In this work we analyze the performances of two of the most used word embeddings algorithms, skip-gram and continuous bag of words on Italian language. These algorithms have many hyper-parameter that have to be carefully tuned in order to obtain accurate word representation in vectorial space. We provide an extensive analysis and an evaluation, showing what are the best configuration of parameters for specific analogy tasks.
Analysis of Italian word embeddings / Tripodi, Rocco; Pira, Stefano Li. - ELETTRONICO. - 2006:(2017), pp. 321-326. (Intervento presentato al convegno 4th Italian Conference on Computational Linguistics, CLiC-it 2017 tenutosi a Roma nel 2017) [10.4000/books.aaccademia.2475].
Analysis of Italian word embeddings
Tripodi, Rocco;
2017
Abstract
In this work we analyze the performances of two of the most used word embeddings algorithms, skip-gram and continuous bag of words on Italian language. These algorithms have many hyper-parameter that have to be carefully tuned in order to obtain accurate word representation in vectorial space. We provide an extensive analysis and an evaluation, showing what are the best configuration of parameters for specific analogy tasks.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
