View Seminar Video Abstract The Wall Street Journal doesn’t look like medical texts, which in turn don’t look like tweets. We shouldn’t expect statistical models trained on news to do well on other domains, and[…]
Abstract In order to draw data-driven conclusions, social scientists need quantitative tools for analyzing massive, complex collections of textual information. I will discuss the development of such tools. I will concentrate on a class of[…]
Abstract I will discuss empirical and computational approaches my collaborators and I have been developing to build adaptive causal circuits that connect individual decision-making rules to collective patterns. This approach requires techniques that permit extraction[…]
Abstract In this talk, I will talk about the 10 week pilot on CMU Project Listen’s PC-based Reading Tutor program for enhancing English education in India. The pilot focused on low-income elementary school students, a[…]
Abstract The past five years have seen the emergence of robust, scalable natural language processing systems that can summarize and answer questions about online material. One key to the success of such systems is that[…]
Abstract When people engage in conversation, they adapt the way they speak to the speaking style of their conversational partner in a variety of ways. For example, they may adopt a certain way of describing[…]
Abstract The Penn Treebank, initially released in 1992, was the first richly annotated text corpus widely available within the natural language processing (NLP) community. Its release led within a few years to the development of[…]
