This paper describes the first edition of the “Diachronic Lexical Semantics” (DIACR-Ita) task at the EVALITA 2020 campaign. The task challenges participants to develop systems that can automatically detect if a given word has changed its meaning over time, given contextual information from corpora. The task, at its first edition, attracted 9 participant teams and collected a total of 36 submission runs
In recent years, there has been a significant increase in interest in lexical semantic change detec...
In this thesis, we study lexical semantic change: temporal variations in the use and meaning of word...
Words of human languages change their meaning over time. This linguistic phenomenon is known as ‘dia...
This paper describes the first edition of the “Diachronic Lexical Seman-tics” (DIACR-Ita) task ...
This paper describes the first edition of the “Diachronic Lexical Semantics” (DIACR-Ita) task at the...
In this paper, we present the results and main findings of our system for the DIACR-Ita 2020 Task. O...
In this paper, we describe our method for detection of lexical semantic change (i.e., word sense cha...
In this paper, we present the results and main findings of our system for the DIACR-Ita 2020 Task. O...
We present our systems and findings on unsupervised lexical semantic change for the Italian language...
With the growing availability of digitized diachronic corpora, the need for tools capable of taking ...
In this paper, we present our results related to the EVALITA 2020 challenge, DIACR-Ita, for semantic...
In recent years, there has been a significant increase in interest in lexical semantic change detect...
We present the results of our participation in the DIACR-Ita shared task on lexical semantic change ...
With the growing availability of digitized diachronic corpora, the need for tools capable of taking ...
We present the results of our participation in the DIACR-Ita shared task on lexical semantic change ...
In recent years, there has been a significant increase in interest in lexical semantic change detec...
In this thesis, we study lexical semantic change: temporal variations in the use and meaning of word...
Words of human languages change their meaning over time. This linguistic phenomenon is known as ‘dia...
This paper describes the first edition of the “Diachronic Lexical Seman-tics” (DIACR-Ita) task ...
This paper describes the first edition of the “Diachronic Lexical Semantics” (DIACR-Ita) task at the...
In this paper, we present the results and main findings of our system for the DIACR-Ita 2020 Task. O...
In this paper, we describe our method for detection of lexical semantic change (i.e., word sense cha...
In this paper, we present the results and main findings of our system for the DIACR-Ita 2020 Task. O...
We present our systems and findings on unsupervised lexical semantic change for the Italian language...
With the growing availability of digitized diachronic corpora, the need for tools capable of taking ...
In this paper, we present our results related to the EVALITA 2020 challenge, DIACR-Ita, for semantic...
In recent years, there has been a significant increase in interest in lexical semantic change detect...
We present the results of our participation in the DIACR-Ita shared task on lexical semantic change ...
With the growing availability of digitized diachronic corpora, the need for tools capable of taking ...
We present the results of our participation in the DIACR-Ita shared task on lexical semantic change ...
In recent years, there has been a significant increase in interest in lexical semantic change detec...
In this thesis, we study lexical semantic change: temporal variations in the use and meaning of word...
Words of human languages change their meaning over time. This linguistic phenomenon is known as ‘dia...