Discourse Coherence in the Wild: A Dataset, Evaluation and Methods
Table 10: Classification accuracy of ParSeq when trained on data from all four domains.
['[EMPTY]', '[BOLD] Test accuracy Yahoo', '[BOLD] Test accuracy Clinton', '[BOLD] Test accuracy Enron', '[BOLD] Test accuracy Yelp']
These results indicate that we might be able to train a better coherence model by combining all our data across multiple domains. With four times as much training data, the performance of ParSeq improves in all domains, indicating that better coherence models may be trained from data outside of a specific, narrow domain.