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Acknowledgments As I write these words I am overwhelmed that so many people have provided such a continuous force of encouragement, advice, and unrelenting positivity. Truly, I have been blessed to have them in my life. My advisor, Kevin Knight, was just about the perfect person to guide me along this path. He was ever tolerant of my irreverent, frequently(More)
This paper investigates automatic identification of Information Structure (IS) in texts. The experiments use the Prague Dependency Treebank which is annotated with IS following the Praguian approach of Topic Focus Articulation. We automatically detect t(opic) and f(ocus), using node attributes from the treebank as basic features and derived features(More)
The paper presents a framework that allows the design, realisation and validation of different anaphora resolution models on real texts. The type of processing implemented by the engine is an incremental one, simulating the reading of texts by humans. Advanced behaviour like postponed resolution and accumulation of values for features of the discourse(More)
We introduce a modular, dependency-based formalization of Information Structure (IS) based on Steedman's prosodic account [1, 2]. We state it in terms of Extensible Dependency Grammar (XDG) [3], introducing two new dimensions modeling 1) prosodic structure, and 2) theme/rheme and focus/background partitionings. The approach goes without a non-standard(More)
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