Evaluation of Extractive Summarization Techniques on AAN TutorialBank Corpus
Explore the evaluation of extractive summarization techniques on PowerPoint presentations and HTML pages from the AAN TutorialBank Corpus by Yijiao He, Alexander R. Fabbri, and Dragomir Radev. The study focuses on creating a summarization tool for knowledge areas, comparing different algorithms, and analyzing performance. Results include precision-recall outputs from information retrieval using Trec_Eval.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
Evaluation of Extractive Summarization Techniques on Powerpoint presentations and HTML pages from the AAN TutorialBank Corpus Yijiao He, Alexander R Fabbri, Dragomir Radev Department of Computer Science, Yale School of Engineering and Applied Sciences, New Haven, CT
Introduction Motivation Create tool that can be used to summarize the key points of knowledge areas Aim Perform information retrieval on the AAN dataset Compare the performance of different extractive summarization algorithms Focus on Powerpoint tutorials and HTML webpages
Conclusion Figure 2. Precision Recall output from information retrieval using Trec_Eval.
