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Dive into the research topics where Emanuele Pianta is active.

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Featured researches published by Emanuele Pianta.


MLR '04 Proceedings of the Workshop on Multilingual Linguistic Ressources | 2004

Revising the wordnet domains hierarchy: semantics, coverage and balancing

Luisa Bentivogli; Pamela Forner; Bernardo Magnini; Emanuele Pianta

The continuous expansion of the multilingual information society has led in recent years to a pressing demand for multilingual linguistic resources suitable to be used for different applications. n nIn this paper we present the WordNet Domains Hierarchy (WDH), a language-independent resource composed of 164, hierarchically organized, domain labels (e.g. Architecture, Sport, Medicine). Although WDH has been successfully applied to various Natural Language Processing tasks, the first available version presented some problems, mostly related to the lack of a clear semantics of the domain labels. Other correlated issues were the coverage and the balancing of the domains. We illustrate a new version of WDH addressing these problems by an explicit and systematic reference to the Dewey Decimal Classification. The new version of WDH has a better defined semantics and is applicable to a wider range of tasks.


NLPXML '06 Proceedings of the 5th Workshop on NLP and XML: Multi-Dimensional Markup in Natural Language Processing | 2006

Representing and accessing multilevel linguistic annotation using the MEANING format

Emanuele Pianta; Luisa Bentivogli; Christian Girardi; Bernardo Magnini

We present an XML annotation format (MEANING Annotation Format, MAF) specifically designed to represent and integrate different levels of linguistic annotations and a tool that provides flexible access to them (MEANING Browser). We describe our experience in integrating linguistic annotations coming from different sources, and the solutions we adopted to implement efficient access to corpora annotated with the Meaning Format.


Archive | 2013

Evaluation of Natural Language and Speech Tools for Italian

Bernardo Magnini; Francesco Cutugno; Mauro Falcone; Emanuele Pianta

The aim of the EVALITA Parsing Task (EPT) is at defining and extending Italian state-of-the-art parsing by encouraging the application of existing models and approaches, comparing paradigms and annotation formats. Therefore, in all the editions, held respectively in 2007, 2009 and 2011, the Task has been organized around two tracks, namely Dependency Parsing and Constituency Parsing, exploiting the same data sets made available by the organizers in two different formats. This paper describes the Dependency Parsing Task assuming an historical perspective, but mainly focussing on the last edition held in 2011. It presents and compares the resources exploited for development and testing, the participant systems and the results, showing also the improvement of resources and scores during the three editions of this contest.


Archive | 2002

MultiWordNet: Developing an Aligned Multilingual Database

Emanuele Pianta; Luisa Bentivogli; Christian Girardi


Archive | 2004

Extending WordNet with Syntagmatic Information

Luisa Bentivogli; Emanuele Pianta


Archive | 2003

The MEANING Italian Corpus

Luisa Bentivogli; Christian Girardi; Emanuele Pianta


Archive | 2008

Improving cross-document coreference

Octavian Popescu; Christian Girardi; Emanuele Pianta; Bernardo Magnini


language resources and evaluation | 2010

A Resource for Investigating the Impact of Anaphora and Coreference on Inference.

Azad Abad; Luisa Bentivogli; Ido Dagan; Danilo Giampiccolo; Shachar Mirkin; Emanuele Pianta; Asher Stern


Archive | 2004

Browsing Multilingual Information with the MultiSemCor Web Interface

Marcello Ranieri; Emanuele Pianta; Luisa Bentivogli


Archive | 2013

Evaluation of Natural Language and Speech Tool for Italian: International Workshop, EVALITA 2011, Rome, January 24-25, 2012, Revised Selected Papers

Bernardo Magnini; Francesco Cutugno; Mauro Falcone; Emanuele Pianta

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Danilo Giampiccolo

National Institute of Standards and Technology

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Pamela Forner

Carnegie Mellon University

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