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Roberto Basili
Researcher at University of Rome Tor Vergata
Publications - 264
Citations - 3997
Roberto Basili is an academic researcher from University of Rome Tor Vergata. The author has contributed to research in topics: Tree kernel & Support vector machine. The author has an hindex of 31, co-authored 254 publications receiving 3734 citations. Previous affiliations of Roberto Basili include Instituto Politécnico Nacional & Sapienza University of Rome.
Papers
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Proceedings Article
Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification
TL;DR: The experiments suggest that syntactic information helps tasks such as question/answer classification and that shallow semantics gives remarkable contribution when a reliable set of PASs can be extracted, e.g. from answers.
Book ChapterDOI
Complex Linguistic Features for Text Classification: A Comprehensive Study
TL;DR: Phrases, word senses and syntactic relations derived by Natural Language Processing techniques were observed ineffective to increase retrieval accuracy.
Journal ArticleDOI
Tree kernels for semantic role labeling
Alessandro Moschitti,Alessandro Moschitti,Alessandro Moschitti,Daniele Pighin,Daniele Pighin,Daniele Pighin,Roberto Basili,Roberto Basili,Roberto Basili +8 more
TL;DR: Several kernel functions to model parse tree properties in kernel-based machines, for example, perceptrons or support vector machines are proposed and tree kernels allow for a general and easily portable feature engineering method which is applicable to a large family of natural language processing tasks.
Proceedings Article
Structured Lexical Similarity via Convolution Kernels on Dependency Trees
TL;DR: This paper defines efficient and powerful kernels for measuring the similarity between dependency structures, whose surface forms of the lexical nodes are in part or completely different, and confirms the benefit of semantic smoothing for dependency kernels.
Book ChapterDOI
Building the Italian Syntactic-Semantic Treebank
Simonetta Montemagni,Francesco Barsotti,Marco Battista,Nicoletta Calzolari,Ornella Corazzari,Alessandro Lenci,Antonio Zampolli,Francesca Fanciulli,Maria Massetani,Remo Raffaelli,Roberto Basili,Maria Teresa Pazienza,Dario Saracino,Fabio Massimo Zanzotto,Nadia Mana,Fabio Pianesi,Rodolfo Delmonte +16 more
TL;DR: The paper reports on the design and construction of a multi-layered corpus of Italian, annotated at the syntactic and lexico-semantic levels, whose development is supported by dedicated software augmented with an intelligent interface.