PPT-“Everyday Use” Annotation Assignment

Author : luanne-stotts | Published Date : 2018-11-07

Now that you have heard this excerpt once it is time for the close reading of this text Get out your highlighters Begin by rereading this excerpt As you read think

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“Everyday Use” Annotation Assignment: Transcript


Now that you have heard this excerpt once it is time for the close reading of this text Get out your highlighters Begin by rereading this excerpt As you read think about the characterization. Denovo genome Denovo genome outline outline novogenome from contigs from assembled contigs annotation Denovo genome Denovo genome Reads contig Gene Gene Annotation Gene Annotation Forgene 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. BCB 660. October 20, 2011. From Carson Holt. Annotations. Automated. Ab. initio. (based on genomic sequence alone). Involves comparisons to known proteins (BLAST similarity). Sequence motifs such as start/stop . PropBank. . Outline. Introduction to the project. Basic linguistic concepts. Verb & Argument. Making information explicit. Null arguments. Tasks to be carried out. Timesheets, tips. Creation of Resources. Massimo Poesio. University of . Essex. Part 1: Intro, . Microtask. . crowdsourcing. ANNOTATED CORPORA: . AN ERA OF PLENTY?. With the release of the . OntoNotes. and ANC corpora for English and a number of corpora for other languages (Prague Dependency Treebank especially) we may think we won’t need to do any more annotation for a while . 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. . Philip . McParlane. , Yashar Moshfeghi and Joemon M. Jose. University of Glasgow, UK. http://www.dcs.gla.ac.uk/~philip/. p.mcparlane.1@research.gla.ac.uk. Motivation for annotating images. Problems with existing automatic image annotation collections. GO editors agreed on C16 relations . QuickGO graph of relations much less flat. 32. 51. Progress on Annotation extension relations. David OS transferred all . C16 relations . Wiki pages to . GitHub. and created new pages. 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. (ideas for . joint journal paper). CEMI meeting, Praha, 14. 3. 2014. Outline. Introduction. Why annotations?. State-of-the-art in multimedia annotation. Search-based image annotation. What. . we. . Benefit #1 of annotation: . helps you to stay . awake. We all know that sometimes the reading selections can be a tad bit boring right…….. Annotating the text keeps your . brain. . working. . and it keeps you . Tool. (. TART). Outline. Pragmatics & Corpora. Speech/Dialogue-Act Annotation. The DART Approach. From DART to . TART. Observations & Issues. Intended Features. Potential Applications. Pragmatics & Corpora.

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