Matching Questions and Answers in Dialogues from Online Forums
Table 9: The end-to-end performance of all methods on the Ubuntu test dataset.
['Models', 'P', 'R', 'F1']
We randomly sampled 1000 dialogues each with more than 10 turns. Then we annotated the extracted corpus with (Q, A, O) labels as mentioned above. If the current dialogue contains no Q-NQ pairs, it is replaced by a new dialogue with similar number of turns. Finally, we collected 1000 annotated dialogues. The QAs in Ubuntu corpus mainly focus on step-by-step operations and the dialogues are lack of LQAs.