Increasing information accessibility on the Web: a rating system for specialized dictionaries

The paper illustrates the features of the WLR (Web Linguistic Resources) portal, which collects specialized online dictionaries and asses their suitability for different functions using a specifically designed rating system. The contribution aims to demonstrate how the existing tool has improved the usefulness of lexico-graphical portals and how its effectiveness can be further increased by transforming the portal into a collaborative resource.Questo contributo descrive le caratteristiche del portale WLR (Web Linguistic Resources) che raccoglie dizionari specialistici della Rete e ne stima l’utilizzabilità per diverse funzioni, avvalendosi di uno specifico sistema di valutazione. Viene quindi mostrato come questo strumento incrementi l’utilizzabilità dei portali lessicografici finora sviluppati e come la sua efficacia possa essere ulteriormente migliorata trasformandolo in risorsa collaborativa

State-of-the-art Italian dependency parsers based on neural and ensemble systems

In this paper we present a work which aims to test the most advanced, state-of-the-art syntactic dependency parsers based on deep neural networks (DNN) on Italian. We made a large set of experiments by using two Italian treebanks containing different text types downloaded from the Universal Dependencies project and propose a new solution based on ensemble systems. We implemented the proposed ensemble solutions by testing different techniques described in literature, obtaining very good parsing results, well above the state of the art for Italian

Comparing State-of-the-art Dependency Parsers on the Italian Stanford Dependency Treebank

In the last decade, many accurate dependency parsers have been made publicly available. It can be difficult for non-experts to select a good off-the-shelf parser among those available. This is even more true when working on languages different from English, because parsers have been tested mainly on English treebanks. Our analysis is focused on Italian and relies on the Italian Stanford Dependency Treebank (ISDT). This work is a contribution to help non-experts understand how difficult it is to apply a specific dependency parser to a new language/treebank and choose a parser that meets their needs

Comparing State-of-the-art Dependency Parsers on the Italian Stanford Dependency Treebank

Abstract English. In the last decade, many accurate dependency parsers have been made publicly available. It can be difficult for non-experts to select a good off-the-shelf parser among those available. This is even more true when working on languages different from English, because parsers have been tested mainly on English treebanks. Our analysis is focused on Italian and relies on the Italian Stanford Dependency Treebank (ISDT). This work is a contribution to help non-experts understand how difficult it is to apply a specific dependency parser to a new language/treebank and choose a parser that meets their needs. Italiano. Nell'ultimo decennio sono stati resi disponibili molti analizzatori sintattici a dipendenza. Per i non esperti può essere difficile sceglierne uno pronto all'uso tra quelli disponibili. A maggior ragione se si lavora su lingue diverse dall'inglese, perché gli analizzatori sono stati applicati soprattutto su treebank inglesi. La nostra analisiè dedicata all'italiano e si basa sull'Italian Stanford Dependency Treebank (ISDT). Questo articoloè un contributo per aiutare i non esperti a capire quantoè difficile applicare un analizzatore a una nuova lingua/treebank e a scegliere quello più adatto