encode word meaningu0027u0027 in the sense that distances between wordsu0027 vectors correspond to their semantic proximity. This enables transfer learning of semantics for a variety of natural language processing tasks. Word embeddings are typically tra...More

Code:

Data:

Your rating :
0

 

Tags
Comments