Artificial intelligence, Natural language processing, Machine learning, Support vector machine and Semantics are his primary areas of study. His Artificial intelligence study frequently links to adjacent areas such as Pattern recognition. His study in Natural language processing is interdisciplinary in nature, drawing from both Speech recognition, Task, FrameNet and Linguistics.
The various areas that he examines in his Semantics study include Tree structure and Robot. His Tree kernel study incorporates themes from Semantic role labeling and Graph kernel. Roberto Basili interconnects Feature engineering, Parse tree and Perceptron in the investigation of issues within Feature.
Roberto Basili spends much of his time researching Artificial intelligence, Natural language processing, Machine learning, Support vector machine and Information extraction. Within one scientific family, Roberto Basili focuses on topics pertaining to Domain under Artificial intelligence, and may sometimes address concerns connected to Ontology. Roberto Basili has included themes like Task and FrameNet in his Natural language processing study.
His work investigates the relationship between Support vector machine and topics such as Sentiment analysis that intersect with problems in Lexicon. His Tree kernel research incorporates themes from Feature engineering, Parse tree, Inference and Kernel. His Semantic role labeling study typically links adjacent topics like Semantics.
His primary areas of study are Artificial intelligence, Deep learning, Seismology, Kernel and Machine learning. His Artificial intelligence study incorporates themes from Relevance and Natural language processing. His research integrates issues of Frame semantics and FrameNet in his study of Natural language processing.
His Deep learning study also includes fields such as
The scientist’s investigation covers issues in Artificial intelligence, Kernel, Machine learning, Deep learning and Pattern recognition. His Artificial intelligence research incorporates elements of Relevance and Natural language processing. His work deals with themes such as Field and Neural learning, which intersect with Natural language processing.
His research in Machine learning intersects with topics in Adversarial system, Generative grammar, Virtual learning environment and Java collections framework. In his research, Data science and Scale is intimately related to Question answering, which falls under the overarching field of Deep learning. The study incorporates disciplines such as Irony, Sarcasm and Speech act in addition to Pattern recognition.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Complex Linguistic Features for Text Classification: A Comprehensive Study
Alessandro Moschitti;Roberto Basili.
european conference on information retrieval (2004)
Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification
Alessandro Moschitti;Silvia Quarteroni;Roberto Basili;Suresh Manandhar.
meeting of the association for computational linguistics (2007)
Tree kernels for semantic role labeling
Alessandro Moschitti;Alessandro Moschitti;Alessandro Moschitti;Daniele Pighin;Daniele Pighin;Daniele Pighin;Roberto Basili;Roberto Basili;Roberto Basili.
Computational Linguistics (2008)
Building the Italian Syntactic-Semantic Treebank
Simonetta Montemagni;Francesco Barsotti;Marco Battista;Nicoletta Calzolari.
TEXT, SPEECH AND LANGUAGE TECHNOLOGY (2003)
Structured Lexical Similarity via Convolution Kernels on Dependency Trees
Danilo Croce;Alessandro Moschitti;Roberto Basili.
empirical methods in natural language processing (2011)
Identification of relevant terms to support the construction of domain ontologies
Paola Velardi;Michele Missikoff;Roberto Basili.
human language technology (2001)
Classification of musical genre: a machine learning approach.
Roberto Basili;Alfredo Serafini;Armando Stellato.
international symposium/conference on music information retrieval (2004)
A context-based model for Sentiment Analysis in Twitter
Andrea Vanzo;Danilo Croce;Roberto Basili.
international conference on computational linguistics (2014)
Parsing engineering and empirical robustness
Roberto Basili;Fabio Massimo Zanzotto.
Natural Language Engineering (2002)
KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers
Simone Filice;Danilo Croce;Alessandro Moschitti;Roberto Basili.
north american chapter of the association for computational linguistics (2016)
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