ACL RD-TEC 1.0 Summarization of W98-1202
Paper Title:
NATURAL LANGUAGE LEARNING BY RECURRENT NEURAL NETWORKS: A COMPARISON WRH PROBABILISTIC APPROACHES
NATURAL LANGUAGE LEARNING BY RECURRENT NEURAL NETWORKS: A COMPARISON WRH PROBABILISTIC APPROACHES
Authors: Michael Towsey and Joachim Diederich and lngo Schellhammer and Stephan Chalup and Claudia Brugman
Primarily assigned technology terms:
Other assigned terms:
- abbreviations
- bias
- bigram
- bigram model
- boundary marker
- clause structure
- conditional probabilities
- correlation
- entropy
- error rate
- fact
- feature
- generalisation
- interpretation
- language corpus
- lexical categories
- lexical category
- linguistic
- measure
- measures
- n-gram
- n-gram models
- n-grams
- natural language
- natural language sentences
- noise
- part-of-speech
- phoneme
- prediction uncertainty
- probabilities
- random order
- relation
- relative clauses
- representations
- sentence
- sentence boundaries
- sentence boundary
- sentence structure
- sentences
- standard deviation
- statistics
- structure of a sentence
- syntactic structure
- technique
- test set
- text
- training
- training data
- training set
- trigram
- trigram model
- unigram
- verb
- vocabulary
- word
- word structure
- words
