PPT-Fine-grained Entity Extraction

Heng Ji UIUC 1 What are entities Main meaning unique world bodies with nonunique names such as people organizations locations eg Washington County Extended meaning information extraction. Design Gap. Problems with Fine Grained Approach FPGAs. Area in-efficient. Percentage of chip area for wiring far too high. Too slow. Unavoidable critical paths too long. Routing and Placement is very complex. Register-Aware Application . Mapping . on Coarse-Grained Reconfigurable Architectures. Mahdi . Hamzeh. , . Aviral. . Shrivastava. , and . Sarma. . Vrudhula. School of Computing, Informatics, and Decision Systems Engineering. Extraction Error Analysis . and . Event-Event Relations. Heng. . Ji. . jih@rpi.edu. 2. . Challenges of Event Extraction 2pm-2:30pm. Event-event Relations 2:30pm-2:50pm. Student Presentations [70mins] 2:50pm-4pm. Xen. Bhanu Vattikonda. with . Sambit. Das and . Hovav. . Shacham. 2. Motivation . Project goals. Goals of the paper. Discussion . Future work. Motivation. 3. Recent research efforts have shown that covert channel attacks are possible in the cloud using fine grained timers . Andréia Marini . Adviser: Alessandro L. . Koerich. Postgraduate . Program in Computer Science (. PPGIa. ) . Pontifical . Catholic University of . Paraná (PUCPR). Outline. Motivation. The . Challenge. Mouna Hammoudi. 1. , Gregg Rothermel. 1. , . Andrea Stocco. 2. . This work has been partially supported by the National Science Foundation through award IIS-1314365.. 1. University of Nebraska-Lincoln, USA. By Sharon Creech. Pictures by Harry Bliss. principal. The head of a school. The . principal. . of Bridge City Intermediate is a woman . named Dr. . Fountain. . . Soared. To rise or fly high in the air.. Christopher Fritz. CSE691, May 2015. cvfritz@buffalo.edu. Agenda. Background – fine-grained power gating. Background – GPGPU . Prior Art. Our fine-grained value-based power gating . method. Ispass. Recognition(. 细粒度分类. ) . 沈志强. Datasets. . -- Caltech-UCSD Bird-200-2011. Number of categories: 200. Number of images: 11,788. Annotations per image: 15 Part Locations, 1 Bounding Box. Factors Affecting Reliable Word Sense Annotation. Susan . Windisch. Brown, Travis Rood, and Martha Palmer. University of Colorado at Boulder. Annotators in their little nests agree;. And ‘tis a shameful sight,. Introducing the tasks:. Getting simple structured information out of text. Information Extraction. Information extraction . (IE) systems. Find and understand limited relevant parts of . texts. Gather information from many pieces of text. Presenter : . Shu-Ya. Li. Authors : . Venkatesh. . Ganti. , . Arnd. Christian . König. , . Rares. . Vernica. KDD, . 2008 . 2. Outline. Motivation. Objective. Methodology. Experiments and Results. Andréia Marini . Adviser: Alessandro L. . Koerich. Postgraduate . Program in Computer Science (. PPGIa. ) . Pontifical . Catholic University of . Paraná (PUCPR). Outline. Motivation. The . Challenge. Peng Li, Jing Jiang, . Yinglin. Wang. Shanghai Jiao Tong University. Singapore Management University. An Example Entity Summary. July 13, 2010. ACL 2010. 2. An Example Entity Summary. July 13, 2010.