Sentence processing with realistic feedback

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.<
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