A Generative Approach to Titling and Clustering Wikipedia Sections

• URL: http://arxiv.org/abs/2005.11216v1
• Date: Fri, 22 May 2020 14:49:07 GMT
• Title: A Generative Approach to Titling and Clustering Wikipedia Sections
• Authors: Anjalie Field, Sascha Rothe, Simon Baumgartner, Cong Yu, and Abe Ittycheriah
• Abstract summary: We evaluate transformer encoders with various decoders for information organization through a new task: generation of section headings for Wikipedia articles. Our analysis shows that decoders containing attention mechanisms over the encoder output achieve high-scoring results by generating extractive text. A decoder without attention better facilitates semantic encoding and can be used to generate section embeddings.
• Score: 12.154365109117025
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We evaluate the performance of transformer encoders with various decoders for information organization through a new task: generation of section headings for Wikipedia articles. Our analysis shows that decoders containing attention mechanisms over the encoder output achieve high-scoring results by generating extractive text. In contrast, a decoder without attention better facilitates semantic encoding and can be used to generate section embeddings. We additionally introduce a new loss function, which further encourages the decoder to generate high-quality embeddings.

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