Abstract

Since most content in Digital Libraries and Archives is text, there is an interest in the application of Natural Language Processing (NLP) to extract valuable information from it in order to support various kinds of user activities. Most NLP techniques exploit linguistic resources that are language-specific, costly and error-prone to produce manually, which motivates research for automatic ways to build them. This paper extends the BLA-BLA tool for learning linguistic resources, adding a Grammar Induction feature based on the advanced process mining and management system WoMan. Experimental results are encouraging, envisaging interesting applications to Digital Libraries and motivating further research aimed at extracting an explicit grammar from the learned models.

Autore Pugliese

• Ferilli Stefano

Tutti gli autori

• ANGELASTRO S.;FERILLI S.

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2019

ISSN

Non Disponibile

ISBN

978-3-030-11225-7; 978-3-030-11226-4

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

Non Disponibile

Ultimo Aggiornamento Citazioni

Non Disponibile

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile