Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots
Table 1: Results on STC
['[EMPTY]', 'P@1']
Results: We can see that CNN and LSTM consistently get improved when learned with the proposed approach, and the improvements over the models learned with random sampling are statistically significant (t-test with p-value <0.01). LSTM+WS even surpasses the best performing model, DeepMatchtree, reported on this data. These results indicate the usefulness of the proposed approach in practice. One can expect improvements to models like DeepMatchtree with the new learning method. We leave the verification as future work.