PPT-Assisi Annotation Poetry of

norman maccaig Poets Main Idea This poem is an encounter MacCaig has with a beggar outside the Basilica of St Francis of Assisi This is a famous landmark build to commemorate the life of St Francis of Assisi a saint famous for his compassion and kindness to the poor. MacCaig. Poetry. Our tasks today…. To find out who Norman MacCaig is. Step 1:. Using the laptops, and in pairs,you are going to create a short presentation explaining who Norman MacCaig is. Step 2:. A Close Reading Strategy for Better Comprehension. Text Annotation by Teachers. What is Text Annotation?. While reading, students mark the pages for . Important information. Text meaning or key details. &. Text Coding. Learning Target. I can determine a central idea of a text and how it is conveyed through particular details; provide a summary of the text distinct from personal opinions or judgments. . Triplets to Sentence Fingerprints. Motivation. . Scientific concepts are annotated with controlled vocabulary (CV) terms from ontologies such as Gene Ontology (GO) and Plant Ontology (PO). . Our Arabidopsis specific tool - . Abstract. A large number of organizations today generate and share textual descriptions of their products, services, and actions. Such collections of textual data contain significant amount of structured information, which remains buried in the unstructured text. While information extraction algorithms facilitate the extraction of structured relations, they are often expensive and inaccurate, especially when operating on top of text that does not contain any instances of the targeted structured information. . Thesis Proposal. Tao Huang. taohuang@cs.indiana.edu. Outline. Introduction. Motivation. Related System Survey. Research Issues. Milestones. Contributions. Introduction. Annotation Definitions. A commentary on an object that: (Cousins et al. 2000). A Close Reading Strategy for Better Comprehension. Text Annotation by Teachers. What is Text Annotation?. While reading, students mark the pages for . Important information. Text meaning or key details. ConceptRank. Petra Budíková, Michal Batko, Pavel Zezula. Outline. Search-based annotation. Motivation. Problem formalization. Challenges. ConceptRank. Idea. Semantic network construction. PageRank and ConceptRank. Text Annotation by Teachers. What is Text Annotation?. While reading, students mark the pages for . Important information. Text meaning or key details. Ideas and questions. What About Highlighters?. The Next Generation. Rashmi. Prasad, Bonnie . W. ebber, . A. lan Lee. *. Aravind. Joshi. Outline. Introduction. Discourse Coherence and its annotation. PDTB Basics. PDTB enrichment. Motivation. New relations. Petra Bud. íková, FI MU. CEMI meeting, Plze. ň. , 1. 6. . . 4. . 2014. Formalization. The annotation problem is . defined by a . query image . I. . and a . vocabulary . V. of candidate concepts. Lecture 3. Gene Finding and Sequence Annotation. Objectives of this lecture. Introduce you to basic concepts and approaches of gene finding. Show you differences between gene prediction for prokaryotic and eukaryotic genomes. Tao Huang, . Shrideep. . Pallickara. , Geoffrey Fox. Community Grids Lab. Indiana University, Bloomington. . {. taohuang. , . spallick. , . gcf}@indiana.edu. Outline. Analysis of existing Collaboration and Annotation Systems. a . Tool for Online Annotation and . Curation. Dorrie Main, Taein Lee, Ping . Zheng. , Sook Jung, Stephen P. Ficklin, Jodi Humann, . Jill . Wegrzyn.  and David Neale. What is . GenSAS. ?. It is a web-based .