1 citations · 1 across the 1 of their papers we have counts for
3 papers
Unsupervised Embedding-based Detection of Lexical Semantic Changes
Ehsaneddin Asgari, Christoph Ringlstetter, Hinrich Schütze
This paper describes EmbLexChange, a system introduced by the "Life-Language" team for SemEval-2020 Task 1, on unsupervised detection of lexical-semantic changes. EmbLexChange is d…
UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages
Ehsaneddin Asgari, Fabienne Braune, Benjamin Roth +2
In this paper, we introduce UniSent universal sentiment lexica for languages. Sentiment lexica are vital for sentiment analysis in absence of document-level annotations, a…
Comparing Fifty Natural Languages and Twelve Genetic Languages Using Word Embedding Language Divergence (WELD) as a Quantitative Measure of Language Distance
Ehsaneddin Asgari, Mohammad R. K. Mofrad
We introduce a new measure of distance between languages based on word embedding, called word embedding language divergence (WELD). WELD is defined as divergence between unified si…