A Two-Stage Approach for Computing Associative Responses to a Set of Stimulus Words.
CogALexCOLING（2014）
Language Technologies Research Center IIIT-Hyderabad
Abstract
This paper describes the system submitted by the IIIT-H team for the CogALex-2014 shared task on multiword association. The task involves generating a ranked list of responses to a set of stimulus words. The two-stage approach combines the strength of neural network based word embeddings and frequency based association measures. The system achieves an accuracy of 34.9% over the test set.
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