Papers with Headline generation

2 papers
Contrastive Learning enhanced Author-Style Headline Generation (2022.emnlp-main)

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Challenge: Current work only uses the article itself in the headline generation, but have not taken the writing style of headlines into account.
Approach: They propose a model which takes historical headlines into account to integrate the stylistic features of the author into the model and integrate them into the decoder.
Outcome: The proposed model can integrate the stylistic features of the author into the model and generate a headline that is appropriate for the article and consistent with the author’s style.
NumHG: A Dataset for Number-Focused Headline Generation (2024.lrec-main)

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Challenge: a lack of fine-grained annotations for accurate numeral generation in headlines is a major roadblock . a new dataset, the NumHG, provides over 27,000 annotated numeral-rich news articles for detailed investigation .
Approach: They propose a dataset that provides annotated numerals for headline generation . they evaluate five well-performing headline-generation models using human evaluation .
Outcome: The proposed dataset provides annotated numeral-rich news articles for detailed investigation.

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