Estudio sobre la operatividad y eficacia de las multas en el marco de la contratación estatal

El trabajo de grado se estructuró en tres capítulos. El primero constituye un marco teórico sobre el cual se fundamentan los siguientes, pues se realiza un análisis de la cláusula penal en el derecho privado, incluidas las prácticas comerciales internacionales. El segundo capítulo aborda el tema de las multas en la contratación estatal, para lo cual se estudió la normatividad y jurisprudencia pertinente; en esa parte del escrito se incluyó el apartado correspondiente al derecho comparado. Finalmente, en el tercer capítulo, se formula una propuesta que permite hacer de esta medida coercitiva provisional una herramienta idónea para lograr el correcto y oportuno cumplimiento del contrato.

Actores y factores del contexto institucional que permiten entender la discusión y aprobación de la Ley 975 de 2005

El trabajo de investigación es un estudio de caso que pretende analizar la forma en que factores del contexto institucional y la capacidad de influencia de ciertos actores se reflejan en la discusión y aprobación de la Ley 975 de 2005. Factores del contexto institucional y la capacidad de influencia sobre las posiciones asumidas por los actores políticos y sociales en las diferentes etapas del proceso legislativo y sobre las decisiones que se tomaron para la aprobación de la Ley, en torno a dos elementos fundamentales de ésta que son el delito político y la rebaja de penas. Para ello, se tiene en cuenta el enfoque neo-institucional y el concepto de agencia.

Using syntactic and semantic features for classifying mo- dal values in the portuguese language

This paper presents a study made in a field poorly explored in the Portuguese language – modality and its automatic tagging. Our main goal was to find a set of attributes for the creation of automatic tag- gers with improved performance over the bag-of-words (bow) approach. The performance was measured using precision, recall and F1. Because it is a relatively unexplored field, the study covers the creation of the corpus (composed by eleven verbs), the use of a parser to extract syntac- tic and semantic information from the sentences and a machine learning approach to identify modality values. Based on three different sets of attributes – from trigger itself and the trigger’s path (from the parse tree) and context – the system creates a tagger for each verb achiev- ing (in almost every verb) an improvement in F1 when compared to the traditional bow approach.

Improving understandability in consumer health information search: Uevora @ 2016 fire chis

This paper presents our work at 2016 FIRE CHIS. Given a CHIS query and a document associated with that query, the task is to classify the sentences in the document as relevant to the query or not; and further classify the relevant sentences to be supporting, neutral or opposing to the claim made in the query. In this paper, we present two different approaches to do the classification. With the first approach, we implement two models to satisfy the task. We first implement an information retrieval model to retrieve the sentences that are relevant to the query; and then we use supervised learning method to train a classification model to classify the relevant sentences into support, oppose or neutral. With the second approach, we only use machine learning techniques to learn a model and classify the sentences into four classes (relevant & support, relevant & neutral, relevant & oppose, irrelevant & neutral). Our submission for CHIS uses the first approach.

Normalização automática de descrições de hotéis

As descrições de produtos turísticos na área da hotelaria, aviação, rent-a-car e pacotes de férias baseiam-se sobretudo em descrições textuais em língua natural muito heterogénea com estilos, apresentações e conteúdos muito diferentes entre si. Uma vez que o sector do turismo é bastante dinâmico e que os seus produtos e ofertas estão constantemente em alteração, o tratamento manual de normalização de toda essa informação não é possível. Neste trabalho construiu-se um protótipo que permite a classificação e extracção automática de informação a partir de descrições de produtos de turismo. Inicialmente a informação é classificada quanto ao tipo. Seguidamente são extraídos os elementos relevantes de cada tipo e gerados objectos facilmente computáveis. Sobre os objectos extraídos, o protótipo com recurso a modelos de textos e imagens gera automaticamente descrições normalizadas e orientadas a um determinado mercado. Esta versatilidade permite um novo conjunto de serviços na promoção e venda dos produtos que seria impossível implementar com a informação original. Este protótipo, embora possa ser aplicado a outros domínios, foi avaliado na normalização da descrição de hotéis. As frases descritivas do hotel são classificadas consoante o seu tipo (Local, Serviços e/ou Equipamento) através de um algoritmo de aprendizagem automática que obtém valores médios de cobertura de 96% e precisão de 72%. A cobertura foi considerada a medida mais importante uma vez que a sua maximização permite que não se percam frases para processamentos posteriores. Este trabalho permitiu também a construção e população de uma base de dados de hotéis que possibilita a pesquisa de hotéis pelas suas características. Esta funcionalidade não seria possível utilizando os conteúdos originais. ABSTRACT: The description of tourism products, like hotel, aviation, rent-a-car and holiday packages, is strongly supported on natural language expressions. Due to the extent of tourism offers and considering the high dynamics in the tourism sector, manual data management is not a reliable or scalable solution. Offer descriptions - in the order of thousands - are structured in different ways, possibly comprising different languages, complementing and/or overlap one another. This work aims at creating a prototype for the automatic classification and extraction of relevant knowledge from tourism-related text expressions. Captured knowledge is represented in a normalized/standard format to enable new services based on this information in order to promote and sale tourism products that would be impossible to implement with the raw information. Although it could be applied to other areas, this prototype was evaluated in the normalization of hotel descriptions. Hotels descriptive sentences are classified according their type (Location, Services and/or Equipment) using a machine learning algorithm. The built setting obtained an average recall of 96% and precision of 72%. Recall considered the most important measure of performance since its maximization allows that sentences were not lost in further processes. As a side product a database of hotels was built and populated with search facilities on its characteristics. This ability would not be possible using the original contents.

Sexual-i-hablando, las representaciones sociales de las estudiantes de Educación Preescolar en relación con la Educación para la Sexualidad

Recibido 22 de noviembre 2006 • Aprobado 14 de marzo 2007  La presente investigación aborda las representaciones que tienen las estudiantes de la carrera de Educación Preescolar de la División de Educación Básica (DEB), sobre el curso Educación para la Sexualidad, impartido en el IV nivel del Bachillerato, a partir de la información que tienen las estudiantes sobre la sexualidad y de las expectativas respecto a su práctica profesional en las aulas preescolares sobre la educación para la sexualidad, con el fin de reflexionar acerca del impacto en los niveles pedagógico y subjetivo de la propuesta metodológica y de contenidos. También, se sugieren estrategias didácticas áulicas y la consecuente incorporación de éstas de parte de las y los estudiantes en su práctica profesional. La metodología utilizada, desde el enfoque cualitativo, consideró adecuada la realización de entrevistas en profundidad, así como de relatos inducidos que dieran cuenta de las vivencias en torno a la educación para la sexualidad las dudas, temores, práctica docente y las estrategias para abordar la temática, entre otros. La investigación obtuvo como resultados una propuesta en contenidos y método para este curso. Además, una Prueba de Oraciones Incompletas (TOI), diseñado para conocer la información general que manejan las y los estudiantes que se matriculan en él, respecto de: la sexualidad, educación para la sexualidad, la sexualidad de las mujeres, la sexualidad de mujeres adolescentes, la sexualidad de las niñas, la sexualidad de los varones, sexualidad de varones adolescentes y la sexualidad de los niños.

Avances e inconsistencias en el concepto de reparación integral a raíz de las decisiones de la Corte Interamericana de Derechos Humanos y del Consejo de Estado Colombiano

Resumen El concepto de reparación integral en Colombia está mediado en gran parte por las decisiones de la Corte Interamericana de Derechos Humanos. Ello ha propiciado algunos avances en materia de ampliar el espectro de las reparaciones económicas; en la posibilidad de reabrir investigaciones antes cobijadas por la intangibilidad de la cosa juzgada; en la participación de las víctimas en los procesos penales y disciplinarios, y en algunas formas de reparación simbólica. Sin embargo, en general hay carencia de verdadera voluntad política y de mecanismos jurídicos que posibiliten que la reparación integral sea una realidad.Además, el cruce de decisiones de la Corte Interamericana con las decisiones del Consejo de Estado colombiano, ha originado situaciones absurdas que, aunque teóricamente se ven como un avance, en términos reales son un retroceso frente a los derechos de las víctimas. Ello se debe a la aparente similitud de las competencias de ambos tribunales; a una equivocada lectura del Consejo de Estado sobre los límites y posibilidades reales de su jurisdicción, y finalmente, a que la Corte no ha adoptado criterios claros en relación con las reparaciones económicas y en relación con la coherencia en el cumplimiento de sus sentencias. Palabras clave: reparación, Colombia, Corte Interamericana de Derechos Humanos, Consejo de Estado. Abstract The concept of integral reparation in Colombia is mediated largely by the decisions of the Inter-American Court of Human Rights. This has led to some progress in broadening the spectrum of economic reparations; in the possibility of reopening investigations sheltered by the intangibility for defendants; in the participation of victims in criminal and disciplinary proceedings, besides in some symbolic forms of reparation. However, there is general lack of real political will and legal mechanisms that enable that comprehensive reparation be a reality. Furthermore, crossing inter-American court decisions with the decisions of the Colombian State Council has created absurd situations that, although theoretically are seen as a breakthrough, in real terms are a retreat from the rights of victims. This is due to the apparent similarity in the competencies of both courts; a mistaken reading of the State Council on the limits and real possibilities of their jurisdiction, and finally, the Court has not adopted clear criteria regarding economic reparations and in relation to consistent com­pliance with its sentences.Keywords: repair, Colombia, Interamerican Court of Human rights, State Council.   

Essays in the Economics of the Family and Cultural Transmission

My research aims at identifying the role cultural-ethnic traits play in marriage choices and at uncovering the implications of marital sorting on consequent intra-household decisions. From different perspectives, this thesis focuses on intermarriages, within the Italian marriage market. In the first chapter, I explore the role of ethnic endogamy on marital instability. I document the existence of a positive differential in marital instability of interethnic marriages compared to homogeneous ones and I demonstrate that genetic and ethnolinguistic measures of cultural diversity are informative about the incidence of marital dissolution. The second chapter investigates a novel channel, which explains the differential in household stability and investments across family types: cultural socialization of children. I propose a marital matching model along cultural-ethnic lines, to study the process of family formation and intra-household decision making in a context where ethnic differences between spouses potentially matter both in terms of preferences and technologies for household production. The observed intermarriage, fertility, separation and socialization rates are in line with theoretical predictions and they are consistent with strong preferences of parents toward cultural socialization of children to their own ethnic identity. In the third chapter, I propose and estimate a marital matching model along ethnic lines. I argue that gains to intermarriage depend on both cultural preferences and legal status motives. Taking advantage of the exogenous EU enlargements to East European countries in 2004 and 2007, I show that gains to intermarriage of East European migrants significantly decrease in response to the acquisition of the legal status. The final chapter aims to understand whether judicial decisions respond to the ethnic identity of spouses and what incentives those judgments are guided, by looking at separation and divorce sentences. Studying the legal custody assignment of children, I document a significant differential interacting mothers’ ethnicities with the family type.

Typing your mind away. Comparing keylogged tasks with the Task Segment Framework

One of the main process features under study in Cognitive Translation & Interpreting Studies (CTIS) is the chronological unfolding of the tasks. The analyses of time spans in translation have been conceived in two ways: (1) studying those falling between text units of different sizes: words, phrases, sentences, and paragraphs; (2) setting arbitrary time span thresholds to explore where do they fall in the text, whether between text units or not. Writing disfluencies may lead to comprehensive insights into the cognitive activities involved in typing while translating. Indeed, long time spans are often taken as hints that cognitive resources have been subtracted from typing and devoted to other activities, such as planning, evaluating, etc. This exploratory, pilot study combined both approaches to seek potential general tendencies and contrasts in informants’ inferred mental processes when performing different writing tasks, through the analysis of their behaviors, as keylogged. The study tasks were retyping, monolingual free writing, translation, revision and a multimodal task—namely, monolingual text production based on an infographic leaflet. Task logs were chunked, and shorter time spans, including those within words, were analyzed following the Task Segment Framework (Muñoz & Apfelthaler, in press). Finally, time span analysis was combined with the analysis of the texts as to their lexical density, type-token ratio and word frequency. Several previous results were confirmed, and some others were surprising. Time spans in free writing were longer between paragraphs and sentences, possibly hinting at planning and, in translation, between clauses and words, suggesting more cognitive activities at these levels. On the other hand, the infographic was expected to facilitate the writing process, but most time spans were longer than in both free writing and translation. Results of the multimodal task and some other results suggest venues for further research.

Data-stream driven Fuzzy-granular approaches for system maintenance

Intelligent systems are currently inherent to the society, supporting a synergistic human-machine collaboration. Beyond economical and climate factors, energy consumption is strongly affected by the performance of computing systems. The quality of software functioning may invalidate any improvement attempt. In addition, data-driven machine learning algorithms are the basis for human-centered applications, being their interpretability one of the most important features of computational systems. Software maintenance is a critical discipline to support automatic and life-long system operation. As most software registers its inner events by means of logs, log analysis is an approach to keep system operation. Logs are characterized as Big data assembled in large-flow streams, being unstructured, heterogeneous, imprecise, and uncertain. This thesis addresses fuzzy and neuro-granular methods to provide maintenance solutions applied to anomaly detection (AD) and log parsing (LP), dealing with data uncertainty, identifying ideal time periods for detailed software analyses. LP provides deeper semantics interpretation of the anomalous occurrences. The solutions evolve over time and are general-purpose, being highly applicable, scalable, and maintainable. Granular classification models, namely, Fuzzy set-Based evolving Model (FBeM), evolving Granular Neural Network (eGNN), and evolving Gaussian Fuzzy Classifier (eGFC), are compared considering the AD problem. The evolving Log Parsing (eLP) method is proposed to approach the automatic parsing applied to system logs. All the methods perform recursive mechanisms to create, update, merge, and delete information granules according with the data behavior. For the first time in the evolving intelligent systems literature, the proposed method, eLP, is able to process streams of words and sentences. Essentially, regarding to AD accuracy, FBeM achieved (85.64+-3.69)%; eGNN reached (96.17+-0.78)%; eGFC obtained (92.48+-1.21)%; and eLP reached (96.05+-1.04)%. Besides being competitive, eLP particularly generates a log grammar, and presents a higher level of model interpretability.

Variety, flexibility, and use of abstract concepts. A multiple grounded perspective.

The nature of concepts is a matter of intense debate in cognitive sciences. While traditional views claim that conceptual knowledge is represented in a unitary symbolic system, recent Embodied and Grounded Cognition theories (EGC) submit the idea that conceptual system is couched in our body and influenced by the environment (Barsalou, 2008). One of the major challenges for EGC is constituted by abstract concepts (ACs), like fantasy. Recently, some EGC proposals addressed this criticism, arguing that the ACs comprise multifaced exemplars that rely on different grounding sources beyond sensorimotor one, including interoception, emotions, language, and sociality (Borghi et al., 2018). However, little is known about how ACs representation varies as a function of life experiences and their use in communication. The theoretical arguments and empirical studies comprised in this dissertation aim to provide evidence on multiple grounding of ACs taking into account their varieties and flexibility. Study I analyzed multiple ratings on a large sample of ACs and identified four distinct subclusters. Study II validated this classification with an interference paradigm involving motor/manual, interoceptive, and linguistic systems during a difficulty rating task. Results confirm that different grounding sources are activated depending on ACs kind. Study III-IV investigate the variability of institutional concepts, showing that the higher the law expertise level, the stronger the concrete/emotional determinants in their representation. Study V introduced a novel interactive task in which abstract and concrete sentences serve as cues to simulate conversation. Analysis of language production revealed that the uncertainty and interactive exchanges increase with abstractness, leading to generating more questions/requests for clarifications with abstract than concrete sentences. Overall, results confirm that ACs are multidimensional, heterogeneous, and flexible constructs and that social and linguistic interactions are crucial to shaping their meanings. Investigating ACs in real-time dialogues may be a promising direction for future research.

La autonomía del laudo internacional respecto de la sede del arbitraje: un análisis desde la Convención de Nueva York de 1958

La importancia y el efecto práctico de la CNY son indiscutibles desde hace mucho tiempo. La CNY ha regulado, directa o implícitamente, todos los pilares fundamentales del arbitraje internacional, proporcionando un marco jurídico uniforme para el desarrollo de este mecanismo alternativo de resolución de conflictos. La CNY ha obligado a sus Estados contratantes a reconocer y ejecutar los acuerdos y laudos arbitrales con independencia de sus regulaciones e intereses locales. Así, por su alcance casi universal, la CNY ha alcanzado una relevancia extraordinaria. Conjuntamente con su relevancia, la CNY ha proporcionado fundamentos adicionales para sostener la existencia de una jurisdicción arbitral autónoma que difiera de los ordenamientos jurídicos de cada Estado Contratante. Este planteamiento ha alcanzado aún mayor relevancia al ser avalado por la doctrina, los profesionales del arbitraje y la jurisprudencia de varios países -siendo su máximo exponente la jurisdicción francesa-. Atendiendo a las consecuencias prácticas de este debate, esta tesis abordará (CAP 1) una revisión de la CNY y sus principales disposiciones que sugieren el "estatus constitucional" de la CNY, (CAP 2) los modelos filosóficos del arbitraje internacional, (CAP 3) el fenómeno de la ejecución de los laudos arbitrales anulados por los tribunales nacionales, y (CAP 4) la autonomía jurídica del laudo dictado en un arbitraje internacional respecto de la sede del mismo.

Neural Machine Translation in the Field of Law. Analysis and Evaluation against Human Reference of NMT Raw Outputs of an Atto Costitutivo of S.r.l. from Italian into German.

Artificial Intelligence (AI) is gaining ever more ground in every sphere of human life, to the point that it is now even used to pass sentences in courts. The use of AI in the field of Law is however deemed quite controversial, as it could provide more objectivity yet entail an abuse of power as well, given that bias in algorithms behind AI may cause lack of accuracy. As a product of AI, machine translation is being increasingly used in the field of Law too in order to translate laws, judgements, contracts, etc. between different languages and different legal systems. In the legal setting of Company Law, accuracy of the content and suitability of terminology play a crucial role within a translation task, as any addition or omission of content or mistranslation of terms could entail legal consequences for companies. The purpose of the present study is to first assess which neural machine translation system between DeepL and ModernMT produces a more suitable translation from Italian into German of the atto costitutivo of an Italian s.r.l. in terms of accuracy of the content and correctness of terminology, and then to assess which translation proves to be closer to a human reference translation. In order to achieve the above-mentioned aims, two human and automatic evaluations are carried out based on the MQM taxonomy and the BLEU metric. Results of both evaluations show an overall better performance delivered by ModernMT in terms of content accuracy, suitability of terminology, and closeness to a human translation. As emerged from the MQM-based evaluation, its accuracy and terminology errors account for just 8.43% (as opposed to DeepL’s 9.22%), while it obtains an overall BLEU score of 29.14 (against DeepL’s 27.02). The overall performances however show that machines still face barriers in overcoming semantic complexity, tackling polysemy, and choosing domain-specific terminology, which suggests that the discrepancy with human translation may still be remarkable.