Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
TABLE VI: Evaluation results of our proposed U2U matching framework on the test set of the Ubuntu Dialogue Corpus V2. The RNN suffix of the U2U model denotes replacing the attention aggregation with the RNN aggregation in the aggregation module.
['Model', '[BOLD] R2@1', '[BOLD] R10@1', '[BOLD] R10@2', '[BOLD] R10@5']
One key characteristic of the U2U matching framework is the response aggregation step that generates a single embedding vector based on the embedding vectors of response utterances. We can see than the U2U-IMN model with the default attention strategy for response aggregation achieved slightly better performance than that with RNN aggregation, which supported our assumption that the chronological relationships among utterances in short sequences may not be essential in the aggregation module. Some further analysis on these two aggregation strategies are given in the following.