PPT-Data Annotation for Classification
Author : debby-jeon | Published Date : 2015-11-30
Prediction Develop a model which can infer a single aspect of the data predicted variable from some combination of other aspects of the data predictor variables
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Data Annotation for Classification: Transcript
Prediction Develop a model which can infer a single aspect of the data predicted variable from some combination of other aspects of the data predictor variables Which students are offtask Which students will fail the class. 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. 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 . 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. . 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. Authors: Joe Futrelle, Amber York. . @ Woods Hole Oceanographic Institution. Imaging FlowCytobot. (Heidi Sosik et al). HabCam. (Scott . Gallager. et al). SeaBED. (. Hanumat. Singh et al). Phytoplankton . 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. . 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. 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. However, genomes are large and complex and visualizing this information is not easy. You need to imagine that the raw annotation information, by itself, can be contained in a text file, which could include positional information (coordinates relative to the reference genome) and different features (e.g. annotation type – gene, mRNA, intron/exon, variant, UTR, etc.).
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