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. |
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| Challenge: | Current summarization systems only produce plain, factual headlines, far from the practical needs for exposure and memorableness of the articles. |
| Approach: | They propose a task to generate relevant headlines with three style options . they propose combining summarization and reconstruction tasks into a multitasking framework . |
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StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation (2023.findings-emnlp)
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| Challenge: | Existing studies on unsupervised headline generation focus on a standard dataset and mono-style corpora. |
| Approach: | They propose an unsupervised approach for stylistic headline generation using a pretrained BART model decorated with adapters responsible for different styles. |
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DivHSK: Diverse Headline Generation using Self-Attention based Keyword Selection (2023.findings-acl)
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| Challenge: | Diverse headline generation is an NLP task where the goal is to generate multiple headlines that are true to the content of the article but are different among themselves. |
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A Case Study on Neural Headline Generation for Editing Support (N19-2)
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Kazuma Murao, Ken Kobayashi, Hayato Kobayashi, Taichi Yatsuka, Takeshi Masuyama, Tatsuru Higurashi, Yoshimune Tabuchi
| Challenge: | a news-aggregator is a website or mobile application that aggregates web content . dozens of professional editors manually create their headlines, which are much shorter than the original headlines. |
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Updated Headline Generation: Creating Updated Summaries for Evolving News Stories (2022.acl-long)
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| Challenge: | Existing systems that generate headlines for updated articles are not as efficient as static ones. |
| Approach: | They propose a task where a system generates a headline for an updated article, considering both the previous article and headline. |
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MediaHG: Rethinking Eye-catchy Features in Social Media Headline Generation (2023.emnlp-main)
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| Challenge: | Creating a good headline on social media platforms requires a disentanglement-based model to balance the content and contextual features. |
| Approach: | They propose a disentanglement-based headline generation model which can balance the content and contextual features by incorporating contrastive learning and auxiliary multi-tasking to choose the best domain-suitable headline. |
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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 . |
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Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation (2020.emnlp-main)
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| Challenge: | Existing methods for news headline generation focus on producing a single short sentence . et al., 2017; Gehrmann e.t., 2018; Zhong ee., 2019) focus on single-headline generation. |
| Approach: | They propose a method to generate multiple headlines with keyphrases of user interests . they propose generating multiple keyphrase-relevant headlines using a transformer decoder . |
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Extractive Headline Generation Based on Learning to Rank for Community Question Answering (C18-1)
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| Challenge: | Community question answering (CQA) forums do not always have appropriate headlines because of user-generated content. |
| Approach: | They propose an extractive headline generation method that extracts the most informative substring from each question as its headline. |
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Generating User-Engaging News Headlines (2023.acl-long)
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| Challenge: | Personalized news recommendation systems present the same headline to all users, making it difficult for them to understand the connection between their interests and the recommended article. |
| Approach: | They propose a framework that incorporates user profiling to generate personalized headlines and a combination of automated and human evaluation methods to determine user preference for personalized headline generation. |
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