Research
Computational Linguistics and Information Processing
Machine Translation
Summarization
Parsing and Tagging
Computational Social Science
Faculty | Jordan Boyd-Graber Bonnie Dorr Jimmy Lin Doug Oard Amy Weinberg | |
Postdocs | ||
Graduate Students | Eric Hardisty Asad Sayed | |
Computational social science involves the use of computational methods and models to leverage "the capacity to collect and analyze data at a scale that may reveal patterns of individual and group behaviors". Research in the CLIP Laboratory is at the forefront of this emerging area, and includes sentiment analysis (computational modeling and prediction of opinions, perspective, and other private states), automatic analysis and visualization of the scientific literature, modeling the diffusion of technological innovations, and modeling and prediction of social goals and actions such as persuasion. Representative Publications and Project Pages:
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Information Retrieval: From Tweets to Tomes
Faculty | Jimmy Lin Doug Oard | |
Postdocs | ||
Graduate Students | ||
The goal of information retrieval is to help people find what they are looking for. Information retrieval research in the CLIP lab focuses principally on retrieval based on the language contained in text, in speech, and in document images. We work across a broad range of content types, from tweets to tomes, from talking to texting, and from Cebuano to Chinese. Three perspectives inform our work:
One example that illustrates these perspectives is our work with “cross-language information retrieval,” in which close coupling of machine translation and information retrieval techniques make it possible for people to find and use information written in languages that they can neither read nor write. Another example is our work on the design and evaluation of “question answering” systems that can automatically find and present answers to complex questions, which serves as a bridge between our work on information retrieval and summarization. Representative Publications and Project Pages:
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