ACL RD-TEC 1.0 Summarization of P06-1049
Paper Title:
A BOTTOM-UP APPROACH TO SENTENCE ORDERING FOR MULTI-DOCUMENT SUMMARIZATION
A BOTTOM-UP APPROACH TO SENTENCE ORDERING FOR MULTI-DOCUMENT SUMMARIZATION
Authors: Danushka Bollegala and Naoaki Okazaki and Mitsuru Ishizuka
Primarily assigned technology terms:
- algorithm
- chronological ordering
- computational linguistics
- extraction method
- grouping
- hidden markov
- hidden markov models
- hmms
- information extraction
- learning
- learning approach
- learning framework
- machine learning
- multi-document summarization
- multidocument summarization
- question answering
- sentence extraction
- sentence generation
- sentence ordering
- structuring
- summarization
- supervised learning
- supervised learning approach
- text structuring
- text-generation
- topic detection
Other assigned terms:
- approach
- association for computational linguistics
- background knowledge
- bottom-up approach
- chronological information
- coherence
- corpora
- entity-based coherence
- events
- experimental results
- generation
- heuristic
- knowledge
- large corpora
- linguistics
- markov models
- method
- natural-language
- natural-language text
- nouns
- paragraphs
- probabilistic model
- probability
- rhetorical relations
- segments
- sentence
- sentences
- text
- text structure
- transition probability
