ACL RD-TEC 1.0 Summarization of P05-1009
Paper Title:
TOWARDS DEVELOPING GENERATION ALGORITHMS FOR TEXT-TO-TEXT APPLICATIONS
TOWARDS DEVELOPING GENERATION ALGORITHMS FOR TEXT-TO-TEXT APPLICATIONS
Authors: Radu Soricut and Daniel Marcu
Primarily assigned technology terms:
- algorithm
- automaton
- beam search
- computing
- encoding
- exhaustive search
- final state
- finite-state acceptor
- finite-state automaton
- generation algorithm
- generation framework
- greedy algorithm
- kneser-ney smoothing
- language generation
- machine translation
- meaning representation
- natural language generation
- processing
- pruning
- question answering
- ranking
- recognition
- scoring
- search
- sentence realization
- shortest-path
- smoothing
- speech recognition
- splitting
- summarization
- summarization system
- text-to-text generation
Other assigned terms:
- approach
- bag of words
- beam
- bigram
- bigram language model
- bleu
- case
- community
- compact representation
- context free grammars
- control mechanism
- determiner
- disjunction
- empirical results
- events
- fact
- formalism
- formalisms
- free word order
- generation
- grammars
- heuristic
- heuristics
- language model
- language models
- mapping
- meaning
- measure
- measures
- mechanisms
- multiple word\/phrase choice
- n-gram
- n-gram language model
- natural language
- penman
- phrase
- polynomial time
- probabilistic language model
- probability
- process
- punctuation
- representation formalism
- representation language
- representations
- run-time
- sentence
- sentences
- syntactic relations
- terms
- test data
- text
- theorem
- trigram
- trigram language model
- underspecification
- vertex
- well-formed text
- word
- word choice
- word order
- word sequences
- words
