A Two-Stage Approach for Computing Associative Responses to a Set of Stimulus Words

摘要

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.