Would you Like to Talk about Sports Now? Towards Contextual Topic Suggestion for Open-Domain Conversational Agents
Table 5. Accuracy of the topic suggestion methods compared: Popularity, CF, and Contextual-CF (C-CF) methods, vs. CTS-CRF and CTS-CNN (model-based), vs. CTS-CRF-CF and CTS-CNN-CF (hybrid models). All the results are reported for a window of size five for contextual models. All the improvements are reported based on the strongest baseline, Contextual-CF, where they are statistically significant using a one-tailed Student’s t-test with p-value ¡ 0.05.
['Suggested Topic / Method', 'Popularity', 'CF', 'C-CF', 'CTS-CRF', 'CTS-CNN', 'CTS-RNN', 'CTS-CRF-CF', 'CTS-CNN-CF', 'CTS-RNN-CF']
The proposed CTS models outperform the strongest baseline Contextual-CF method, where CTS-CRF, CTS-CNN, CTS-RNN, CTS-CRF-CF, CTS-CNN-CF, and CTS-RNN-CF outperform the Contextual-CF method by 23%, 4%, 8%, 27%, 18%, and 20% respectively.