This thesis explores approaches to modelling individual differences in language use. The differences under consideration fall into two broad categories: Variation of the personality projected through language, and modelling of language alignment behaviour between dialogue partners. In a way, these two aspects oppose each other – language related to varying personalities should be recognisably different, while aligning speakers agree on common language during a dialogue. The central hypothesis is that such variation can be captured and produced with restricted computational means. Results from research on personality psychology and psycholinguistics are transformed into a series of lexically-based Affective Language Production Models (ALPMs) which are parameterisable for personality and alignment. The models are then explored by varying the parameters and observing the language they generate. ALPM-1 and ALPM-2 re-generate dialogues from existing utterances which are ranked and filtered according to manually selected linguistic and psycholinguistic features that were found to be related to personality. ALPM-3 is based on true overgeneration of paraphrases from semantic representations using the OPENCCG framework for Combinatory Categorial Grammar (CCG), in combination with corpus-based ranking and filtering by way of n-gram language models. Personality effects are achieved through language models built from the language of speakers of known personality. In ALPM-4, alignment is captured via a cache language model that remembers the previous utterance and thus influences the choice of the next. This model provides a unified treatment of personality and alignment processes in dialogue. In order to evaluate the ALPMs, dialogues between computer characters were generated and presented to human judges who were asked to assess the characters’ personality. In further internal simulations, cache language models were used to reproduce results of psycholinguistic priming studies. The experiments showed that the models are capable of producing natural language dialogue which exhibits human-like personality and alignment effects.

Markov Logic (ML) is a novel approach to Natural Language Processing tasks [Richardson and Domingos, 2006; Riedel, 2008]. It is a Statistical Relational Learning language based on First Order Logic (FOL) and Markov Networks (MN). It allows one to treat a task as structured classification. In this work, we investigate ML for the semantic processing tasks of Spoken Language Understanding (SLU) and Semantic Role Labelling (SRL). Both tasks consist of identifying a semantic representation for the meaning of a given utterance/sentence. However, they differ in nature: SLU is in the field of dialogue systems where the domain is closed and language is spoken [He and Young, 2005], while SRL is for open domains and traditionally for written text [M´arquez et al., 2008]. Robust SLU is a key component of spoken dialogue systems. This component consists of identifying the meaning of the user utterances addressed to the system. Recent statistical approaches to SLU depend on additional resources (e.g., gazetteers, grammars, syntactic treebanks) which are expensive and time-consuming to produce and maintain. On the other hand, simple datasets annotated only with slot-values are commonly used in dialogue system development, and are easy to collect, automatically annotate, and update. However, slot-values leave out some of the fine-grained long distance dependencies present in other semantic representations. In this work we investigate the development of SLU modules with minimum resources with slot-values as their semantic representation. We propose to use the ML to capture long distance dependencies which are not explicitly available in the slot-value semantic representation. We test the adequacy of the ML framework by comparing against a set of baselines using state of the art approaches to semantic processing. The results of this research have been published in Meza-Ruiz et al. [2008a,b]. Furthermore, we address the question of scalability of the ML approach for other NLP tasks involving the identification of semantic representations. In particular, we focus on SRL: the task of identifying predicates and arguments within sentences, together with their semantic roles. The semantic representation built during SRL is more complex than the slot-values used in dialogue systems, in the sense that they include the notion of predicate/argument scope. SRL is defined in the context of open domains under the premises that there are several levels of extra resources (lemmas, POS tags, constituent or dependency parses). In this work, we propose a ML model of SRL and experiment with the different architectures we can describe for the model which gives us an insight into the types of correlations that the ML model can express [Riedel and Meza-Ruiz, 2008; Meza-Ruiz and Riedel, 2009]. Additionally, we tested our minimal resources setup in a state of the art dialogue system: the TownInfo system. In this case, we were given a small dataset of gold standard semantic representations which were system dependent, and we rapidly developed a SLU module used in the functioning dialogue system. No extra resources were necessary in order to reach state of the art results.

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In this thesis I attempt to bring out some interesting implications of Plato’s political thought as it is presented in the Politicus. In particular, I will show how this dialogue provides a new picture of the relation between ruler and ruled; a picture that stresses the importance and responsibility of every citizen, not just of the statesman himself. This is achieved by an analysis of the notion of political craftsmanship envisaged by the main speaker of the dialogue, the Eleatic Stranger. However, before I turn to consider the Politicus itself, I provide a brief presentation of another Platonic craftsman, the demiurge of the Timaeus. As will be clear, the teleological structure, and the accompanying terminology, of his craftsmanship will mirror that of the true statesman and thus help us understand the latter’s political rule. My choice to focus on this aspect of the Politicus is motivated by the text itself. For the question of the kind of craftsmanship involved in political rule is picturesquely, yet effectively, brought to the fore by the myth in the early parts of the dialogue, which distinguishes between two rival conceptions and associates the statesman with one of them. I conclude by reflecting on the significance of my findings for Plato’s political thought as a whole.

This dissertation examines the ecumenical relationship between the Roman Catholic Church and the Anglican Communion and the necessity for a symbolic cognitive and narrative conversion in both communions. Drawing upon Karl Rahner's theology of symbol, this dissertation argues that such a cognitive and narrative conversion is determined by the interpretation and appropriation of God's mystery as the origin and goal of Christian activity and belief. As such, there is a demand for a second naïveté in both communions, whereby, the methods employed by ecumenical dialogue extend beyond the logic of criticism and seek to embrace a postcritical logic of symbol. / McAnulty College and Graduate School of Liberal Arts; / Theology / PhD; / Dissertation;

This project contends that hope for ethical communication in a postmodern age lies in the ability to rethink ethics in terms of "existential pathos." To that end, this study locates communicative responsibility in the responsive element of the self-other relation by relying primarily on the work of the twentieth-century Lithuanian-born French philosopher Emmanuel Levinas. I maintain that Levinas's disruption of the philosophical tradition informs a communication ethic comprised of dialectical, dialogical, and rhetorical modes of interpersonal interaction that are fundamentally rooted in an existential understanding of human striving. Further, I assert that these dialectical, dialogical and rhetorical components are best appreciated when Levinas is placed in dialogue with Kierkegaard, whose influence on existential phenomenology is undeniable, and whose recognition that pathos marks the essence of the human condition is indispensable to this project. Dialectic, dialogue and rhetoric are viewed here as praxis-oriented concepts that emerge in the context of a Levinas-Kierkegaard interplay that works to frame communicative responsibility as "response-ability." By looking at the ways that Levinas radically re-positions philosophical discourse about ethics, and placing those challenges in conversation with Kierkegaardian themes, this study seeks temporal answers to historically situated questions about the promise of ethical interpersonal interaction in a time of uncertainty. / McAnulty College and Graduate School of Liberal Arts; / Communication and Rhetorical Studies / PhD; / Dissertation;

A floor, four walls and a ceiling – this space that we take for granted has not always been a feature for humans. In my Degree project, I learn what a space has meant for people. I learn what existed before we built a room for ourselves, what came after, and what was a role of a fireplace in this process. I do so to be build my own relationship with a space of four walls to be able to work with such a space as a context for my work.

This thesis focuses on eGovernance – the use of ICT as a means to improve public sector practice. Previous research has shown that there is a lack of long-term discussion on the purposes and directions of eGovernance development, often outlining it as unequivocally positive, while missing to consider the complexities and conflicts involved in this process. In order to understand the complexities of eGovernance a future-oriented perspective is needed. In other words a perspective that not only focuses on using ICT to be responsive to present needs but also making it possible to discuss which goals public sector ICT initiatives should strive for and how these correspond to goals and means in the public sector as a whole. In order to do this I employ a sustainability perspective. The aim of this thesis is to understand how eGovernance can be sustainable in such a complex organizational environment. This is approached in four papers; based on two case studies, situated in the public sector of Sweden, and a structured literature review of the use of the sustainability concept in eGovernance research. The findings of this thesis include a framework of sustainable eGovernance, including an outline of the different dimensions of sustainability: social, economic, environmental and technical. These dimensions are seen as carriers of different values and goals which are in a process of continuous dialogue and conflict. Cutting across these four dimensions are two themes: decision making and information infrastructure, which make up the backbone of how ICT can be used in order to improve public practice. The theoretical lens of sustainability widens our understanding and helps in the questioning of motivations, directions and implications of eGovernance initiatives. This thesis thus contributes with a theoretically and empirically founded framework, which is suitable as a foundation for sustainable eGovernance development and further research into that area.

This thesis is a description and analysis of work that I produced during my Gradate studies at the University of New Orleans. The central theme of these works is the common human experience of inner dialogue, an interior experience. Through prints and sculpture I produce stand-ins for the body. These objects are meant to invite the viewer to sense recognizable human traits and to experience the works as having been "lived in."

A game could have thousands of sound assets, to fit all of those files to a manageable storage space it is often necessary to reduce the size of the files to a more manageable size so they have to be compressed. One type of sound that often takes up a lot of disc space (because there is so much of it) is dialogue. In the popular game engine Unreal Engine 4 (UE4) the the audio is compressed to Ogg Vorbis and has as default the bit rate is set to 104 kbit/s. The goal of this paper is to see if untrained listeners find dialogue compressed in Ogg Vorbis 104 kbit/s good enough for dialogue or if they prefer higher bit rates. A game was made in UE4 that would act as a listening test. Dialogue audio was recorded with a male and a female voice-actor and was compressed in UE4 in six different bit rates. 24 untrained subjects was asked to play the game and identify the two out of six robots with the dialogue audio they thought sound the best. The results show that the subjects prefer the higher bit rates that was tested. The results was analyzed with a chi-squared test which showed that the null-hypothesis can be rejected. Only 21% of the answers were towards UE4s default bit rate of 104 kbit/s or lower. The result suggest that the subjects prefer dialogue in higher bit rates and UE4 should raise the default bit rate.