ACL RD-TEC 1.0 Summarization of W03-0502
Paper Title:
SUB-EVENT BASED MULTI-DOCUMENT SUMMARIZATION
SUB-EVENT BASED MULTI-DOCUMENT SUMMARIZATION
Authors: Naomi Daniel and Dragomir Radev and Timothy Allison
Primarily assigned technology terms:
- abstracting
- algorithm
- automatic extraction
- automatic summarization
- centroid method
- centroid-based summarization
- cluster-based summarization
- clustering
- clustering algorithm
- clustering method
- extraction algorithm
- extractive method
- extractive summarization
- k-means
- k-means clustering
- learning
- learning algorithm
- machine learning
- machine learning algorithm
- multi-document summarization
- multiple-document summarization
- parsing
- partitioning
- query answering
- ranking
- reporting
- sentence clustering
- sentence extraction
- sentence selection
- summarization
- summarization system
- summarizer
- syntactic parsing
- weighting
Other assigned terms:
- approach
- case
- cluster
- clusters
- cosine measure
- document
- document cluster
- document frequency
- events
- fact
- inverse document frequency
- key-word
- measure
- measures
- method
- news journalism
- parameter settings
- process
- query
- relation
- sentence
- sentences
- similarity metric
- technique
- tf \* idf
- topic coverage
- topics
- understanding
- user
- words
