ACL RD-TEC 1.0 Summarization of W98-1209
Paper Title:
KNOWLEDGE EXTRACTION AND RECURRENT NEURAL NETWORKS: AN ANALYSIS OF AN ELMAN NETWORK TRAINED ON A NATURAL LANGUAGE LEARNING TASK
KNOWLEDGE EXTRACTION AND RECURRENT NEURAL NETWORKS: AN ANALYSIS OF AN ELMAN NETWORK TRAINED ON A NATURAL LANGUAGE LEARNING TASK
Authors: Ingo Schellhammer and Joachim Diederich and Michael Towsey and Claudia Brugman
Primarily assigned technology terms:
- artificial neural networks
- automaton
- cluster analysis
- clustering
- deterministic finite state automaton
- elman network
- finite state
- finite state automaton
- hierarchical clustering
- k-means
- k-means clustering
- knowledge extraction
- language learning
- language processing
- learning
- learning task
- natural language learning
- natural language processing
- network learning
- network training
- neural network
- neural networks
- processing
- state automaton
Other assigned terms:
- bias
- case
- cluster
- clusters
- comprehensibility
- dimensionality
- domain knowledge
- generalisation
- grammar
- heuristic
- knowledge
- language corpus
- language processing task
- method
- natural language
- probabilities
- representations
- sentence
- sentence structure
- sentences
- statistics
- technique
- term
- text
- theory
- training
- training data
- training set
- transition probabilities
- trigram
- trigram model
- word
- words
