Membri.GaetanoRossiello History
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Gaetano Rossiello
PhD Student
University of Bari "Aldo Moro"
Department of Computer Science
Via E.Orabona, 4 - 70126 BARI, Italy
Phone: +39 080 5442298
e-mail: gaetano.rossiello[_AT_]uniba.it
Research Interests | Short CV | Summer Schools | Publications | Conferences | Tools
Main Research Interests
- Natural Language Processing
- Information Retrieval
- Recommender System
- Machine Learning
- Deep Learning
- NOVEMBER 2015 - Start the Ph.D. in Computer Science at University of Bari. My supervisor is Prof. Giovanni Semeraro.
- APRIL 2015 - I received a Master's Degree with full marks and honors in Computer Science from University of Bari. I discussed a thesis titled: ″Semantic Query Suggestion: a probabilistic query auto-completion model based on dependencies between concepts″.
- MARCH 2005 - I received a Bachelor's Degree with full marks and honors in Computer Science from University of Bari. I discussed a thesis titled: ″Personalized Relevance Feedback: a technique to introduce the user preferences into a information retrieval model″.
- LxMLS 2016. Lisbon Machine Learning School - Lisbon, Portugal
- RegML 2016. Regularization Methods for Machine Learning - Genoa, Italy
- G. Rossiello. Neural Abstractive Text Summarization. Doctoral Consortium at International Conference of the Italian Association for Artificial Intelligence. AI*IA 2016.
- G. Rossiello, P. Basile, G. Semeraro, M. Di Ciano and G. Grasso. Improving Neural Abstractive Text Summarization with Prior Knowledge. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents. URANIA 2016.
- C. Greco, A. Suglia, P. Basile, G. Rossiello and G. Semeraro. Iterative Multi-document Neural Attention for Multiple Answer Prediction. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents. URANIA 2016.
- P. Basile, A. Caputo, G. Rossiello and G. Semeraro. Learning to Rank Entity Relatedness through Embedding-Based Features. Proceedings of the 21st International conference on the Application of Natural Language to Information Systems. NLDB 2016
- P. Basile, A. Caputo, M. Di Ciano, G. Grasso, G. Rossiello and G. Semeraro. SEPIR: a SEmantic and Personalised Information Retrieval Tool for the Public Administration based on Distributional Semantics. International Journal of Electronic Governance (IJEG)
- P. Basile, A. Caputo, M. Di Ciano, G. Grasso, G. Rossiello and G. Semeraro. Distributional Semantics for Intelligent Information Access of Documents within Public Administration. I-Cities 2016
- A. Caputo, P. Basile, M. de Gemmis, P. Lops, G. Semeraro and G. Rossiello. SABRE: a Sentiment Aspect-Based Retrieval Engine. Information Filtering and Retrieval. DART 2014: Revised and Invited Papers.
- AI*IA 2016. The 15th International Conference of the Italian Association for Artificial Intelligence. 29 November 2016 - 1 December, Genoa (IT)
- URANIA 2016. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents, AI*IA 2016. 28 November 2016, Genoa (IT)
- NLDB 2016. 21st International conference on the Application of Natural Language to Information Systems. 22-24 June 2016 at the University of Salford, MediaCityUK Campus, Manchester (UK).
- FINREC 2016. 2nd International Workshop on Personalization and Recommender Systems in Financial Services. 16 June 2016, Bari (IT).
- PROMETHEUS - Prometheus is a tool for auto-completion where the queries are dynamically generated from a document collection. It is based on a Probabilistic Graphical Model, called Factor Graph, able to model the dependencies between concepts. It is useful in contexts (eg. enterprise environments) where query logs are not available.
- REDIRECT Membri.Rossiello
- AI*IA DC 2016. The 15th International Conference of the Italian Association for Artificial Intelligence. Doctoral Consortium, 29 November 2016, Genoa (IT)
- AI*IA 2016. The 15th International Conference of the Italian Association for Artificial Intelligence. 29 November 2016 - 1 December, Genoa (IT)
Conferences
- AI*IA DC 2016. The 15th International Conference of the Italian Association for Artificial Intelligence. Doctoral Consortium, 29 November 2016, Genoa (IT)
- URANIA 2016. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents, AI*IA 2016. 28 November 2016, Genoa (IT)
- NLDB 2016. 21st International conference on the Application of Natural Language to Information Systems. 22-24 June 2016 at the University of Salford, MediaCityUK Campus, Manchester (UK).
- FINREC 2016. 2nd International Workshop on Personalization and Recommender Systems in Financial Services. 16 June 2016, Bari (IT).
Conferences
- AI*IA DC 2016. The 15th International Conference of the Italian Association for Artificial Intelligence. Doctoral Consortium, 29 November 2016, Genoa (IT)
- URANIA 2016. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents, AI*IA 2016. 28 November 2016, Genoa (IT)
- NLDB 2016. 21st International conference on the Application of Natural Language to Information Systems. 22-24 June 2016 at the University of Salford, MediaCityUK Campus, Manchester (UK).
- FINREC 2016. 2nd International Workshop on Personalization and Recommender Systems in Financial Services. 16 June 2016, Bari (IT).
- PROMETHEUS - Prometheus is a tool for auto-completion where the queries are dynamically generated from a document collection. It is based on a Probabilistic Graphical Model, called Factor Graph, able to model the dependencies between concepts. It is useful in contexts (eg. enterprise environments) where query logs are not available.
- PROMETHEUS - Prometheus is a tool for auto-completion where the queries are dynamically generated from a document collection. It is based on a Probabilistic Graphical Model, called Factor Graph, able to model the dependencies between concepts. It is useful in contexts (eg. enterprise environments) where query logs are not available.
- G.Rossiello. Neural Abstractive Text Summarization. Doctoral Consortium at International Conference of the Italian Association for Artificial Intelligence. AI*IA 2016.
- G.Rossiello, P. Basile, G. Semeraro, M. Di Ciano and G. Grasso. Improving Neural Abstractive Text Summarization with Prior Knowledge. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents. URANIA 2016.
- G. Rossiello. Neural Abstractive Text Summarization. Doctoral Consortium at International Conference of the Italian Association for Artificial Intelligence. AI*IA 2016.
- G. Rossiello, P. Basile, G. Semeraro, M. Di Ciano and G. Grasso. Improving Neural Abstractive Text Summarization with Prior Knowledge. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents. URANIA 2016.
- G.Rossiello. Neural Abstractive Text Summarization. Doctoral Consortium at International Conference of the Italian Association for Artificial Intelligence. AI*IA 2016, 29 November 2016, Genova, Italy.
- G.Rossiello, P. Basile, G. Semeraro, M. Di Ciano and G. Grasso. Improving Neural Abstractive Text Summarization with Prior Knowledge. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents. URANIA 2016. AI*IA 2016, 28 November 2016, Genova, Italy
- C. Greco, A. Suglia, P. Basile, G. Rossiello and G. Semeraro. Iterative Multi-document Neural Attention for Multiple Answer Prediction. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents. URANIA 2016. AI*IA 2016, 28 November 2016, Genova, Italy
- G.Rossiello. Neural Abstractive Text Summarization. Doctoral Consortium at International Conference of the Italian Association for Artificial Intelligence. AI*IA 2016.
- G.Rossiello, P. Basile, G. Semeraro, M. Di Ciano and G. Grasso. Improving Neural Abstractive Text Summarization with Prior Knowledge. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents. URANIA 2016.
- C. Greco, A. Suglia, P. Basile, G. Rossiello and G. Semeraro. Iterative Multi-document Neural Attention for Multiple Answer Prediction. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents. URANIA 2016.
- C. Greco, A. Suglia, P. Basile, G.Rossiello and G. Semeraro. Iterative Multi-document Neural Attention for Multiple Answer Prediction. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents. URANIA 2016. AI*IA 2016, 28 November 2016, Genova, Italy
- C. Greco, A. Suglia, P. Basile, G. Rossiello and G. Semeraro. Iterative Multi-document Neural Attention for Multiple Answer Prediction. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents. URANIA 2016. AI*IA 2016, 28 November 2016, Genova, Italy
- G.Rossiello. Neural Abstractive Text Summarization. Doctoral Consortium at International Conference of the Italian Association for Artificial Intelligence .AI*IA 2016, 29 November 2016, Genova, Italy.
- G.Rossiello. Neural Abstractive Text Summarization. Doctoral Consortium at International Conference of the Italian Association for Artificial Intelligence. AI*IA 2016, 29 November 2016, Genova, Italy.
- G.Rossiello. Neural Abstractive Text Summarization. Doctoral Consortium at International Conference of the Italian Association for Artificial Intelligence .AI*IA 2016, 29 November 2016, Genova, Italy.
- G.Rossiello, P. Basile, G. Semeraro, M. Di Ciano and G. Grasso. Improving Neural Abstractive Text Summarization with Prior Knowledge. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents. URANIA 2016. AI*IA 2016, 28 November 2016, Genova, Italy
- C. Greco, A. Suglia, P. Basile, G.Rossiello and G. Semeraro. Iterative Multi-document Neural Attention for Multiple Answer Prediction. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents. URANIA 2016. AI*IA 2016, 28 November 2016, Genova, Italy
- P. Basile, A. Caputo, G. Rossiello and G. Semeraro. Learning to Rank Entity Relatedness through Embedding-Based Features. Proceedings of the 21st International conference on the Application of Natural Language to Information Systems. NLDB 2016
- P. Basile, A. Caputo, M. Di Ciano, G. Grasso, G. Rossiello and G. Semeraro. SEPIR: a SEmantic and Personalised Information Retrieval Tool for the Public Administration based on Distributional Semantics. International Journal of Electronic Governance (IJEG)
- P. Basile, A. Caputo, M. Di Ciano, G. Grasso, G. Rossiello and G. Semeraro. Distributional Semantics for Intelligent Information Access of Documents within Public Administration. I-Cities 2016
- A. Caputo, P. Basile, M. de Gemmis, P. Lops, G. Semeraro and G. Rossiello. SABRE: a Sentiment Aspect-Based Retrieval Engine. Information Filtering and Retrieval. DART 2014: Revised and Invited Papers.
- P. Basile, A. Caputo, G. Rossiello and G. Semeraro. Learning to Rank Entity Relatedness through Embedding-Based Features. Proceedings of the 21st International conference on the Application of Natural Language to Information Systems. NLDB 2016
- P. Basile, A. Caputo, M. Di Ciano, G. Grasso, G. Rossiello and G. Semeraro. SEPIR: a SEmantic and Personalised Information Retrieval Tool for the Public Administration based on Distributional Semantics. International Journal of Electronic Governance (IJEG)
- P. Basile, A. Caputo, M. Di Ciano, G. Grasso, G. Rossiello and G. Semeraro. Distributional Semantics for Intelligent Information Access of Documents within Public Administration. I-Cities 2016
- A. Caputo, P. Basile, M. de Gemmis, P. Lops, G. Semeraro and G. Rossiello. SABRE: a Sentiment Aspect-Based Retrieval Engine. Information Filtering and Retrieval. DART 2014: Revised and Invited Papers.
- A. Caputo, P. Basile, M. de Gemmis, P. Lops, G. Semeraro and G. Rossiello. SABRE: a Sentiment Aspect-Based Retrieval Engine. Information Filtering and Retrieval. DART 2014: Revised and Invited Papers. Cristian Lai, Alessandro Giuliani and Giovanni Semeraro (eds.). Springer Verlag in the series Studies in Computational Intelligence (Series Ed.: Kacprzyk, Janusz, ISSN: 1860-949X)
- A. Caputo, P. Basile, M. de Gemmis, P. Lops, G. Semeraro and G. Rossiello. SABRE: a Sentiment Aspect-Based Retrieval Engine. Information Filtering and Retrieval. DART 2014: Revised and Invited Papers.
- P. Basile, A. Caputo, M. Di Ciano, G. Grasso, G. Rossiello and G. Semeraro. SEPIR: a SEmantic and Personalised Information Retrieval Tool for the Public Administration based on Distributional Semantics. International Journal of Electronic Governance (IJEG)
- AI*IA DC 2016. The 15th International Conference of the Italian
Association for Artificial Intelligence. Doctoral Consortium, 29 November 2016, Genoa (IT)
- AI*IA DC 2016. The 15th International Conference of the Italian Association for Artificial Intelligence. Doctoral Consortium, 29 November 2016, Genoa (IT)
- NLDB 2016. 21st International conference on the Application of Natural Language to Information Systems. 22-24 June 2016, at the University of Salford, MediaCityUK Campus, Manchester (UK). Poster presentation.
- AI*IA DC 2016. The 15th International Conference of the Italian
Association for Artificial Intelligence. Doctoral Consortium, 29 November 2016, Genoa (IT)
- URANIA 2016. 1st Workshop on Deep Understanding and Reasoning: A challenge for Next-generation Intelligent Agents, AI*IA 2016. 28 November 2016, Genoa (IT)
- NLDB 2016. 21st International conference on the Application of Natural Language to Information Systems. 22-24 June 2016 at the University of Salford, MediaCityUK Campus, Manchester (UK).
- FINREC 2016. 2nd International Workshop on Personalization and Recommender Systems in Financial Services. 16 June 2016, Bari (IT).
Short CV
- NOVEMBER 2015 - Start the Ph.D. in Computer Science at University of Bari. My supervisor is Prof. Giovanni Semeraro.
- APRIL 2015 - I received a Master's Degree with full marks and honors in Computer Science from University of Bari. I discussed a thesis titled: ″Semantic Query Suggestion: a probabilistic query auto-completion model based on dependencies between concepts″.
- MARCH 2005 - I received a Bachelor's Degree with full marks and honors in Computer Science from University of Bari. I discussed a thesis titled: ″Personalized Relevance Feedback: a technique to introduce the user preferences into a information retrieval model″.
Publications
- P. Basile, A. Caputo, G. Rossiello and G. Semeraro. Learning to Rank Entity Relatedness through Embedding-Based Features. Proceedings of the 21st International conference on the Application of Natural Language to Information Systems. NLDB 2016
- P. Basile, A. Caputo, M. Di Ciano, G. Grasso, G. Rossiello and G. Semeraro. Distributional Semantics for Intelligent Information Access of Documents within Public Administration. I-Cities 2016
- A. Caputo, P. Basile, M. de Gemmis, P. Lops, G. Semeraro and G. Rossiello. SABRE: a Sentiment Aspect-Based Retrieval Engine. Information Filtering and Retrieval. DART 2014: Revised and Invited Papers. Cristian Lai, Alessandro Giuliani and Giovanni Semeraro (eds.). Springer Verlag in the series Studies in Computational Intelligence (Series Ed.: Kacprzyk, Janusz, ISSN: 1860-949X)
Publications
- P. Basile, A. Caputo, G. Rossiello and G. Semeraro. Learning to Rank Entity Relatedness through Embedding-Based Features. Proceedings of the 21st International conference on the Application of Natural Language to Information Systems. NLDB 2016
- P. Basile, A. Caputo, M. Di Ciano, G. Grasso, G. Rossiello and G. Semeraro. Distributional Semantics for Intelligent Information Access of Documents within Public Administration. I-Cities 2016
- A. Caputo, P. Basile, M. de Gemmis, P. Lops, G. Semeraro and G. Rossiello. SABRE: a Sentiment Aspect-Based Retrieval Engine. Information Filtering and Retrieval. DART 2014: Revised and Invited Papers. Cristian Lai, Alessandro Giuliani and Giovanni Semeraro (eds.). Springer Verlag in the series Studies in Computational Intelligence (Series Ed.: Kacprzyk, Janusz, ISSN: 1860-949X)
Short CV
- NOVEMBER 2015 - Start the Ph.D. in Computer Science at University of Bari. My supervisor is Prof. Giovanni Semeraro.
- APRIL 2015 - I received a Master's Degree with full marks and honors in Computer Science from University of Bari. I discussed a thesis titled: ″Semantic Query Suggestion: a probabilistic query auto-completion model based on dependencies between concepts″.
- MARCH 2005 - I received a Bachelor's Degree with full marks and honors in Computer Science from University of Bari. I discussed a thesis titled: ″Personalized Relevance Feedback: a technique to introduce the user preferences into a information retrieval model″.
Summer Schools
- LxMLS 2016. Lisbon Machine Learning School - Lisbon, Portugal
- RegML 2016. Regularization Methods for Machine Learning - Genoa, Italy
- 21st International conference on the Application of Natural Language to Information Systems - NLDB 2016. 22-24 June 2016, at the University of Salford, MediaCityUK Campus, Manchester (UK). Poster presentation.
- NLDB 2016. 21st International conference on the Application of Natural Language to Information Systems. 22-24 June 2016, at the University of Salford, MediaCityUK Campus, Manchester (UK). Poster presentation.
- P. Basile, A. Caputo, G. Rossiello and G. Semeraro. Learning to Rank Entity Relatedness through Embedding-Based Features. Proceedings of the 21st International conference on the Application of Natural Language to Information Systems. NLDB 2016
- P. Basile, A. Caputo, M. Di Ciano, G. Grasso, G. Rossiello and G. Semeraro. Distributional Semantics for Intelligent Information Access of Documents within Public Administration. I-Cities 2016
- A. Caputo, P. Basile, M. de Gemmis, P. Lops, G. Semeraro and G. Rossiello. SABRE: a Sentiment Aspect-Based Retrieval Engine. Information Filtering and Retrieval. DART 2014: Revised and Invited Papers. Cristian Lai, Alessandro Giuliani and Giovanni Semeraro (eds.). Springer Verlag in the series Studies in Computational Intelligence (Series Ed.: Kacprzyk, Janusz, ISSN: 1860-949X)
- P. Basile, A. Caputo, G. Rossiello and G. Semeraro. Learning to Rank Entity Relatedness through Embedding-Based Features. Proceedings of the 21st International conference on the Application of Natural Language to Information Systems. NLDB 2016
- P. Basile, A. Caputo, M. Di Ciano, G. Grasso, G. Rossiello and G. Semeraro. Distributional Semantics for Intelligent Information Access of Documents within Public Administration. I-Cities 2016
- A. Caputo, P. Basile, M. de Gemmis, P. Lops, G. Semeraro and G. Rossiello. SABRE: a Sentiment Aspect-Based Retrieval Engine. Information Filtering and Retrieval. DART 2014: Revised and Invited Papers. Cristian Lai, Alessandro Giuliani and Giovanni Semeraro (eds.). Springer Verlag in the series Studies in Computational Intelligence (Series Ed.: Kacprzyk, Janusz, ISSN: 1860-949X)
Conferences
- 21st International conference on the Application of Natural Language to Information Systems - NLDB 2016. 22-24 June 2016, at the University of Salford, MediaCityUK Campus, Manchester (UK). Poster presentation.
http://i.imgur.com/0n9fJnx.jpg
Gaetano Rossiello
PhD Student
University of Bari "Aldo Moro"
Department of Computer Science
Via E.Orabona, 4 - 70126 BARI, Italy
Phone: +39 080 5442298
e-mail: gaetano.rossiello[_AT_]uniba.it
Research Interests | Short CV | Publications | Tools
Main Research Interests
- Natural Language Processing
- Information Retrieval
- Recommender System
- Machine Learning
- Deep Learning
Short CV
- NOVEMBER 2015 - Start the Ph.D. in Computer Science at University of Bari. My supervisor is Prof. Giovanni Semeraro.
- APRIL 2015 - I received a Master's Degree with full marks and honors in Computer Science from University of Bari. I discussed a thesis titled: ″Semantic Query Suggestion: a probabilistic query auto-completion model based on dependencies between concepts″.
- MARCH 2005 - I received a Bachelor's Degree with full marks and honors in Computer Science from University of Bari. I discussed a thesis titled: ″Personalized Relevance Feedback: a technique to introduce the user preferences into a information retrieval model″.
Publications
- P. Basile, A. Caputo, G. Rossiello and G. Semeraro. Learning to Rank Entity Relatedness through Embedding-Based Features. Proceedings of the 21st International conference on the Application of Natural Language to Information Systems. NLDB 2016
- P. Basile, A. Caputo, M. Di Ciano, G. Grasso, G. Rossiello and G. Semeraro. Distributional Semantics for Intelligent Information Access of Documents within Public Administration. I-Cities 2016
- A. Caputo, P. Basile, M. de Gemmis, P. Lops, G. Semeraro and G. Rossiello. SABRE: a Sentiment Aspect-Based Retrieval Engine. Information Filtering and Retrieval. DART 2014: Revised and Invited Papers. Cristian Lai, Alessandro Giuliani and Giovanni Semeraro (eds.). Springer Verlag in the series Studies in Computational Intelligence (Series Ed.: Kacprzyk, Janusz, ISSN: 1860-949X)
Tools
- PROMETHEUS - Prometheus is a tool for auto-completion where the queries are dynamically generated from a document collection. It is based on a Probabilistic Graphical Model, called Factor Graph, able to model the dependencies between concepts. It is useful in contexts (eg. enterprise environments) where query logs are not available.