MEAD
Year: 2,004
Journal: Information Processing & Management
Programming languages: Perl
Input data:
The input to MEAD is a cluster of articles (e.g., extracted by CIDR), segmented into sentences and a value for the compression rate R.
Output data:
The output is a sequence of n∗r sentences from the original documents presented in the same order as the input documents.
Project website: https://github.com/PKULCWM/PKUSUMSUMpart%20of%20the%20code
MEAD is the most elaborate publicly available platform for multi-lingual summarization and evaluation.The platform implements multiple summarization algorithms such as position-based, centroid-based, largest common subsequence, and keywords. The methods for evaluating the quality of the summaries are both intrinsic and extrinsic. MEAD implements a battery of summarization algorithms, including baselines (lead-based and random) as well as centroid-based and query-based methods.