Patricio Martínez-Barco

Also published as: P. Martínez-Barco, Patricio Martinez Barco, Patricio Martinez-Barco


2017

pdf bib
Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation
Elena Lloret | Ester Boldrini | Patricio Martínez-Barco | Manuel Palomar
Proceedings of the MultiLing 2017 Workshop on Summarization and Summary Evaluation Across Source Types and Genres

The electronic Word of Mouth has become the most powerful communication channel thanks to the wide usage of the Social Media. Our research proposes an approach towards the production of automatic ultra-concise summaries from multiple Web 2.0 sources. We exploit user-generated content from reviews and microblogs in different domains, and compile and analyse four types of ultra-concise summaries: a)positive information, b) negative information; c) both or d) objective information. The appropriateness and usefulness of our model is demonstrated by its successful results and great potential in real-life applications, thus meaning a relevant advancement of the state-of-the-art approaches.

pdf bib
Towards the Improvement of Automatic Emotion Pre-annotation with Polarity and Subjective Information
Lea Canales | Walter Daelemans | Ester Boldrini | Patricio Martínez-Barco
Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017

Emotion detection has a high potential positive impact on the benefit of business, society, politics or education. Given this, the main objective of our research is to contribute to the resolution of one of the most important challenges in textual emotion detection: emotional corpora annotation. This will be tackled by proposing a semi-automatic methodology. It consists in two main phases: (1) an automatic process to pre-annotate the unlabelled sentences with a reduced number of emotional categories; and (2) a manual process of refinement where human annotators will determine which is the dominant emotion between the pre-defined set. Our objective in this paper is to show the pre-annotation process, as well as to evaluate the usability of subjective and polarity information in this process. The evaluation performed confirms clearly the benefits of employing the polarity and subjective information on emotion detection and thus endorses the relevance of our approach.

pdf bib
Opinion Mining in Social Networks versus Electoral Polls
Javi Fernández | Fernando Llopis | Yoan Gutiérrez | Patricio Martínez-Barco | Álvaro Díez
Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017

The recent failures of traditional poll models, like the predictions in United Kingdom with the Brexit, or in United States presidential elections with the victory of Donald Trump, have been noteworthy. With the decline of traditional poll models and the growth of the social networks, automatic tools are gaining popularity to make predictions in this context. In this paper we present our approximation and compare it with a real case: the 2017 French presidential election.

2016

pdf bib
Innovative Semi-Automatic Methodology to Annotate Emotional Corpora
Lea Canales | Carlo Strapparava | Ester Boldrini | Patricio Martínez-Barco
Proceedings of the Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES)

Detecting depression or personality traits, tutoring and student behaviour systems, or identifying cases of cyber-bulling are a few of the wide range of the applications, in which the automatic detection of emotion is a crucial element. Emotion detection has the potential of high impact by contributing the benefit of business, society, politics or education. Given this context, the main objective of our research is to contribute to the resolution of one of the most important challenges in textual emotion detection task: the problems of emotional corpora annotation. This will be tackled by proposing of a new semi-automatic methodology. Our innovative methodology consists in two main phases: (1) an automatic process to pre-annotate the unlabelled sentences with a reduced number of emotional categories; and (2) a refinement manual process where human annotators will determine which is the predominant emotion between the emotional categories selected in the phase 1. Our proposal in this paper is to show and evaluate the pre-annotation process to analyse the feasibility and the benefits by the methodology proposed. The results obtained are promising and allow obtaining a substantial improvement of annotation time and cost and confirm the usefulness of our pre-annotation process to improve the annotation task.

2014

pdf bib
A Supervised Approach for Sentiment Analysis using Skipgrams
Javi Fernández | José M. Gómez | Patricio Martínez-Barco
Proceedings of the Workshop on Natural Language Processing in the 5th Information Systems Research Working Days (JISIC)

pdf bib
Emotion Detection from text: A Survey
Lea Canales | Patricio Martínez-Barco
Proceedings of the Workshop on Natural Language Processing in the 5th Information Systems Research Working Days (JISIC)

pdf bib
GPLSI: Supervised Sentiment Analysis in Twitter using Skipgrams
Javi Fernández | Yoan Gutiérrez | Jose Manuel Gómez | Patricio Martínez-Barco
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

2012

pdf bib
Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
Alexandra Balahur | Andres Montoyo | Patricio Martinez Barco | Ester Boldrini
Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis

2011

pdf bib
Evaluating the Robustness of EmotiBlog for Sentiment Analysis and Opinion Mining
Ester Boldrini | Javi Fernández | José Manuel Gómez | Patricio Martínez-Barco
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

pdf bib
Hybrid System For Plagiarism Detection
Javier R. Bru | Patricio Martínez-Barco | Rafael Muñoz
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

pdf bib
Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2.011)
Alexandra Balahur | Ester Boldrini | Andres Montoyo | Patricio Martinez-Barco
Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2.011)

pdf bib
EMOCause: An Easy-adaptable Approach to Extract Emotion Cause Contexts
Irene Russo | Tommaso Caselli | Francesco Rubino | Ester Boldrini | Patricio Martínez-Barco
Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2.011)

2010

pdf bib
Going Beyond Traditional QA Systems: Challenges and Keys in Opinion Question Answering
Alexandra Balahur | Ester Boldrini | Andrés Montoyo | Patricio Martínez-Barco
Coling 2010: Posters

pdf bib
EmotiBlog: A Finer-Grained and More Precise Learning of Subjectivity Expression Models
Ester Boldrini | Alexandra Balahur | Patricio Martínez-Barco | Andrés Montoyo
Proceedings of the Fourth Linguistic Annotation Workshop

2009

pdf bib
Summarizing Threads in Blogs Using Opinion Polarity
Alexandra Balahur | Elena Lloret | Ester Boldrini | Andrés Montoyo | Manuel Palomar | Patricio Martínez-Barco
Proceedings of the Workshop on Events in Emerging Text Types

pdf bib
A Comparative Study of Open Domain and Opinion Question Answering Systems for Factual and Opinionated Queries
Alexandra Balahur | Ester Boldrini | Andrés Montoyo | Patricio Martínez-Barco
Proceedings of the International Conference RANLP-2009

pdf bib
Opinion and Generic Question Answering Systems: a Performance Analysis
Alexandra Balahur | Ester Boldrini | Andrés Montoyo | Patricio Martínez-Barco
Proceedings of the ACL-IJCNLP 2009 Conference Short Papers

2006

pdf bib
Evaluating Knowledge-based Approaches to the Multilingual Extension of a Temporal Expression Normalizer
Matteo Negri | Estela Saquete | Patricio Martínez-Barco | Rafael Muñoz
Proceedings of the Workshop on Annotating and Reasoning about Time and Events

pdf bib
Multilingual Extension of a Temporal Expression Normalizer using Annotated Corpora
E. Saquete | P. Martínez-Barco | R. Muñoz | M. Negri | M. Speranza | R. Sprugnoli
Proceedings of the Cross-Language Knowledge Induction Workshop

2004

pdf bib
Automatic Extraction of Syntactic Semantic Patterns for Multilingual Resources
Borja Navarro | Manuel Palomar | Patricio Martínez-Barco
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

pdf bib
Splitting Complex Temporal Questions for Question Answering Systems
E. Saquete | P. Martínez-Barco | R. Muñoz | J.L. Vicedo
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-04)

2002

pdf bib
Bilingual alignment of anaphoric expressions
R. Muñoz | R. Mitkov | M. Palomar | J. Peral | R. Evans | L. Moreno | C. Orasan | M. Saiz-Noeda | A. Ferrández | C. Barbu | P. Martínez-Barco | A. Suárez
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

2001

pdf bib
An Algorithm for Anaphora Resolution in Spanish Texts
Manuel Palomar | Antonio Ferrández | Lidia Moreno | Patricio Martínez-Barco | Jesús Peral | Maximiliano Saiz-Noeda | Rafael Muñoz
Computational Linguistics, Volume 27, Number 4, December 2001

2000

pdf bib
Grammar specification for the recognition of temporal expressions
Estela Saquete | Patricio Martínez-Barco
Proceedings of the International Conference on Machine Translation and Multilingual Applications in the new Millennium: MT 2000