Héctor Llorens

Also published as: Hector Llorens


2015

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SemEval-2015 Task 5: QA TempEval - Evaluating Temporal Information Understanding with Question Answering
Hector Llorens | Nathanael Chambers | Naushad UzZaman | Nasrin Mostafazadeh | James Allen | James Pustejovsky
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

2013

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Recognising and Interpreting Named Temporal Expressions
Matteo Brucato | Leon Derczynski | Hector Llorens | Kalina Bontcheva | Christian S. Jensen
Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2013

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SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations
Naushad UzZaman | Hector Llorens | Leon Derczynski | James Allen | Marc Verhagen | James Pustejovsky
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)

2012

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TIMEN: An Open Temporal Expression Normalisation Resource
Hector Llorens | Leon Derczynski | Robert Gaizauskas | Estela Saquete
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

Temporal expressions are words or phrases that describe a point, duration or recurrence in time. Automatically annotating these expressions is a research goal of increasing interest. Recognising them can be achieved with minimally supervised machine learning, but interpreting them accurately (normalisation) is a complex task requiring human knowledge. In this paper, we present TIMEN, a community-driven tool for temporal expression normalisation. TIMEN is derived from current best approaches and is an independent tool, enabling easy integration in existing systems. We argue that temporal expression normalisation can only be effectively performed with a large knowledge base and set of rules. Our solution is a framework and system with which to capture this knowledge for different languages. Using both existing and newly-annotated data, we present results showing competitive performance and invite the IE community to contribute to a knowledge base in order to solve the temporal expression normalisation problem.

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Massively Increasing TIMEX3 Resources: A Transduction Approach
Leon Derczynski | Héctor Llorens | Estela Saquete
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

Automatic annotation of temporal expressions is a research challenge of great interest in the field of information extraction. Gold standard temporally-annotated resources are limited in size, which makes research using them difficult. Standards have also evolved over the past decade, so not all temporally annotated data is in the same format. We vastly increase available human-annotated temporal expression resources by converting older format resources to TimeML/TIMEX3. This task is difficult due to differing annotation methods. We present a robust conversion tool and a new, large temporal expression resource. Using this, we evaluate our conversion process by using it as training data for an existing TimeML annotation tool, achieving a 0.87 F1 measure - better than any system in the TempEval-2 timex recognition exercise.

2011

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Data-Driven Approach Using Semantics for Recognizing and Classifying TimeML Events in Italian
Tommaso Caselli | Hector Llorens | Borja Navarro-Colorado | Estela Saquete
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

2010

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TIPSem (English and Spanish): Evaluating CRFs and Semantic Roles in TempEval-2
Hector Llorens | Estela Saquete | Borja Navarro
Proceedings of the 5th International Workshop on Semantic Evaluation

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TimeML Events Recognition and Classification: Learning CRF Models with Semantic Roles
Hector Llorens | Estela Saquete | Borja Navarro-Colorado
Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)

2009

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Using Semantic Networks to Identify Temporal Expressions from Semantic Roles
Hector Llorens | Borja Navarro | Estela Saquete
Proceedings of the International Conference RANLP-2009