Martínez Estrada : Un recorrido textual

Quienes han sido seguidores de la obra de Ezequiel Martínez Estrada (1895-1964) pueden advertir que son numerosos los estudios acerca de él y de su obra, pero creemos que la validación de sus textos reside en su perdurabilidad. Por esta razón debe seguir estudiándoselo a la luz de las incitaciones críticas recientes que en este caso devienen en cuestiones geneticistas. Es a partir de los pre-textos que obran en la Fundación Martínez Estrada y de los artículos y obras éditas del autor, que podemos observar el proceso de escritura desde la mirada de la crítica genética. La importancia de las investigaciones de genética textual en los archivos de grandes escritores contribuye a proporcionar un ámbito de reflexión concreto sobre los objetivos y métodos de la crítica genética, los cuales arrojan luz sobre los procesos de creación. De este modo, el estudio de un caso particular de escritura en un autor fundamental para pensar la tradición ensayística argentina nos permite dar cuenta de que una de las regularidades en las reescrituras que Martínez Estrada realiza sobre el Sarmiento se relacionan con la tensión entre la modernidad y la identidad

DAEDALUS at ImageCLEF Medical Retrieval 2011: Textual, Visual and Multimodal Experiments

This paper describes the participation of DAEDALUS at ImageCLEF 2011 Medical Retrieval task. We have focused on multimodal (or mixed) experiments that combine textual and visual retrieval. The main objective of our research has been to evaluate the effect on the medical retrieval process of the existence of an extended corpus that is annotated with the image type, associated to both the image itself and also to its textual description. For this purpose, an image classifier has been developed to tag each document with its class (1st level of the hierarchy: Radiology, Microscopy, Photograph, Graphic, Other) and subclass (2nd level: AN, CT, MR, etc.). For the textual-based experiments, several runs using different semantic expansion techniques have been performed. For the visual-based retrieval, different runs are defined by the corpus used in the retrieval process and the strategy for obtaining the class and/or subclass. The best results are achieved in runs that make use of the image subclass based on the classification of the sample images. Although different multimodal strategies have been submitted, none of them has shown to be able to provide results that are at least comparable to the ones achieved by the textual retrieval alone. We believe that we have been unable to find a metric for the assessment of the relevance of the results provided by the visual and textual processes

The role of visualizations in urban forestry. Conclusions from managers’ perspectives

La presente tesis examina el uso potencial y actual de las técnicas de simulación visual aplicadas al campo de la gestión y la planificación del arbolado urbano. El estudio incluye las aplicaciones potenciales de las visualizaciones por ordenador, así como los beneficios que esto acarrearía. También se analizan las posibles barreras que surgirían de la implementación de esta nueva herramienta y se ofrece una lista de recomendaciones para superarlas. La investigación tiene un carácter exploratorio que utiliza una combinación de técnicas de investigación cuantitativas y cualitativas, dónde se emplean cuestionarios y entrevistas personales semi-estructuradas para estudiar y analizar las opiniones y reacciones de los gestores de arbolado urbano de los distritos de la ciudad de Londres (Reino Unido), denominados Tree Officers (LTOs). Para el desarrollo de la tesis se recopilaron y analizaron las respuestas al cuestionario del 41 por ciento de los LTOs pertenecientes al 88 por ciento de los distritos de Londres y se realizaron un total de 17 entrevistas personales. Los resultados del análisis estadístico de las respuestas del cuestionario y los análisis cruzados de las distintas variables se complementaron con las conclusiones obtenidas del análisis temático de los datos cualitativos recopilados durante las entrevistas. Los usos potenciales de las técnicas de simulación visual aplicadas a la gestión y planificación del arbolado urbano sugeridos fueron obtenidos combinado las conclusiones de, primero, la comparación de las cuestiones que los LTOs consideraron que más tiempo y recursos necesitaban y que actualmente no era posible resolverlas satisfactoriamente con las herramientas y los procesos disponibles, con la información acerca de cómo se habían empleado las visualizaciones en situaciones similares en otros campos tales como planificación urbano, el paisajismo o la gestión forestal. Segundo, se analizaron las reacciones y opiniones de los LTOs ante un conjunto de visualizaciones presentadas durante las entrevistas, desarrolladas ad hoc para mostrar un abanico representativo de ejemplos de utilización de las técnicas de simulación visual, que, a su vez se complementaron con los usos adicionales que los propios LTOs sugirieron tras ver las visualizaciones presentadas. Los resultados muestran que el uso actual de simulaciones visuales por parte de los LTOs es muy limitado pero si que reciben un gran número de visualizaciones de otros departamentos y como parte de la documentación presentada en las solicitudes de permisos para edificación o desarrollo urbanístico. Los resultados indican que las visualizaciones que son presentadas a los LTOs no son objetivas ni precisas por lo que se argumenta que esta situación es un factor importante que impide una toma de decisiones adecuada y una correcta transmisión de infracción al público y al resto de partes implicadas. Se sugiere la creación de un código que regule el uso de visualizaciones en el campo de la gestión y planificación del arbolado urbano. ABSTRACT This thesis examined the use of computer visualizations in urban forestry management and planning. Potential roles of visualizations were determined the benefits that its use would provide. Additionally, the possible barriers in the implementation of visualizations in urban forestry management and planning were also studied and recommendations on how to overcome them were provided The research conducted was an exploratory study using survey research methods and personal semi-structured interviews. The perspectives and reactions of London (UK) boroughs’ tree officers (LTOs) were analysed combining quantitative and qualitative research methods. The study surveyed 41 percent of all Tree Officers in London, obtaining responses from 88 percent of the boroughs and performed 17 personal interviews. Statistical analysis of the data and cross-variables analysis provided rich information that was then complemented with the conclusions from thematic analysis of the qualitative data from the interviews. Potential roles of visualizations were determined first by understanding the challenges that LTOs are facing today and comparing them with how visualizations have helped in similar situations in urban forestry and other related fields like landscape architecture, urban planning and forestry; second, the reactions of LTOs to a set of examples of proposed uses of visualizations were also complemented with the additional uses proposed by LTOs after seeing the visualizations. The visualizations were created ad hoc to show a variety of representative examples of the sue of visualization in urban forestry management and planning and were presented during the interviews to LTOS. Results show that the current production of visualizations is very reduced among tree officers but that they are frequent receptors of visualizations coming from other departments and as part of the documentation of planning applications. Findings show that the current visualizations that get to Tree Officers are biased and inaccurate and therefore it is argued the the current use of visualizations is a threat to legitimate informed decision making and public information. The development of a code for the use of visualizations in urban forestry management and planning is suggested.

The Vernacular Discourse of the "Arab Spring:" An Analysis of the Visual, the Embodied, and the Textual Rhetorics of the Karama Revolution

The Vernacular Discourse of the "Arab Spring" is a project that bridges the divide between the East and the West by offering new readings to Arab subjectivities. Through an analysis of the "Arab Spring" through the lens of vernacular discourse, it challenges the Euro-Americo-centric legacies of Orientalism in Western academia and the new wave of extremism in the Arab world by offering alternative representations of Arab bodies and subjectivities. To offer this new reading of the "Arab Spring," it explores the foundations of critical rhetoric as a theory and a practice and argues for a turn towards a critical vernacular discourse. The turn towards critical vernacular discourse is important as it urges the analyses of different artifacts produced by marginalized groups in order to understand their perspectives that have largely been foreclosed in traditional cultural studies research. Building on embodied/performative critical rhetoric, the vernacular discourses of the Arab revolutionary body examines other forms of knowledge productions that are not merely textual; more specifically, through data gathered in the Lhbib Bourguiba, Tunisia. This analysis of the political revolutionary body unveils the complexity underlining the discussion around issues of identity, agency and representation in the Middle East and North Africa, and calls for a critical study towards these issues in the region beyond the binary approach that has been practiced and applied by academics and media analysts. Hence, by analyzing vernacular discourse, this research locates a method of examining and theorizing the dialectic between agency, citizenry, and subjectivity through the study of how power structure is recreated and challenged through the use of the vernacular in revolutionary movements, as well as how marginalized groups construct their own subjectivities through the use of vernacular discourse. Therefore, highlighting the political prominence of evaluating the Arab Spring as a vernacular discourse is important in creating new ways of understanding communication in postcolonial/neocolonial settings.

EmotiBlog: a model to learn subjective information detection in the new textual genres of the Web 2.0 -a multilingual and multi-genre approach-

Tesis doctoral con mención europea en procesamiento del lenguaje natural realizada en la Universidad de Alicante por Ester Boldrini bajo la dirección del Dr. Patricio Martínez-Barco. El acto de defensa de la tesis tuvo lugar en la Universidad de Alicante el 23 de enero de 2012 ante el tribunal formado por los doctores Manuel Palomar (Universidad de Alicante), Dr. Paloma Moreda (UA), Dr. Mariona Taulé (Universidad de Barcelona), Dr. Horacio Saggion (Universitat Pompeu Fabra) y Dr. Mike Thelwall (University of Wolverhampton). Calificación: Sobresaliente Cum Laude por unanimidad.

An approach based on Logic Forms and WordNet relationships to Textual Entailment performance

This paper outlines the approach adopted by the PLSI research group at University of Alicante in the PASCAL-2006 second Recognising Textual Entailment challenge. Our system is composed of several components. On the one hand, the first component performs the derivation of the logic forms of the text/hypothesis pairs and, on the other hand, the second component provides us with a similarity score given by the semantic relations between the derived logic forms. In order to obtain this score we apply several measures of similitude and relatedness based on the structure and content of WordNet.

EmotiBlog: a fine-grained model for emotion detection in non-traditional textual genres

This paper presents the first version of EmotiBlog, an annotation scheme for emotions in non-traditional textual genres such as blogs or forums. We collected a corpus composed by blog posts in three languages: English, Spanish and Italian and about three topics of interest. Subsequently, we annotated our collection and carried out the inter-annotator agreement and a ten-fold cross-validation evaluation, obtaining promising results. The main aim of this research is to provide a finer-grained annotation scheme and annotated data that are essential to perform evaluation focused on checking the quality of the created resources.

Machine learning techniques for automatic opinion detection in non-traditional textual genres

This paper presents a preliminary study in which Machine Learning experiments applied to Opinion Mining in blogs have been carried out. We created and annotated a blog corpus in Spanish using EmotiBlog. We evaluated the utility of the features labelled firstly carrying out experiments with combinations of them and secondly using the feature selection techniques, we also deal with several problems, such as the noisy character of the input texts, the small size of the training set, the granularity of the annotation scheme and the language object of our study, Spanish, with less resource than English. We obtained promising results considering that it is a preliminary study.

A knowledge-based textual entailment approach applied to the QA answer validation at CLEF 2006

The Answer Validation Exercise (AVE) is a pilot track within the Cross-Language Evaluation Forum (CLEF) 2006. The AVE competition provides an evaluation frame- work for answer validations in Question Answering (QA). In our participation in AVE, we propose a system that has been initially used for other task as Recognising Textual Entailment (RTE). The aim of our participation is to evaluate the improvement our system brings to QA. Moreover, due to the fact that these two task (AVE and RTE) have the same main idea, which is to find semantic implications between two fragments of text, our system has been able to be directly applied to the AVE competition. Our system is based on the representation of the texts by means of logic forms and the computation of semantic comparison between them. This comparison is carried out using two different approaches. The first one managed by a deeper study of the Word- Net relations, and the second uses the measure defined by Lin in order to compute the semantic similarity between the logic form predicates. Moreover, we have also designed a voting strategy between our system and the MLEnt system, also presented by the University of Alicante, with the aim of obtaining a joint execution of the two systems developed at the University of Alicante. Although the results obtained have not been very high, we consider that they are quite promising and this supports the fact that there is still a lot of work on researching in any kind of textual entailment.

Textual Information Extraction

Material completo EIT

Topological structures of complex belief systems (II): Textual materialization

Mythical and religious belief systems in a social context can be regarded as a conglomeration of sacrosanct rites, which revolve around substantive values that involve an element of faith. Moreover, we can conclude that ideologies, myths and beliefs can all be analyzed in terms of systems within a cultural context. The significance of being able to define ideologies, myths and beliefs as systems is that they can figure in cultural explanations. This, in turn, means that such systems can figure in logic-mathematical analyses.

Saint Mathew Law and Bonini Paradox in Textual Theory of Complex Models

The mathematical models of the complex reality are texts belonging to a certain literature that is written in a semi-formal language, denominated L(MT) by the authors whose laws linguistic mathematics have been previously defined. This text possesses linguistic entropy that is the reflection of the physical entropy of the processes of real world that said text describes. Through the temperature of information defined by Mandelbrot, the authors begin a text-reality thermodynamic theory that drives to the existence of information attractors, or highly structured point, settling down a heterogeneity of the space text, the same one that of ontologic space, completing the well-known law of Saint Mathew, of the General Theory of Systems and formulated by Margalef saying: “To the one that has more he will be given, and to the one that doesn't have he will even be removed it little that it possesses.

A semantic framework for textual data enrichment

In this work we present a semantic framework suitable of being used as support tool for recommender systems. Our purpose is to use the semantic information provided by a set of integrated resources to enrich texts by conducting different NLP tasks: WSD, domain classification, semantic similarities and sentiment analysis. After obtaining the textual semantic enrichment we would be able to recommend similar content or even to rate texts according to different dimensions. First of all, we describe the main characteristics of the semantic integrated resources with an exhaustive evaluation. Next, we demonstrate the usefulness of our resource in different NLP tasks and campaigns. Moreover, we present a combination of different NLP approaches that provide enough knowledge for being used as support tool for recommender systems. Finally, we illustrate a case of study with information related to movies and TV series to demonstrate that our framework works properly.

Complexidade textual e progressão escolar em dois registos : um estudo de correlação baseado em um corpus quasi-longitudinal

Tese de doutoramento, Linguística (Linguística Educacional), Universidade de Lisboa, Faculdade de Letras, 2016