ACL RD-TEC 1.0 Summarization of C04-1129
Paper Title:
SYNTACTIC SIMPLIFICATION FOR IMPROVING CONTENT SELECTION IN MULTI-DOCUMENT SUMMARIZATION
SYNTACTIC SIMPLIFICATION FOR IMPROVING CONTENT SELECTION IN MULTI-DOCUMENT SUMMARIZATION
Authors: Advaith Siddharthan and Ani Nenkova and Kathleen McKeown
Primarily assigned technology terms:
- algorithm
- automated evaluation
- automatic evaluation
- automatic scoring
- back-tracking
- backtracking
- clustering
- clustering algorithm
- content selection
- content-selection
- document understanding
- entity tagger
- extractive summarization
- information fusion
- multi-document summarization
- named entity tagger
- pos-tagging
- preprocessing
- pruning
- reference generation
- scoring
- sentence clustering
- sentence extraction
- sentence-clustering approach
- splitting
- summarization
- summarization evaluation
- summarizer
- surface analysis
- tagger
- the document understanding
Other assigned terms:
- animacy
- approach
- background information
- case
- cluster
- clusters
- co-reference
- coherence
- cohesion
- correlation
- data set
- discourse
- distribution
- document
- document set
- document sets
- empty string
- evaluation metric
- evaluations
- events
- generation
- generation task
- human performance
- hypothesis
- implementation
- incremental approach
- keyword
- lexical cohesion
- local context
- measures
- n-gram
- named entity
- probability
- process
- pronoun
- pronouns
- relative clause
- relative clauses
- scoring metric
- sentence
- sentences
- similarity metric
- similarity scores
- standard deviation
- synonymy
- text
- tf \* idf
- understanding
- word
- wordnet
- words
