Sobre a identidade do Centro de Educação Matemática (CEM): acidentes de uma leitura cartesiana

In this paper we present results of research conducted on the constitution of the identity of CEM (Centre for Mathematics Education), a group of mathematics teacher educators from the city of São Paulo, Brazil (1984-1997). We emphasize the processes of constitution of CEM’s identities, on the perspective of Oral History in Mathematics Education, of the Model of Semantic Fields and of theories of identities. As part of the broader endeavor of examining possibilities for constituting identities for the group, from several theoretical standpoints, here we report an exercise on constituting the identity of CEM from a Cartesian standpoint; the overall assumption is that we are not properly interested in what CEM is or was, but on the possibilities themselves. We argue that such analysis leads to an understanding of the group as being an accident involving the individual identities of its members but not to an understanding of CEM’s group identity as such.

Design, implementação e estudo de uma rede sócio profissional de professores de matemática

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

El léxico del Lazarillo

Se ilustra un Glosario exhaustivo de todas las palabras del Lazarillo registradas en el devenir de los contextos, realizado de manera distinta de las Concordancias y que pronto se va a colgar en la red. El Glosario permite estudiar datos estadísticos (cifras y porcentajes), clases gramaticales, voces más frecuentes, campos semánticos dominantes, estilemas, sintagmas, topografía de términos y voces exclusivas de un Tratado, etc. La conclusión es que el Lazarillo es obra muy rica en léxico (por tener muchas palabras con una sola mención y a la vez un bajo índice de repetición) y que expolios como éstos son imprescindibles, sea para estudios lingüísticos y estilísticos, sea para una edición crítica por brindar reunido el usus scribendi del autor con el que sopesar variantes adiáforas o dudosas

El léxico del Lazarillo

Se ilustra un Glosario exhaustivo de todas las palabras del Lazarillo registradas en el devenir de los contextos, realizado de manera distinta de las Concordancias y que pronto se va a colgar en la red. El Glosario permite estudiar datos estadísticos (cifras y porcentajes), clases gramaticales, voces más frecuentes, campos semánticos dominantes, estilemas, sintagmas, topografía de términos y voces exclusivas de un Tratado, etc. La conclusión es que el Lazarillo es obra muy rica en léxico (por tener muchas palabras con una sola mención y a la vez un bajo índice de repetición) y que expolios como éstos son imprescindibles, sea para estudios lingüísticos y estilísticos, sea para una edición crítica por brindar reunido el usus scribendi del autor con el que sopesar variantes adiáforas o dudosas

El léxico del Lazarillo

Se ilustra un Glosario exhaustivo de todas las palabras del Lazarillo registradas en el devenir de los contextos, realizado de manera distinta de las Concordancias y que pronto se va a colgar en la red. El Glosario permite estudiar datos estadísticos (cifras y porcentajes), clases gramaticales, voces más frecuentes, campos semánticos dominantes, estilemas, sintagmas, topografía de términos y voces exclusivas de un Tratado, etc. La conclusión es que el Lazarillo es obra muy rica en léxico (por tener muchas palabras con una sola mención y a la vez un bajo índice de repetición) y que expolios como éstos son imprescindibles, sea para estudios lingüísticos y estilísticos, sea para una edición crítica por brindar reunido el usus scribendi del autor con el que sopesar variantes adiáforas o dudosas

De las ciencias a la vida o sobre la productividad en la Ciénaga de Ayapel y su praccis

La estrategia didáctica praccis busca traducir dialógicamente algo extraño en el mundo de las ciencias, en algo cercano o quizá propio, en el mundo de la vida. Lo científico, lo extraño son los resultados de la investigación sobre la productividad en la ciénaga de Ayapel, Colombia, que es mediado por la estrategia didáctica praccis, para facilitar la circulación del conocimiento. Esta investigación está configurada en cuatro partes: una primera, que expone rigurosamente cómo es la productividad en la ciénaga de Ayapel; una segunda, donde se describen los postulados de la estrategia praccis; una tercera, donde se explica cómo se construye la estrategia didáctica con los conocimientos sobre la productividad de la ciénaga, y una cuarta, donde se muestra cómo se aplicó la estrategia que dio como el resultado la aceptación entre los pobladores de Ayapel, del establecimiento de la relación entre los campos semánticos y los eslabones de la estrategia praccis.

Ex combatientes y proceso de reintegración: representaciones sociales de un grupo estudiantes del área de la salud

La presente investigación tuvo como objetivo describir las representaciones sociales de un grupo de estudiantes del área de la salud frente a los excombatientes de grupos armados al margen de la ley en Colombia y frente a los procesos de reintegración. El estudio es cualitativo, desde un enfoque procesual de la teoría de las representaciones sociales, participaron estudiantes del área de la salud de una universidad privada de la ciudad de Bogotá. Los datos fueron recogidos mediante un ejercicio de asociación libre para conocer el componente semántico de las representaciones y una entrevista semiestructurada de forma individual con el fin de identificar las dimensiones de información, actitud y campo representacional. Se encontró la prevalencia de prejuicios hacia los excombatientes y la influencia de los medios de comunicación en el nivel y calidad de la información sobre estos objetos de representación, y se identificó una ambigüedad frente al proceso de reintegración; lo que de alguna forma sugiere las dificultades para la inclusión de este grupo a la sociedad, la presencia de una discriminación negativa y las bajas expectativas frente a procesos de cambio en el marco del proceso de paz.

The use of semantic priming as a paradigm for the detection of faking on self-report psychological tests

It is recognised that individuals do not always respond honestly when completing psychological tests. One of the foremost issues for research in this area is the inability to detect individuals attempting to fake. While a number of strategies have been identified in faking, a commonality of these strategies is the latent role of long term memory. Seven studies were conducted in order to examine whether it is possible to detect the activation of faking related cognitions using a lexical decision task. Study 1 found that engagement with experiential processing styles predicted the ability to fake successfully, confirming the role of associative processing styles in faking. After identifying appropriate stimuli for the lexical decision task (Studies 2A and 2B), Studies 3 to 5 examined whether a cognitive state of faking could be primed and subsequently identified, using a lexical decision task. Throughout the course of these studies, the experimental methodology was increasingly refined in an attempt to successfully identify the relevant priming mechanisms. The results were consistent and robust throughout the three priming studies: faking good on a personality test primed positive faking related words in the lexical decision tasks. Faking bad, however, did not result in reliable priming of negative faking related cognitions. To more completely address potential issues with the stimuli and the possible role of affective priming, two additional studies were conducted. Studies 6A and 6B revealed that negative faking related words were more arousing than positive faking related words, and that positive faking related words were more abstract than negative faking related words and neutral words. Study 7 examined whether the priming effects evident in the lexical decision tasks occurred as a result of an unintentional mood induction while faking the psychological tests. Results were equivocal in this regard. This program of research aligned the fields of psychological assessment and cognition to inform the preliminary development and validation of a new tool to detect faking. Consequently, an implicit technique to identify attempts to fake good on a psychological test has been identified, using long established and robust cognitive theories in a novel and innovative way. This approach represents a new paradigm for the detection of individuals responding strategically to psychological testing. With continuing development and validation, this technique may have immense utility in the field of psychological assessment.

A requirements framework for semantic business process modelling

The emergence of semantic technologies to deal with the underlying meaning of things, instead of a purely syntactical representation, has led to new developments in various fields, including business process modeling. Inspired by artificial intelligence research, technologies for semantic Web services have been proposed and extended to process modeling. However, the applicablility of semantic Web services for semantic business processes is limited because business processes encompass wider requirements of business than Web services. In particular, processes are concerned with the composition of tasks, that is, in which order activities are carried out, regardless of their implementation details; resources assigned to carry out tasks, such as machinery, people, and goods; data exchange; and security and compliance concerns.

Real, complex, and binary semantic vectors

This paper presents a combined structure for using real, complex, and binary valued vectors for semantic representation. The theory, implementation, and application of this structure are all significant. For the theory underlying quantum interaction, it is important to develop a core set of mathematical operators that describe systems of information, just as core mathematical operators in quantum mechanics are used to describe the behavior of physical systems. The system described in this paper enables us to compare more traditional quantum mechanical models (which use complex state vectors), alongside more generalized quantum models that use real and binary vectors. The implementation of such a system presents fundamental computational challenges. For large and sometimes sparse datasets, the demands on time and space are different for real, complex, and binary vectors. To accommodate these demands, the Semantic Vectors package has been carefully adapted and can now switch between different number types comparatively seamlessly. This paper describes the key abstract operations in our semantic vector models, and describes the implementations for real, complex, and binary vectors. We also discuss some of the key questions that arise in the field of quantum interaction and informatics, explaining how the wide availability of modelling options for different number fields will help to investigate some of these questions.

Identify disorders in health records using Conditional Random Fields and Metamap: AEHRC at ShARe/CLEF 2013 eHealth Evaluation Lab Task 1

The Australian e-Health Research Centre (AEHRC) recently participated in the ShARe/CLEF eHealth Evaluation Lab Task 1. The goal of this task is to individuate mentions of disorders in free-text electronic health records and map disorders to SNOMED CT concepts in the UMLS metathesaurus. This paper details our participation to this ShARe/CLEF task. Our approaches are based on using the clinical natural language processing tool Metamap and Conditional Random Fields (CRF) to individuate mentions of disorders and then to map those to SNOMED CT concepts. Empirical results obtained on the 2013 ShARe/CLEF task highlight that our instance of Metamap (after ltering irrelevant semantic types), although achieving a high level of precision, is only able to identify a small amount of disorders (about 21% to 28%) from free-text health records. On the other hand, the addition of the CRF models allows for a much higher recall (57% to 79%) of disorders from free-text, without sensible detriment in precision. When evaluating the accuracy of the mapping of disorders to SNOMED CT concepts in the UMLS, we observe that the mapping obtained by our ltered instance of Metamap delivers state-of-the-art e ectiveness if only spans individuated by our system are considered (`relaxed' accuracy).

Factors influencing robustness and effectiveness of conditional random fields in active learning frameworks

Active learning approaches reduce the annotation cost required by traditional supervised approaches to reach the same effectiveness by actively selecting informative instances during the learning phase. However, effectiveness and robustness of the learnt models are influenced by a number of factors. In this paper we investigate the factors that affect the effectiveness, more specifically in terms of stability and robustness, of active learning models built using conditional random fields (CRFs) for information extraction applications. Stability, defined as a small variation of performance when small variation of the training data or a small variation of the parameters occur, is a major issue for machine learning models, but even more so in the active learning framework which aims to minimise the amount of training data required. The factors we investigate are a) the choice of incremental vs. standard active learning, b) the feature set used as a representation of the text (i.e., morphological features, syntactic features, or semantic features) and c) Gaussian prior variance as one of the important CRFs parameters. Our empirical findings show that incremental learning and the Gaussian prior variance lead to more stable and robust models across iterations. Our study also demonstrates that orthographical, morphological and contextual features as a group of basic features play an important role in learning effective models across all iterations.

Classic identity negative priming involves accessing semantic representations in the left anterior temporal cortex

Classic identity negative priming (NP) refers to the finding that when an object is ignored, subsequent naming responses to it are slower than when it has not been previously ignored (Tipper, S.P., 1985. The negative priming effect: inhibitory priming by ignored objects. Q. J. Exp. Psychol. 37A, 571-590). It is unclear whether this phenomenon arises due to the involvement of abstract semantic representations that the ignored object accesses automatically. Contemporary connectionist models propose a key role for the anterior temporal cortex in the representation of abstract semantic knowledge (e.g., McClelland, J.L., Rogers, T.T., 2003. The parallel distributed processing approach to semantic cognition. Nat. Rev. Neurosci. 4, 310-322), suggesting that this region should be involved during performance of the classic identity NP task if it involves semantic access. Using high-field (4 T) event-related functional magnetic resonance imaging, we observed increased BOLD responses in the left anterolateral temporal cortex including the temporal pole that was directly related to the magnitude of each individual's NP effect, supporting a semantic locus. Additional signal increases were observed in the supplementary eye fields (SEF) and left inferior parietal lobule (IPL).

The semantic interference effect in the picture-word paradigm: An event-related fMRI study employing overt responses

We used event-related functional magnetic resonance imaging (fMRI) to investigate neural responses associated with the semantic interference (SI) effect in the picture-word task. Independent stage models of word production assume that the locus of the SI effect is at the conceptual processing level (Levelt et al. [1999]: Behav Brain Sci 22:1-75), whereas interactive models postulate that it occurs at phonological retrieval (Starreveld and La Heij [1996]: J Exp Psychol Learn Mem Cogn 22:896-918). In both types of model resolution of the SI effect occurs as a result of competitive, spreading activation without the involvement of inhibitory links. These assumptions were tested by randomly presenting participants with trials from semantically-related and lexical control distractor conditions and acquiring image volumes coincident with the estimated peak hemodynamic response for each trial. Overt vocalization of picture names occurred in the absence of scanner noise, allowing reaction time (RT) data to be collected. Analysis of the RT data confirmed the SI effect. Regions showing differential hemodynamic responses during the SI effect included the left mid section of the middle temporal gyrus, left posterior superior temporal gyrus, left anterior cingulate cortex, and bilateral orbitomedial prefrontal cortex. Additional responses were observed in the frontal eye fields, left inferior parietal lobule, and right anterior temporal and occipital cortex. The results are interpreted as indirectly supporting interactive models that allow spreading activation between both conceptual processing and phonological retrieval levels of word production. In addition, the data confirm that selective attention/response suppression has a role in resolving the SI effect similar to the way in which Stroop interference is resolved. We conclude that neuroimaging studies can provide information about the neuroanatomical organization of the lexical system that may prove useful for constraining theoretical models of word production.

Aspect-based opinion mining from product reviews using conditional random fields

Product reviews are the foremost source of information for customers and manufacturers to help them make appropriate purchasing and production decisions. Natural language data is typically very sparse; the most common words are those that do not carry a lot of semantic content, and occurrences of any particular content-bearing word are rare, while co-occurrences of these words are rarer. Mining product aspects, along with corresponding opinions, is essential for Aspect-Based Opinion Mining (ABOM) as a result of the e-commerce revolution. Therefore, the need for automatic mining of reviews has reached a peak. In this work, we deal with ABOM as sequence labelling problem and propose a supervised extraction method to identify product aspects and corresponding opinions. We use Conditional Random Fields (CRFs) to solve the extraction problem and propose a feature function to enhance accuracy. The proposed method is evaluated using two different datasets. We also evaluate the effectiveness of feature function and the optimisation through multiple experiments.