We present the first shared task on semantic change discovery and detect...
While there is a large amount of research in the field of Lexical Semant...
This paper presents a comparison of unsupervised methods of hypernymy
pr...
Word meaning is notoriously difficult to capture, both synchronically an...
Type- and token-based embedding architectures are still competing in lex...
Lexical semantic change detection is a new and innovative research field...
The computational study of lexical semantic change (LSC) has taken off i...
We present the results of our participation in the DIACR-Ita shared task...
We present the results of our participation in the DIACR-Ita shared task...
We present the results of our system for SemEval-2020 Task 1 that exploi...
Lexical Semantic Change detection, i.e., the task of identifying words t...
Recent NLP architectures have illustrated in various ways how semantic c...
We present a novel procedure to simulate lexical semantic change from
sy...
We perform an interdisciplinary large-scale evaluation for detecting lex...
We simulate first- and second-order context overlap and show that Skip-G...
State-of-the-art models of lexical semantic change detection suffer from...
We propose a framework that extends synchronic polysemy annotation to
di...
We test the hypothesis that the degree of grammaticalization of German
p...
This paper explores the information-theoretic measure entropy to detect
...
The fundamental role of hypernymy in NLP has motivated the development o...