Lluís-F. Hurtado

Also published as: LLuís-F. Hurtado, Lluís F. Hurtado


2019

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ELiRF-UPV at SemEval-2019 Task 3: Snapshot Ensemble of Hierarchical Convolutional Neural Networks for Contextual Emotion Detection
José-Ángel González | Lluís-F. Hurtado | Ferran Pla
Proceedings of the 13th International Workshop on Semantic Evaluation

This paper describes the approach developed by the ELiRF-UPV team at SemEval 2019 Task 3: Contextual Emotion Detection in Text. We have developed a Snapshot Ensemble of 1D Hierarchical Convolutional Neural Networks to extract features from 3-turn conversations in order to perform contextual emotion detection in text. This Snapshot Ensemble is obtained by averaging the models selected by a Genetic Algorithm that optimizes the evaluation measure. The proposed ensemble obtains better results than a single model and it obtains competitive and promising results on Contextual Emotion Detection in Text.

2018

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ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in Tweets
José-Ángel González | Lluís-F. Hurtado | Ferran Pla
Proceedings of The 12th International Workshop on Semantic Evaluation

This paper describes the participation of ELiRF-UPV team at tasks 1 and 3 of Semeval-2018. We present a deep learning based system that assembles Convolutional Neural Networks and Long Short-Term Memory neural networks. This system has been used with slight modifications for the two tasks addressed both for English and Spanish. Finally, the results obtained in the competition are reported and discussed.

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ELiRF-UPV at SemEval-2018 Task 10: Capturing Discriminative Attributes with Knowledge Graphs and Wikipedia
José-Ángel González | Lluís-F. Hurtado | Encarna Segarra | Ferran Pla
Proceedings of The 12th International Workshop on Semantic Evaluation

This paper describes the participation of ELiRF-UPV team at task 10, Capturing Discriminative Attributes, of SemEval-2018. Our best approach consists of using ConceptNet, Wikipedia and NumberBatch embeddings in order to stablish relationships between concepts and attributes. Furthermore, this system achieves competitive results in the official evaluation.

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ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge
José-Ángel González | Lluís-F. Hurtado | Encarna Segarra | Ferran Pla
Proceedings of The 12th International Workshop on Semantic Evaluation

This paper describes the participation of ELiRF-UPV team at task 11, Machine Comprehension using Commonsense Knowledge, of SemEval-2018. Our approach is based on the use of word embeddings, NumberBatch Embeddings, and a Deep Learning architecture to find the best answer for the multiple-choice questions based on the narrative text. The results obtained are in line with those obtained by the other participants and they encourage us to continue working on this problem.

2017

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ELiRF-UPV at SemEval-2017 Task 7: Pun Detection and Interpretation
Lluís-F. Hurtado | Encarna Segarra | Ferran Pla | Pascual Carrasco | José-Ángel González
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

This paper describes the participation of ELiRF-UPV team at task 7 (subtask 2: homographic pun detection and subtask 3: homographic pun interpretation) of SemEval2017. Our approach is based on the use of word embeddings to find related words in a sentence and a version of the Lesk algorithm to establish relationships between synsets. The results obtained are in line with those obtained by the other participants and they encourage us to continue working on this problem.

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ELiRF-UPV at SemEval-2017 Task 4: Sentiment Analysis using Deep Learning
José-Ángel González | Ferran Pla | Lluís-F. Hurtado
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

This paper describes the participation of ELiRF-UPV team at task 4 of SemEval2017. Our approach is based on the use of convolutional and recurrent neural networks and the combination of general and specific word embeddings with polarity lexicons. We participated in all of the proposed subtasks both for English and Arabic languages using the same system with small variations.

2016

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DSIC-ELIRF at SemEval-2016 Task 4: Message Polarity Classification in Twitter using a Support Vector Machine Approach
Víctor Martinez Morant | LLuís-F. Hurtado | Ferran Pla
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)

2015

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ELiRF: A SVM Approach for SA tasks in Twitter at SemEval-2015
Mayte Giménez | Ferran Pla | Lluís-F. Hurtado
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

2014

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Political Tendency Identification in Twitter using Sentiment Analysis Techniques
Ferran Pla | Lluís-F. Hurtado
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

2013

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Exploiting multiple hypotheses for Multilingual Spoken Language Understanding
Marcos Calvo | Fernando García | Lluís-F. Hurtado | Santiago Jiménez | Emilio Sanchis
Proceedings of the Seventeenth Conference on Computational Natural Language Learning

2012

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The acquisition and dialog act labeling of the EDECAN-SPORTS corpus
Lluís-F. Hurtado | Fernando García | Emilio Sanchis | Encarna Segarra
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

In this paper, we present the acquisition and labeling processes of the EDECAN-SPORTS corpus, which is a corpus that is oriented to the development of multimodal dialog systems acquired in Spanish and Catalan. Two Wizards of Oz were used in order to better simulate the behavior of an actual system in terms of both the information used by the different modules and the communication mechanisms between these modules. User and system dialog-act labeling, as well as other information, have been obtained automatically using this acquisition method Some preliminary experimental results with the acquired corpus show the appropriateness of the proposed acquisition method for the development of dialog systems

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A Methodology for Obtaining Concept Graphs from Word Graphs
Marcos Calvo | Jon Ander Gómez | Lluís-F. Hurtado | Emilio Sanchis
Proceedings of the 10th International Workshop on Finite State Methods and Natural Language Processing

2008

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Acquisition and Evaluation of a Dialog Corpus through WOz and Dialog Simulation Techniques
David Griol | Lluís F. Hurtado | Encarna Segarra | Emilio Sanchis
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

In this paper, we present a comparison between two corpora acquired by means of two different techniques. The first corpus was acquired by means of the Wizard of Oz technique. A dialog simulation technique has been developed for the acquisition of the second corpus. A random selection of the user and system turns has been used, defining stop conditions for automatically deciding if the simulated dialog is successful or not. We use several evaluation measures proposed in previous research to compare between our two acquired corpora, and then discuss the similarities and differences between the two corpora with regard to these measures.