ACL RD-TEC 1.0 Summarization of W00-0404
Paper Title:
EXTRACTING KEY PARAGRAPH BASED ON TOPIC AND EVENT DETECTION TOWARDS MULTI-DOCUMENT SUMMARIZATION
EXTRACTING KEY PARAGRAPH BASED ON TOPIC AND EVENT DETECTION TOWARDS MULTI-DOCUMENT SUMMARIZATION
Authors: Fumiyo Fukumoto and Yoshimi Suzuki
Primarily assigned technology terms:
- algorithm
- collapsing
- detection and tracking
- document summarization
- event detection
- event extraction
- event tracking
- extraction technique
- graph matching
- identification
- inner product
- instantiation
- keyword extraction
- language generation
- matching
- message understanding
- multi-document smnmarization
- multi-document summarization
- nlp
- paragraph extraction
- paragraph-based summarization
- paraphrasing
- passage extraction
- qualitative evaluation
- single document summarization
- single-document summarization
- single-document summarizer
- smnmarization
- statistical techniques
- summarization
- summarization evaluation
- summarizer
- syntactic analysis
- tagger
- tdt evaluation
- text summarization
- text summarization evaluation
- tile
- topic detection
- topic detection and tracking
- topic extraction
- transcription
- vector representation
Other assigned terms:
- ambiguity
- approach
- background information
- bosnian
- broadcast news
- broadcast news speech
- clusters
- corpora
- discourse
- discourse structure
- distribution
- document
- evaluation measure
- events
- fact
- feature
- fixed-length summary
- generation
- information content
- keyword
- knowledge
- measure
- message
- message understanding conferences
- method
- multi-document summarization task
- noise
- nouns
- paragraph
- paragraphs
- passage
- precision
- semantic
- semantic relations
- sentences
- statistics
- summarization task
- technique
- technology
- term
- term frequency
- terms
- test data
- test set
- text
- tf \* idf
- theme intersection
- topics
- training
- training data
- training documents
- training set
- understanding
- wall street journal corpus
- word
- word distribution
- word features
- words
