ACL RD-TEC 1.0 Summarization of N06-2032
Paper Title:
STORY SEGMENTATION OF BROADCAST NEWS IN ENGLISH, MANDARIN AND ARABIC
STORY SEGMENTATION OF BROADCAST NEWS IN ENGLISH, MANDARIN AND ARABIC
Authors: Andrew Rosenberg and Julia Hirschberg
Primarily assigned technology terms:
- adaptive language modeling
- algorithm
- anaphora resolution
- approximation
- automatic annotation
- binary classi cation
- boundary detection
- boundary prediction
- classi cation
- classi er
- feature selection
- java
- language modeling
- learning
- machine learning
- modeling
- news story segmentation
- part-ofspeech tagging
- porter stemmer
- question-answering
- recognition
- rule-induction
- segmentation
- segmentation system
- sentence segmentation
- speech analysis
- speech recognition
- stemmer
- story boundary prediction
- story segmentation
- summarization
- tagging
- texttiling
- transcription
Other assigned terms:
- alignment information
- anaphora
- anchor
- annotation
- approach
- binary features
- broadcast news
- broadcast news audio
- content words
- corpora
- cosine similarity
- cue phrases
- english corpus
- f-measure
- feature
- feature set
- feature sets
- hypothesis
- implementation
- lexical chains
- lexical features
- lexical information
- lexical similarity
- likelihood
- mandarin chinese
- measure
- measures
- method
- modern standard arabic
- news audio
- part-ofspeech
- phrase
- precision
- procedure
- process
- pronouns
- sentence
- sentence boundaries
- sentence boundary
- sentence position
- sentences
- similarity scores
- source language
- speaker identity
- speaking rate
- standard arabic
- standard deviation
- stem
- style
- television
- terms
- text
- training
- training corpus
- training data
- transcripts
- vowel
- word
- words
