ACL RD-TEC 1.0 Summarization of W04-1108
Paper Title:
COMBINING NEURAL NETWORKS AND STATISTICS FOR CHINESE WORD SENSE DISAMBIGUATION
COMBINING NEURAL NETWORKS AND STATISTICS FOR CHINESE WORD SENSE DISAMBIGUATION
Authors: Zhimao Lu and Ting Liu and Sheng Li
Primarily assigned technology terms:
- algorithm
- back propagation
- categorization
- classifier
- corpus linguistics
- decision tree
- disambiguation
- feature collecting
- feature extraction
- genetic algorithm
- information retrieval
- learning
- learning algorithm
- learning methods
- machine learning
- machine learning methods
- machine translation
- maximum entropy
- maximum entropy model
- mining
- neural network
- neural networks
- nlp
- nlp systems
- recognition
- searching
- sense disambiguation
- smoothing
- statistical approaches
- statistical method
- summarization
- supervised learning
- supervised learning algorithm
- text mining
- text summarization
- text to speech
- unsupervised wsd
- word sense disambiguation
Other assigned terms:
- ambiguous word
- ambiguous words
- analogy
- approach
- chinese corpus
- chinese word
- context words
- contextual feature
- contextual word
- data sparseness
- data sparseness problem
- dictionaries
- dictionary
- distribution
- document
- ellipsis
- entropy
- experimental results
- fact
- feature
- feature vector
- feature vectors
- knowledge
- linguistic
- linguistic corpus
- linguistic phenomenon
- linguistics
- maps
- meaning
- meanings
- measure
- method
- morpheme
- mutual information
- natural language
- network structure
- noise
- open test
- paragraph
- phrase
- precision
- process
- propagation network
- punctuation
- punctuation marks
- research topic
- semantic
- semantic class
- semantic classes
- semantic meaning
- sentence
- sentences
- sigmoid function
- sparse data
- sparseness problem
- statistic
- statistics
- stems
- tagged corpus
- technique
- test corpus
- text
- training
- training corpus
- training samples
- training set
- tree
- verb
- vocabulary
- word
- word sense
- words
- wsd model
