Laura Plaza


2012

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UCM-I: A Rule-based Syntactic Approach for Resolving the Scope of Negation
Jorge Carrillo de Albornoz | Laura Plaza | Alberto Díaz | Miguel Ballesteros
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)

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UCM-2: a Rule-Based Approach to Infer the Scope of Negation via Dependency Parsing
Miguel Ballesteros | Alberto Díaz | Virginia Francisco | Pablo Gervás | Jorge Carrillo de Albornoz | Laura Plaza
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)

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SentiSense: An easily scalable concept-based affective lexicon for sentiment analysis
Jorge Carrillo de Albornoz | Laura Plaza | Pablo Gervás
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

This paper presents SentiSense, a concept-based affective lexicon. It is intended to be used in sentiment analysis-related tasks, specially in polarity and intensity classification and emotion identification. SentiSense attaches emotional meanings to concepts from the WordNet lexical database, instead of terms, thus allowing to address the word ambiguity problem using one of the many WordNet-based word sense disambiguation algorithms. SentiSense consists of 5,496 words and 2,190 synsets labeled with an emotion from a set of 14 emotional categories, which are related by an antonym relationship. SentiSense has been developed semi-automatically using several semantic relations between synsets in WordNet. SentiSense is endowed with a set of tools that allow users to visualize the lexicon and some statistics about the distribution of synsets and emotions in SentiSense, as well as to easily expand the lexicon. SentiSense is available for research purposes.

2011

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Multi-Document Summarization by Capturing the Information Users are Interested in
Elena Lloret | Laura Plaza | Ahmet Aker
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

2010

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Improving Summarization of Biomedical Documents Using Word Sense Disambiguation
Laura Plaza | Mark Stevenson | Alberto Díaz
Proceedings of the 2010 Workshop on Biomedical Natural Language Processing

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A Hybrid Approach to Emotional Sentence Polarity and Intensity Classification
Jorge Carrillo de Albornoz | Laura Plaza | Pablo Gervás
Proceedings of the Fourteenth Conference on Computational Natural Language Learning

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Development and Use of an Evaluation Collection for Personalisation of Digital Newspapers
Alberto Díaz | Pablo Gervás | Antonio García | Laura Plaza
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

This paper presents the process of development and the characteristics of an evaluation collection for a personalisation system for digital newspapers. This system selects, adapts and presents contents according to a user model that define information needs. The collection presented here contains data that are cross-related over four different axes: a set of news items from an electronic newspaper, collected into subsets corresponding to a particular sequence of days, packaged together and cross-indexed with a set of user profiles that represent the particular evolution of interests of a set of real users over the given days, expressed in each case according to four different representation frameworks: newspaper sections, Yahoo categories, keywords, and relevance feedback over the set of news items for the previous day. This information provides a minimum starting material over which one can evaluate for a given system how it addresses the first two observations - adapting to different users and adapting to particular users over time - providing that the particular system implements the representation of information needs according to the four frameworks employed in the collection. This collection has been successfully used to perform some different experiments to determine the effectiveness of the personalization system presented.

2008

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Concept-Graph Based Biomedical Automatic Summarization Using Ontologies
Laura Plaza | Alberto Díaz | Pablo Gervás
Coling 2008: Proceedings of the 3rd Textgraphs workshop on Graph-based Algorithms for Natural Language Processing