Skip to Main content Skip to Navigation
Journal articles

Facilitating Discourse Analysis with Interactive Visualization

Abstract : The text panel is coordinated with the visualizations to allow detailed analysis of the correspondence of rhetorical structure and text content. Abstract—A discourse parser is a natural language processing system which can represent the organization of a document based on a rhetorical structure tree—one of the key data structures enabling applications such as text summarization, question answering and dialogue generation. Computational linguistics researchers currently rely on manually exploring and comparing the discourse structures to get intuitions for improving parsing algorithms. In this paper, we present DAViewer, an interactive visualization system for assisting computational linguistics researchers to explore, compare, evaluate and annotate the results of discourse parsers. An iterative user-centered design process with domain experts was conducted in the development of DAViewer. We report the results of an informal formative study of the system to better understand how the proposed visualization and interaction techniques are used in the real research environment.
Document type :
Journal articles
Complete list of metadata

Cited literature [29 references]  Display  Hide  Download

https://hal.inria.fr/hal-01558715
Contributor : Fanny Chevalier <>
Submitted on : Sunday, July 9, 2017 - 2:54:03 PM
Last modification on : Monday, July 10, 2017 - 10:12:43 AM
Long-term archiving on: : Wednesday, January 24, 2018 - 7:05:30 AM

File

daviewer.pdf
Files produced by the author(s)

Identifiers

Citation

Jian Zhao, Fanny Chevalier, Christopher Collins, Ravin Balakrishnan. Facilitating Discourse Analysis with Interactive Visualization. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2012, 18 (12), pp.2639-2648. ⟨10.1109/TVCG.2012.226⟩. ⟨hal-01558715⟩

Share

Metrics

Record views

108

Files downloads

712