Title :
Sentence processing with realistic feedback
Author :
Schulenburg, David
Author_Institution :
Dept. of Inf. & Comput. Sci., California Univ., Irvine, CA, USA
Abstract :
The author presents a connectionist natural language processing model, SAIL1, which uses a recurrent network topology to process English sentences. SAIL1 will build the sentence meaning representation incrementally, incorporating into the meaning only the information derived from words prior to the current word. The network is trained only on that part of the sentence meaning representing the data presented up to that time. Thus, the recurrent feedback is said to be realistic. SAIL1 has demonstrated its usefulness by successfully generalizing to create meaning representations for novel sentences
Keywords :
feedback; natural languages; recurrent neural nets; English sentences; SAIL1; connectionist natural language processing model; realistic feedback; recurrent network topology; sentence processing; Backpropagation algorithms; Computer science; Instruments; Natural language processing; Natural languages; Network topology; Output feedback;
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
DOI :
10.1109/IJCNN.1992.227243
