ACL RD-TEC 1.0 Summarization of P01-1064
Paper Title:
A STATISTICAL MODEL FOR DOMAIN-INDEPENDENT TEXT SEGMENTATION
A STATISTICAL MODEL FOR DOMAIN-INDEPENDENT TEXT SEGMENTATION
Authors: Masao Utiyama and Hitoshi Isahara
Primarily assigned technology terms:
- algorithm
- domain-dependent text segmentation
- domain-independent text segmentation
- dynamic programming
- hidden markov
- hidden markov model
- japanese morphological analysis
- java
- markov model
- morphological analysis
- news story segmentation
- recursive segmentation
- segmentation
- segmentation system
- segmenter
- statistical method
- story segmentation
- summarization
- taggers
- text segmentation
- texttiling
Other assigned terms:
- approach
- broadcast news
- brown corpus
- case
- corpora
- distribution
- document
- error metric
- hypothesis
- message
- method
- named entities
- normal distribution
- null hypothesis
- paragraphs
- part-of-speech
- prior probability
- probabilistic approach
- probabilities
- probability
- procedure
- punctuation
- segment boundaries
- segmentation accuracy
- segments
- sentences
- standard deviation
- statistical model
- statistics
- symbols
- tags
- term
- terms
- test corpus
- text
- text length
- text segments
- tokens
- topics
- training
- training data
- transcriptions
- vertex
- word
- word sequence
- words
