Distributed Representations of Ambiguous Words and Their Resolution in a Connectionist Network
Alan H. Kawamoto, Program in Experimental Psychology, University of California, Santa Cruz
Publisher Summary
This chapter shows how a distributed representation of ambiguous words captures the effects of frequency and contextual biases quite naturally. Moreover, the flexibility of this type of representation allows both polysemy and ambiguity to be treated identically, and suggests how neologisms can be handled. Although the use of distributed representations in psychology is not very widespread, these ideas are continually explored because of the demonstrations of their utility in a variety of different domains. The chapter also explores ...
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