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Edu.sg Abstract Current graph-based approaches to automatic text summarization, such as LexRank and TextRank, assume a static graph which does not model how the input texts emerge. A suitable evolutionary text graph model may impart a better understanding of the texts and improve the summarization process. We propose a timestamped graph (TSG) model that is motivated by human writing and reading processes, and show how text units in this model emerge over time. In our model, the graphs used by L.
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Tuple FAQ
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Graphs should always have at minimum a caption, axes and scales, symbols, and a data field.
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Learning Line Graphs The Title. The title offers a short explanation of what is in your graph. ... The Legend. The legend tells what each line represents. ... The Source. The source explains where you found the information that is in your graph. ... Y-Axis. In line graphs, the y-axis runs vertically (up and down). ... The Data. ... X-Axis.
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The coordinate plane is divided into four equal parts by the intersection of the x-axis and the y-axis and are called quadrants.
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Five principles of good graphs Show the data clearly. Showing the data clearly includes ensuring the data points can be seen but also providing meaningful text on the graph itself. ... Use simplicity in design of the graph. ... Use alignment on a common scale. ... Keep the visual encoding transparent. ... Use standard forms that work.
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Graphs, Vertices, and Edges A graph consists of a set of dots, called vertices, and a set of edges connecting pairs of vertices. While we drew our original graph to correspond with the picture we had, there is nothing particularly important about the layout when we analyze a graph.
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Review: Essential Graph Elements An informative title. Clearly visible data points. Appropriate labels on each axis that include units. A trend line showing the mathematical model of the fit of your data, when appropriate. A legend if more than one type of information is included. Grid lines when appropriate.
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Keywords relevant to Added To The Graph - Aclweb
- ROUGE-2
- 2005
- summarization
- ROUGE-1
- 2004
- unweighted
- tuple
- TextRank
- V1
- lmax
- Tarau
- DIS1
- centrality
- V2
- segmentation
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