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.
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November 18, 2016, at 12:39 PM EST
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- AI*IA DC 2016. The 15th International Conference of the Italian Association for Artificial Intelligence. Doctoral Consortium, 29 November 2016, Genoa (IT)
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- AI*IA 2016. The 15th International Conference of the Italian Association for Artificial Intelligence. 29 November 2016 - 1 December, Genoa (IT)
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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).
November 18, 2016, at 07:20 AM EST
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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).
November 18, 2016, at 07:14 AM EST
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- 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.
to:
- 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.
November 18, 2016, at 06:56 AM EST
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- 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.
to:
- 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.
November 18, 2016, at 06:53 AM EST
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November 18, 2016, at 06:53 AM EST
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- 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
to:
- 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.
November 18, 2016, at 06:52 AM EST
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- 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
to:
- 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
November 18, 2016, at 06:43 AM EST
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- 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.
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- 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.
November 18, 2016, at 06:42 AM EST
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- 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
November 18, 2016, at 06:36 AM EST
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- 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.
to:
- 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.
November 18, 2016, at 06:34 AM EST
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- 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)
to:
- 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.
November 18, 2016, at 06:33 AM EST
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- 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)
November 18, 2016, at 06:29 AM EST
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- AI*IA DC 2016. The 15th International Conference of the Italian
Association for Artificial Intelligence. Doctoral Consortium, 29 November 2016, Genoa (IT)
to:
- AI*IA DC 2016. The 15th International Conference of the Italian Association for Artificial Intelligence. Doctoral Consortium, 29 November 2016, Genoa (IT)
November 18, 2016, at 06:28 AM EST
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- 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.
to:
- 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).
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September 10, 2016, at 12:01 PM EST
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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″.
Added lines 50-60:
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)
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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)
to:
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″.
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Summer Schools
- LxMLS 2016. Lisbon Machine Learning School - Lisbon, Portugal
- RegML 2016. Regularization Methods for Machine Learning - Genoa, Italy
Changed line 65 from:
- 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.
to:
- 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.
September 10, 2016, at 11:55 AM EST
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Changed lines 47-52 from:
- 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)
to:
- 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.
September 10, 2016, at 11:47 AM EST
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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.