Pablo Gervás

Also published as: P. Gervás


2018

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Adapting Descriptions of People to the Point of View of a Moving Observer
Gonzalo Méndez | Raquel Hervás | Pablo Gervás | Ricardo de la Rosa | Daniel Ruiz
Proceedings of the 11th International Conference on Natural Language Generation

This paper addresses the task of generating descriptions of people for an observer that is moving within a scene. As the observer moves, the descriptions of the people around him also change. A referring expression generation algorithm adapted to this task needs to continuously monitor the changes in the field of view of the observer, his relative position to the people being described, and the relative position of these people to any landmarks around them, and to take these changes into account in the referring expressions generated. This task presents two advantages: many of the mechanisms already available for static contexts may be applied with small adaptations, and it introduces the concept of changing conditions into the task of referring expression generation. In this paper we describe the design of an algorithm that takes these aspects into account in order to create descriptions of people within a 3D virtual environment. The evaluation of this algorithm has shown that, by changing the descriptions in real time according to the observers point of view, they are able to identify the described person quickly and effectively.

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Content Determination for Chess as a Source for Suspenseful Narratives
Richard Doust | Pablo Gervás
Proceedings of the 3rd Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2018)

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Generating Stories Using Role-playing Games and Simulated Human-like Conversations
Alan Tapscott | Carlos León | Pablo Gervás
Proceedings of the 3rd Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2018)

2017

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Template-Free Construction of Rhyming Poems with Thematic Cohesion
Pablo Gervás
Proceedings of the Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2017)

2016

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Proceedings of the INLG 2016 Workshop on Computational Creativity in Natural Language Generation
Matthew Purver | Pablo Gervás | Sascha Griffiths
Proceedings of the INLG 2016 Workshop on Computational Creativity in Natural Language Generation

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Empirical Determination of Basic Heuristics for Narrative Content Planning
Pablo Gervás
Proceedings of the INLG 2016 Workshop on Computational Creativity in Natural Language Generation

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Mining Knowledge in Storytelling Systems for Narrative Generation
Eugenio Concepción | Pablo Gervás | Gonzalo Méndez
Proceedings of the INLG 2016 Workshop on Computational Creativity in Natural Language Generation

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A Challenge Proposal for Narrative Generation Using CNLs
Eugenio Concepción | Gonzalo Méndez | Pablo Gervás | Carlos León
Proceedings of the 9th International Natural Language Generation conference

2013

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A System for the Simplification of Numerical Expressions at Different Levels of Understandability
Susana Bautista | Raquel Hervás | Pablo Gervás | Richard Power | Sandra Williams
Proceedings of the Workshop on Natural Language Processing for Improving Textual Accessibility

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Narrative Composition: Achieving the Perceived Linearity of Narrative
Pablo Gervás
Proceedings of the 14th European Workshop on Natural Language Generation

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.

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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)

2011

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Experimental Identification of the Use of Hedges in the Simplification of Numerical Expressions
Susana Bautista | Raquel Hervás | Pablo Gervás | Richard Power | Sandra Williams
Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies

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A Proposal for a Spanish Surface Realization Shared Task
Pablo Gervás | Miguel Ballesteros
Proceedings of the 13th European Workshop on Natural Language Generation

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UCM Submission to the Surface Realization Challenge
Pablo Gervás
Proceedings of the 13th European Workshop on Natural Language Generation

2010

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Engineering Linguistic Creativity: Bird Flight and Jet Planes
Pablo Gervás
Proceedings of the NAACL HLT 2010 Second Workshop on Computational Approaches to Linguistic Creativity

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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.

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Integration of Linguistic Markup into Semantic Models of Folk Narratives: The Fairy Tale Use Case
Piroska Lendvai | Thierry Declerck | Sándor Darányi | Pablo Gervás | Raquel Hervás | Scott Malec | Federico Peinado
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

Propp's influential structural analysis of fairy tales created a powerful schema for representing storylines in terms of character functions, which is directly exploitable for computational semantic analysis, and procedural generation of stories of this genre. We tackle two resources that draw on the Proppian model - one formalizes it as a semantic markup scheme and the other as an ontology -, both lacking linguistic phenomena explicitly represented in them. The need for integrating linguistic information into structured semantic resources is motivated by the emergence of suitable standards that facilitate this, as well as the benefits such joint representation would create for transdisciplinary research across Digital Humanities, Computational Linguistics, and Artificial Intelligence.

2009

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A Model for Human Readable Instruction Generation Using Level-Based Discourse Planning and Dynamic Inference of Attributes
Daniel Dionne | Salvador de la Puente | Carlos León | Pablo Gervás | Raquel Hervás
Proceedings of the 12th European Workshop on Natural Language Generation (ENLG 2009)

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Evolutionary and Case-Based Approaches to REG: NIL-UCM-EvoTAP, NIL-UCM-ValuesCBR and NIL-UCM-EvoCBR
Raquel Hervás | Pablo Gervás
Proceedings of the 12th European Workshop on Natural Language Generation (ENLG 2009)

2008

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Degree of Abstraction in Referring Expression Generation and its Relation with the Construction of the Contrast Set
Raquel Hervás | Pablo Gervás
Proceedings of the Fifth International Natural Language Generation Conference

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NIL-UCM: Most-Frequent-Value-First Attribute Selection and Best-Scoring-Choice Realization
Pablo Gervás | Raquel Hervás | Carlos León
Proceedings of the Fifth International Natural Language Generation Conference

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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

2007

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NIL: attribute selection for matching the task corpus using relative attribute groupings obtained from the test data
Raquel Hervás | Pablo Gervás
Proceedings of the Workshop on Using corpora for natural language generation

2005

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An Evolutionary Approach to Referring Expression Generation and Aggregation
Raquel Hervás | Pablo Gervás
Proceedings of the Tenth European Workshop on Natural Language Generation (ENLG-05)

2004

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Converting Mikrokosmos Frames into Description Logics
Pablo Beltrán-Ferruz | P.A. González-Calero | P. Gervás
Proceeedings of the Workshop on NLP and XML (NLPXML-2004): RDF/RDFS and OWL in Language Technology