DANI YOGATAMA THESIS

Current research has treated the above as disjoint problems. In clustering step, three clustering algorithms: Transductive learning from a few seeds and a collection of mention tokens combines Bayesian inference and conditional estimation. We evaluate our model and its components on two datasets collected from political blogs and sports news, finding that it outperforms a simple agglomerative clustering approach and previous work. We will present a model for identifying strategic behavior amongst candidates during the U.

Transductive learning from a few seeds and a collection of mention tokens combines Bayesian inference and conditional estimation. To make this idea concrete, we consider the societally important decisions of the Supreme Court of the United States. Throughout this thesis, we will illustrate how our models can be used as tools for in-depth exploration of text data and hypothesis generation. Throughout this proposal, we will present several examples of strategic behavior and how we can model it computationally. We explore Debatepedia, a community authored encyclopaedia of socio-political debates, as evidence for inferring a low dimensional, human-interpretable representation in the domain of issues and positions. Yanchuan Sim, Noah A.

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We extend the model to reveal changes in some authors’ faction memberships over time. Hence, language is purposeful and strategic. Throughout this proposal, we will present several examples of strategic behavior and how we can model it computationally.

We apply a domain-informed Bayesian HMM to infer the proportions of ideologies each candidate uses in each campaign. The Utility of Text: Barcelona, Catalonia, Spain abstract bibtex paper Entity linking maps name mentions in the documents to entries in thesiss knowledge base through resolving the name variations and ambiguities.

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LTI PhD Thesis Defense: Dani Yogatama

Collectively they lead the highest performance on KBP task. Lastly, topic modeling is used to model the semantic topics of the articles. It supports compiling LaTeX, gnuplot and eps files, and displaying it to the console in a clean manner.

dani yogatama thesis

In this work, we propose an integrated model to leverage side information. We evaluate our model and its components on two datasets collected from political blogs and sports news, finding that it outperforms a simple agglomerative clustering approach and previous work. Transductive learning from a few seeds and a collection of mention tokens combines Bayesian inference and conditional estimation. Instead, this thesis proposes to take a decision theoretic approach to jointly model both author’s social attributes and responses from text — we treat text as a choice variable and model tnesis individual author’s text production as a utility function.

hi. i am yanchuan.

He is an assistant professor at Georgetown University. SmithJing Jiang.

dani yogatama thesis

Lastly, we discuss methods and challenges to characterize authors’ strategic htesis in the domains of scientific community and judicial politics. Ofir PressUW Ph. Hao PengUW Ph.

Secondly, as entity linking annotation is expensive and labor intensive, to automate the annotation process without compromise of accuracy, we propose an instance selection strategy to effectively utilize the automatically generated annotation.

Current research has treated the above as disjoint problems. Throughout this thesis, we will illustrate how our models can be used as tools for in-depth exploration of text data and hypothesis generation. He is a dnai at the University of Edinburgh. The system builds upon the morphological analyzing capabilities of MeCab to incorporate finer details of classification such as politeness, tense, mood, voice attributes, and more.

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The model is novel in that it incorporates entity context, surface features, first-order dependencies among attribute-parts, and a notion of noise. AcreeJustin H. Yanchuan Sim, Bryan R. Theis write lawyers submit briefs, legislators draft bills, scientists publish papers, teenagers tweet, and politicians give speeches which are first written by their speechwriters for a multitude of purposes. After performing validation and robustness checks, we fit the model using presidential candidates’ speeches from and Kelvin LuuUW Ph.

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He is a research scientist at Semantic Machines. He is a researcher at AI2. She is a research scientist at Expedia.

He is a data scientist at Civis Analytics. Dani Yogatama defended his Ph. Both results incorporate the new technologies: We introduce a probabilistic model of some of the important aspects of that process:

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