Conference Papers


2009

Poveda, J. and Surdeanu, M. and Turmo, J. An Analysis of Bootstrapping for the Recognition of Temporal Expressions. In Proc. of the NAACL-HLT 2009 Workshop on Semi-supervised Learning for Natural Language Processing, pp. 49—57. Boulder, Colorado (USA), June 2009. Association for Computational Linguistics (ACL). [pdf] [slides]

2007

Poveda, J. and Surdeanu, M. and Turmo, J. A Comparison of Statistical and Rule-Induction Learners for Automatic Tagging of Time Expressions in English. In Proc. of the 14th International Symposium on Temporal Representation and Reasoning (TIME 2007), pp. 141—149. Alicante (Spain), June 2007. IEEE Computer Society. [pdf] [slides]

2006

Poveda, J. and Vellido, A. Neural Network Models for Language Acquisition: A Brief Survey. In Proc. of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2006). LNCS Vol. 4224, pp. 1346—1357. Burgos (Spain), September 2006. Springer. [pdf] [slides]

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Technical Reports


2007

Poveda, J. and Surdeanu, M. and Turmo, J. A Bootstrapping Architecture for Time Expression Recognition in Unlabelled Corpora via Syntactic-Semantic Patterns. Technical Report LSI-07-25-R (LSI Dept., UPC). June 2007. [pdf]

Poveda, J. and Turmo, J. Inductive Logic Programming and Its Application to the Temporal Expression Chunking Problem. Technical Report LSI-07-5-R (LSI Dept., UPC). January 2007. [pdf]

2006

Poveda, J. and Surdeanu, M. SVMs for the Temporal Expression Chunking Problem. Technical Report LSI-06-37-R (LSI Dept., UPC). December 2006. [pdf]

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Seminar talks


2008

Seminar talk for the NLP group @ University of Sheffield, 14th October 2008:
Poveda, J. A Combination of Machine Learning Methods for the Recognition of Temporal Expressions. [pdf]

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Thesis-related stuff


2008

Poveda, J. A Combination of Machine Learning Methods for the Recognition of Temporal Expressions. Thesis Project (Thesis Proposal). January 2008. [pdf]

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Other (pre-Ph.D. work)


Master's Dissertation (Automatic Video Summarisation)

My dissertation paper for the degree of MSc in Multimedia Computing at Brunel University of West London. It is in the topic of Video Summarization, in particular, a combination of navigation records from users and a genetic algorithm is utilised to automatically build a skim (i.e. summary in the form of a succession of video segments) from a video. The navigational information is used as a supervised measure of relevance for the different video segments, while the genetic algorithm optimizes a function that integrates this relevance alongside other desirable criteria for a video summary.

Poveda, J. Automated Video Summarization from AI-Based Extraction of User Video Browsing Patterns. Master Dissertation. Dept. of Information Systems and Computing, Brunel University of West London. September 2005. [pdf]

Degree Project (Cryptography Service for Mobile Agents)

The written report of my end-of-degree project for my Computer Engineering degree (Bachelor's), in Catalan. It describes the design and implementation of a cryptography service for a mobile agents platform in the JAVA programming language. Relevant keywords are: encryption and decryption algorithms, digital signatures and digital envelopes.

Poveda, J. Servei de Criptografia per la Plataforma d'Agents Mòbils JADE/MARISMA. Computer Science Dept., Universitat Autònoma de Barcelona (UAB). June 2003. [ps] [slides (PowerPoint)]

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