Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries
Informations
- Type:
- inproceedings
- Auteurs:
- Dang, Hai and Benharrak, Karim and Lehmann, Florian and Buschek, Daniel
- Pertinence:
-
Haute
- Référence:
- Doi:
- 10.1145/3526113.3545672
- Mots-clés:
- semantic zoom, text summarization, Natural Language Processing, reverse outlining, Text documents
- Url:
- https://doi.org/10.1145/3526113.3545672
- Date de publication:
- 10/2022
- Résumé:
- éditeur de texte qui génère des résumés des paragraphes d'un texte. Offre une vue au niveau et structurée d'un text en cours de rédaction.
- Abstract:
- We propose a text editor to help users plan, structure and reflect on their writing process. It provides continuously updated paragraph-wise summaries as margin annotations, using automatic text summarization. Summary levels range from full text, to selected (central) sentences, down to a collection of keywords. To understand how users interact with this system during writing, we conducted two user studies (N=4 and N=8) in which people wrote analytic essays about a given topic and article. As a key finding, the summaries gave users an external perspective on their writing and helped them to revise the content and scope of their drafted paragraphs. People further used the tool to quickly gain an overview of the text and developed strategies to integrate insights from the automated summaries. More broadly, this work explores and highlights the value of designing AI tools for writers, with Natural Language Processing (NLP) capabilities that go beyond direct text generation and correction.
- Pdf:
- Lien pdf
Références
1 articles
Titre | Type | Pertinence | Auteurs | Date Publication | Références | Citations | Actions |
---|---|---|---|---|---|---|---|
Wordcraft: Story Writing With Large Language Models | inproceedings | Haute | Yuan, Ann and Coenen, Andy and Reif, Emily and Ippolito, Daphne | 03/2022 | 3 | 6 |
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