PPT-Answering a question using RADS

Dung Beetles Day 2 RADS R estate the question A nswer the question D efend your answer using text S ummary sentence Question 1 Why does the dung beetle roll dung R estate the Question. iaaccn Abstract Community question answering cQA which pro vides a platform for people with diverse back ground to share information and knowledge has become an increasingly popular research topic In this paper we focus on the task of question re tri What is Question Answering?. 2. Question Answering. One of the oldest NLP tasks (punched card systems in 1961). Simmons, Klein, . McConlogue. . 1964. Indexing and Dependency Logic for Answering English Questions. American Documentation 15:30, 196-204. via . Semantic Enrichment. Huan Sun. *. , . Hao. Ma. #. Scott Wen-tau Yih. #. , Chen-Tse Tsai. . , . Jingjing. Liu. #. , Ming-Wei Chang. #. *. University of California, Santa Barbara. #. Microsoft Research, Redmond. Shallow & Deep. Techniques for NLP. Ling571. Deep Processing Techniques for NLP. March 9, 2011. Examples from Dan . Jurafsky. ). Roadmap. Question-Answering: . Definitions & Motivation. Basic pipeline:. By Nina . Zahedi. MD. . Why BI-RADS?. Confusion. If I report she is really sick what happens if she is not?. . If I report normal what happens if she is really sick?. Consultation. Whittling down RADs. Ken Locey. Q. How many possible RAD’s for a community of 45 individuals?. Q. How many possible RADs for a community of 45 individuals?. A. 89, 134. Q. How many possible ways to add integers to reach a sum of 45?. Lin Ma, . Zhengdong. Lu, and Hang Li. Huawei Noah’s Ark Lab, Hong Kong. http://. www.ee.cuhk.edu.hk. /~lma. /. . Mine the relationships between multiple modalities. Association different modalities. SWBAT . make . inferences about the character by answering a question.. Get the Close Reader turn to page 3 and preview the text.. Make a prediction. What is the story, “Golden Glass” going to be about?. Kai-Wei Chang. CS @ University of Virginia. kw@kwchang.net. Couse webpage: . http://kwchang.net/teaching/NLP16. 1. CS6501-NLP. Question answering. CS6501– Natural Language Processing. 2. credit: ifunny.com. (including a sketch of Information Retrieval. ). Slides adapted from Dan . Jurafsky. , . Jim . Martin and Ed . Hovy. Web-based Question . Answering. Information Retrieval (briefly. ). Today. The notion of getting computers to give reasonable answers to questions has been around for quite awhile. , . Lung-RADS. , NI-RADS, O-RADS, PI-RADS. , . TI-RADS: . Reporting . and Data Systems . . Julie Y. An. , MD. . Kyle M.L. . Unsdorfer. , MD. Jeffrey . C. . Weinreb. , MD. An earlier incorrect version of this presentation appeared online. This presentation was corrected on September 12, 2019.. Kimberly A. Dao, MD. Anna F. Rives, MD, PhD. Liza M. Quintana, MD. Michael A. . Kritselis. , DO. Michael D.C. Fishman, MD . Rutuparna. Sarangi, MD. Priscilla J. . Slanetz. , MD, MPH. From the Departments of Radiology (K.A.D., A.F.R., M.D.C.F., R.S., P.J.S.) and Pathology (M.A.K.), Boston University Medical Center, Boston University School of Medicine, 830 Harrison Ave, Moakley Building Suite 1300, Boston, MA 02118; and Department of Pathology, Beth Israel Medical Center, Harvard Medical School, Boston, Mass (L.M.Q.).. What Residents Need to Know. Karina Pesce, MD, PhD. María B. Orruma, MD. Carolina Hadad, MD. Yesenia Bermúdez Cano, MD. Roberto Secco, MD. Andrea Cernadas, MD. Authors’ Affiliation:. Department of Breast Radiology. Many Slides from:. Sanda. . Harabagiu. , Tao Yang. Chris Manning, David . Ferrucci. , . Watson . Team, and Paul Fodor. Outline. Question Answering. Types of QA tasks and approaches. Reading-based QA.