A Generative Approach to Titling and Clustering Wikipedia Sections
Table 2: Results on Wikipedia section heading generation over the full test set.
['[EMPTY]', 'Rouge-1', 'Rouge-L', 'Exact']
Our main task is to generate a Wikipedia section title given the section text. Rouge-1 measures the unigram overlap between the generated text and the reference text; Rouge-L measures the longest subsequence that occurs in both the generated text and the reference; exact match measures if the generated text exactly matches the reference. The Rnn+Attn model performs the best overall. The Trans and the Rnn+Sc models perform approximately the same, and both outperform the regular Rnn model.