ACL RD-TEC 1.0 Summarization of P06-1042
Paper Title:
ERROR MINING IN PARSING RESULTSAuthors: Benoît Sagot and Éric
ERROR MINING IN PARSING RESULTS
Authors: Benoît Sagot and Éricde La Clergerie
Primarily assigned technology terms:
- algorithm
- computational linguistics
- data representation
- database
- deep parsing
- dynamic generation
- easy parsing
- error mining
- error recovery
- error recovery and tolerance
- iterative algorithm
- iterative process
- lazy evaluation
- maximum entropy
- mining
- normalization
- parser
- parsers
- parsing
- parsing system
- perl script
- processing
- pruning
- ranking
- segmentation
- segmenter
- smoothing
- spelling-error correction
- tokenization
- transcription
- visualization
Other assigned terms:
- ambiguity
- annotation
- approach
- association for computational linguistics
- bigram
- case
- characters
- convergence
- corpora
- data structures
- entropy
- estimation
- fact
- forest
- formalisms
- frame
- french
- generation
- grammar
- grammars
- heuristic
- implementation
- large corpora
- large corpus
- lexica
- lexical entry
- lexical information
- lexicon
- linguistics
- linguists
- measure
- measures
- morphological information
- n-grams
- noise
- parse
- parsing evaluation
- probabilistic model
- probability
- probability distributions
- process
- punctuation
- sentence
- sentences
- size of the corpus
- statistical information
- statistics
- style
- symbol
- syntactic information
- technique
- text
- tokens
- transcriptions
- unigram
- user
- words
