Desde a última década, o tema aprendizagem organizacional tem recebido atenção de profissionais e pesquisadores. No entanto, a aprendizagem que ocorre nas organizações vai além da de natureza pragmática, que entende a aprendizagem a partir de modelos normativos somente com o intuito de gerar mudanças. Em contraponto a essa linha, existe, na literatura, a busca pela compreensão da aprendizagem como um processo, seja ele técnico ou social. Dentre outras, convém o uso da teoria da estética organizacional para a concepção da aprendizagem que emerge a partir das interações sociais. Esta teoria caracteriza-se por contestar o pensamento positivista-funcionalista e vai obtendo mais espaço, à medida que vem sendo aprofundada e empregada por pesquisadores, a fim de compreenderem os fenômenos organizacionais. Meu objetivo nesse estudo foi identificar e analisar, à luz da teoria da estética organizacional, os processos de aprendizagem, a partir das práticas de trabalho de profissionais que atuam em uma revenda de móveis planejados. Para isso, além de identificar e descrever as práticas de trabalho das funções organizacionais dos sujeitos pesquisados, também foi preciso identificar e analisar as dimensões referentes aos artefatos e à linguagem da cultura organizacional da revenda, assim como identificar e compreender as percepções estéticas dos profissionais atuantes em campo. Para a viabilidade da pesquisa, desenvolvi um estudo etnográfico, realizado entre os meses de fevereiro de 2011 e janeiro de 2012, em uma revenda de móveis planejados, situada em Porto Alegre (RS). De modo complementar, esclareço algumas noções importantes do ramo da arquitetura, principalmente de interiores, e de aspectos do ato de ‘habitar’. Após fazer referência às faculdades perceptivas dos sujeitos pesquisados e como estas permitem a realização dos juízos estéticos, esclareço como a estética organizacional pode ser compreendida como um critério de decisão e conexão. A partir das dinâmicas de relacionamentos e da contínua construção de um ‘espírito do lugar’, discuto como esses aspectos consentem à arquitetura dos processos de aprendizagem na organização pesquisada, ressaltando a ‘reflexividade estética’. / Since last decade, the theme organizational learning has received attention from professionals and researchers. However, the learning that occurs in the organizations goes beyond the one of pragmatic nature, what understands learning from the normative models only with the intention of generating changes. Counterpointing to this line, there is in literature the search for the learning comprehension as a process, being it technical or social. Among others, it is advisable the use of the theory of organizational esthetics for the learning conception that emerges from the social interactions. This theory is characterized for questioning the positive-functionalist thought and is obtaining more space, as it is being deepen and used by researchers, aiming to understand the organizational phenomena. My objective in this study was to identify and analyze the learning processes from the working practices of professionals who act in a planned furniture store by the theory of organizational esthetics. For that, beyond identifying and describing the working practices from the organizational functions of the researched individuals, it was also necessary to identify and analyze the dimensions referring to the artifacts and to the language of the organizational culture of resale, as well as the identification and comprehension of the esthetics perceptions of the professionals who were acting in the area. To the research feasibility I developed an ethnographic study, performed between the months of February 2011 and January 2012 at a planned furniture store, located in Porto Alegre (RS). To complement, I clarify some important notions in the field of architecture, mainly of interiors, and about the aspects of the act of ‘inhabiting’. After making reference to the perceptive faculties of the researched individuals and how they allow the realization of esthetical commonsense, I explain how the organizational esthetics can be understood as a criterion of decision and connection. Beyond that, from the dynamics of relationship and the continuous construction of a ‘spirit of the place’, I discuss how these aspects agree to the architecture of learning processes in the organization researched, highlighting the ‘esthetic reflexivity’.

abstract: Reasoning with commonsense knowledge is an integral component of human behavior. It is due to this capability that people know that a weak person may not be able to lift someone. It has been a long standing goal of the Artificial Intelligence community to simulate such commonsense reasoning abilities in machines. Over the years, many advances have been made and various challenges have been proposed to test their abilities. The Winograd Schema Challenge (WSC) is one such Natural Language Understanding (NLU) task which was also proposed as an alternative to the Turing Test. It is made up of textual question answering problems which require resolution of a pronoun to its correct antecedent. In this thesis, two approaches of developing NLU systems to solve the Winograd Schema Challenge are demonstrated. To this end, a semantic parser is presented, various kinds of commonsense knowledge are identified, techniques to extract commonsense knowledge are developed and two commonsense reasoning algorithms are presented. The usefulness of the developed tools and techniques is shown by applying them to solve the challenge. / Dissertation/Thesis / Doctoral Dissertation Computer Science 2019

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This work investigates the effective acquisition of lexical knowledge from the Web to perform semantic interpretation. The Web provides an unprecedented amount of natural language from which to gain knowledge useful for semantic interpretation. The knowledge acquired is described as common sense knowledge, information one uses in his or her daily life to understand language and perception. Novel approaches are presented for both the acquisition of this knowledge and use of the knowledge in semantic interpretation algorithms. The goal is to increase accuracy over other automatic semantic interpretation systems, and in turn enable stronger real world applications such as machine translation, advanced Web search, sentiment analysis, and question answering. The major contributions of this dissertation consist of two methods of acquiring lexical knowledge from the Web, namely a database of common sense knowledge and Web selectors. The first method is a framework for acquiring a database of concept relationships. To acquire this knowledge, relationships between nouns are found on the Web and analyzed over WordNet using information-theory, producing information about concepts rather than ambiguous words. For the second contribution, words called Web selectors are retrieved which take the place of an instance of a target word in its local context. The selectors serve for the system to learn the types of concepts that the sense of a target word should be similar. Web selectors are acquired dynamically as part of a semantic interpretation algorithm, while the relationships in the database are useful to iii stand-alone programs. A final contribution of this dissertation concerns a novel semantic similarity measure and an evaluation of similarity and relatedness measures on tasks of concept similarity. Such tasks are useful when applying acquired knowledge to semantic interpretation. Applications to word sense disambiguation, an aspect of semantic interpretation, are used to evaluate the contributions. Disambiguation systems which utilize semantically annotated training data are considered supervised. The algorithms of this dissertation are considered minimallysupervised; they do not require training data created by humans, though they may use humancreated data sources. In the case of evaluating a database of common sense knowledge, integrating the knowledge into an existing minimally-supervised disambiguation system significantly improved results – a 20.5% error reduction. Similarly, the Web selectors disambiguation system, which acquires knowledge directly as part of the algorithm, achieved results comparable with top minimally-supervised systems, an F-score of 80.2% on a standard noun disambiguation task. This work enables the study of many subsequent related tasks for improving semantic interpretation and its application to real-world technologies. Other aspects of semantic interpretation, such as semantic role labeling could utilize the same methods presented here for word sense disambiguation. As the Web continues to grow, the capabilities of the systems in this dissertation are expected to increase. Although the Web selectors system achieves great results, a study in this dissertation shows likely improvements from acquiring more data. Furthermore, the methods for acquiring a database of common sense knowledge could be applied in a more exhaustive fashion for other types of common sense knowledge. Finally, perhaps the greatest benefits from this work will come from the enabling of real world technologies that utilize semantic interpretation.