International Workshop on Intelligent Information Access

Automated Text Summarization using MEAD: Experience with the IMF Staff Reports

author: Shuhua Liu, Åbo Akademi University

Categories

Top: Computer Science: Machine Learning: Human Language Technology
Top: Computer Science: Text Mining

You might be experiencing some problems with Your Video player.

*Slides*
0:01	Automated Text Summarization Using MEAD: Experience with the IMF Staff Reports
1:31	Text Summarization pt 1
4:04	Text Summarization pt 2
6:26	MEAD
7:57	Sentence Extraction Methods in MEAD pt 1
9:17	Sentence Extraction Methods in MEAD pt 2
10:11	Sentence Extraction Methods in MEAD pt 3
10:35	Re-rankers
11:37	MEAD Graphical User Interface pt 1
13:01	MEAD Graphical User Interface pt 2
13:42	Some Experience with Summarizing IMF Staff Reports using MEAD
14:31	IMF Staff Reports pt 1
15:28	Summary Evaluation Methods Used
16:40	Experiment 1: IDF Dictionary
17:47	Four IDF Dictionaries
18:40	Results
19:48	Experiment 2: Random method
20:09	Experiment 2: Overlap
20:25	Experiment 2: LSA
20:37	Experiment 3: Re-ranker
20:46	Experiment 3: Overlap
21:01	Experiment 3: LSA
21:10	Experiment 4: Paragraph lead-based
21:46	Experiment 4: Overlap
22:28	Summary of the Results and Insights pt 1
24:15	Summary of the Results and Insights pt 2
25:59	How to Improve the MEAD Outputs?

Lecture rating

People found this lecture:
Worth seeing
because it is:
Valuable and informative
Well presented
Easily understandable
Acceptably recorded
You need to login to cast your vote.

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.