W.A. Mozart's Die Zauberflöte An Arrangement and Performance Edition for Wind Instruments and Vocal Soloists

The purpose of this dissertation is to produce a new Harmonie arrangement of Mozart’s Die Zauberflöte suitable for modern performance, bringing Joseph Heidenreich’s 1782 arrangement—one of the great treasures of the wind repertoire—to life for future performers and audiences. I took advantage of the capabilities of modern wind instruments and performance techniques, and employed other instruments normally found in the modern wind ensemble to create a work in the tradition of Heidenreich’s that restored as much of Mozart’s original thinking as possible. I expanded the Harmonie band to include flute and string bass. Other instruments provide special effects, a traditional role for wind instruments in the Classical opera orchestra. This arrangement is conceived to be performed with the original vocal soloists, making it a viable option for concert performance or for smaller staged productions. It is also intended to allow the wind players to be onstage with the singers, becoming part of the dramatic action while simultaneously serving as the “opera orchestra.” This allows creative staging possibilities, and offers the wind players an opportunity to explore new aspects of performing. My arrangement also restores Mozart’s music to its original keys and retains much of his original wind scoring. This arrangement expands the possibilities for collaboration between opera studios, voice departments or community opera companies and wind ensembles. A suite for winds without voices (currently in production) will allow conductors to program this major work from the Classical era without dedicating a concert program to the complete opera. Excerpted arias and duets from this arrangement provide vocalists the option of using chamber wind accompaniment on recitals. The door is now open to arrangements of other operas by composers such as Mozart, Rossini and Weber, adding new repertoire for chamber winds and bringing great music to life in a new way.

Structured Approaches for Exploring Interpersonal Relationships in Natural Language Text

Human relationships have long been studied by scientists from domains like sociology, psychology, literature, etc. for understanding people's desires, goals, actions and expected behaviors. In this dissertation we study inter-personal relationships as expressed in natural language text. Modeling inter-personal relationships from text finds application in general natural language understanding, as well as real-world domains such as social networks, discussion forums, intelligent virtual agents, etc. We propose that the study of relationships should incorporate not only linguistic cues in text, but also the contexts in which these cues appear. Our investigations, backed by empirical evaluation, support this thesis, and demonstrate that the task benefits from using structured models that incorporate both types of information. We present such structured models to address the task of modeling the nature of relationships between any two given characters from a narrative. To begin with, we assume that relationships are of two types: cooperative and non-cooperative. We first describe an approach to jointly infer relationships between all characters in the narrative, and demonstrate how the task of characterizing the relationship between two characters can benefit from including information about their relationships with other characters in the narrative. We next formulate the relationship-modeling problem as a sequence prediction task to acknowledge the evolving nature of human relationships, and demonstrate the need to model the history of a relationship in predicting its evolution. Thereafter, we present a data-driven method to automatically discover various types of relationships such as familial, romantic, hostile, etc. Like before, we address the task of modeling evolving relationships but don't restrict ourselves to two types of relationships. We also demonstrate the need to incorporate not only local historical but also global context while solving this problem. Lastly, we demonstrate a practical application of modeling inter-personal relationships in the domain of online educational discussion forums. Such forums offer opportunities for its users to interact and form deeper relationships. With this view, we address the task of identifying initiation of such deeper relationships between a student and the instructor. Specifically, we analyze contents of the forums to automatically suggest threads to the instructors that require their intervention. By highlighting scenarios that need direct instructor-student interactions, we alleviate the need for the instructor to manually peruse all threads of the forum and also assist students who have limited avenues for communicating with instructors. We do this by incorporating the discourse structure of the thread through latent variables that abstractly represent contents of individual posts and model the flow of information in the thread. Such latent structured models that incorporate the linguistic cues without losing their context can be helpful in other related natural language understanding tasks as well. We demonstrate this by using the model for a very different task: identifying if a stated desire has been fulfilled by the end of a story.