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computational language understanding lab | clulab.cs.arizona.edu Reviews

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computational language understanding lab

http://clulab.cs.arizona.edu/press.php

Computational language understanding lab. Arizona Daily Star (page F22), 1/2016: Automated 'reading' seeks holistic cancer solutions. The Daily Wildcat, 12/2015: UA team creates program to read through libraries of scientific articles and come to cancer conclusions. UA News, 9/2015: Raising Computers to Be Good Scientists. Slate, 10/2014: Using Tweets to Predict Which States Are Overweight. Foodnetwork, 10/2014: The Foods We Eat - and Tweet About - by State. KCET, 9/2014: How Twitter Can Make Us Healthier.

2

computational language understanding lab

http://clulab.cs.arizona.edu/index.php

Computational language understanding lab. The Computational Language Understanding (CLU) Lab at University of Arizona. These systems were used in several applications, ranging from extracting cancer signaling pathways from biomedical articles to automated systems for answering multiple-choice science-exam questions. The CLU lab includes members from the Computer Science department. And the School of Information. For more on natural language processing (NLP) work at UofA, please see our NLP cluster page.

3

computational language understanding lab

http://clulab.cs.arizona.edu/software.php

Computational language understanding lab. See our github page. For all our projects. REACH stands for Re. Language of Food on Social Media. This archive contains the source code and some of the generated data from our Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering. Discourse for Question Answering. This archive contains the source code and data from our Discourse Complements Lexical Semantics for Non-factoid Answer Reranking.

4

computational language understanding lab

http://clulab.cs.arizona.edu/publications.php

Computational language understanding lab. Peter Jansen, Niranjan Balasubramanian, Mihai Surdeanu, and Peter Clark. What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams. In Proceedings of the 26th International Conference on Computational Linguistics (COLING), 2016. [pdf]. Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Peter Clark and Michael Hammond. Creating Causal Embeddings for Question Answering with Minimal Supervision. Dane Bell, Gustave Hahn-Powe...

5

computational language understanding lab

http://clulab.cs.arizona.edu/projects.php

Computational language understanding lab. Development of causal models with the aid of natural language processing (NLP) technology. Sponsor: Bill and Melinda Gates Foundation. Within the HBGDki program. REACH: Reading and Assembling Contextual and Holistic Mechanisms from Text. Sponsor: DARPA within the Big Mechanism program. NIH NLM 2R01LM010090, Temporal Relation Discovery for Clinical Text. NIH NIGMS 1R01GM114355, Extended Methods and Software Development for Health NLP. Within the Aristo project.

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Clayton T. Morrison

http://w3.sista.arizona.edu/~clayton

Clayton T. Morrison. Statistics Graduate Interdisciplinary Program. The University of Arizona. Tucson, AZ 85721. E-mail: claytonm@email.arizona.edu. Machine Learning for Artificial Intelligence (ML4AI) Lab. Interdisciplinary Visual Intelligence (IVI) Lab. Computational Language Understanding (CLU) Lab. Current - Fall 2016:. ISTA 421 / INFO 521 - Introduction to Machine Learning. Spring 2016: ISTA 410 / INFO 510 - Bayesian Modeling and Inference. Fall 2014: ISTA 421/521 - Introduction to Machine Learning.

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Computational language understanding lab. The Computational Language Understanding (CLU) Lab at University of Arizona. These systems were used in several applications, ranging from extracting cancer signaling pathways from biomedical articles to automated systems for answering multiple-choice science-exam questions. The CLU lab includes members from the Computer Science department. And the School of Information. For more on natural language processing (NLP) work at UofA, please see our NLP cluster page.

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