CorpusStudio: Surfacing Emergent Patterns in a Corpus of Prior Work while Writing
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866909538744008704 |
|---|---|
| author | Dang, Hai Swoopes, Chelse Buschek, Daniel Glassman, Elena L. |
| author_facet | Dang, Hai Swoopes, Chelse Buschek, Daniel Glassman, Elena L. |
| contents | Many communities, including the scientific community, develop implicit writing norms. Understanding them is crucial for effective communication with that community. Writers gradually develop an implicit understanding of norms by reading papers and receiving feedback on their writing. However, it is difficult to both externalize this knowledge and apply it to one's own writing. We propose two new writing support concepts that reify document and sentence-level patterns in a given text corpus: (1) an ordered distribution over section titles and (2) given the user's draft and cursor location, many retrieved contextually relevant sentences. Recurring words in the latter are algorithmically highlighted to help users see any emergent norms. Study results (N=16) show that participants revised the structure and content using these concepts, gaining confidence in aligning with or breaking norms after reviewing many examples. These results demonstrate the value of reifying distributions over other authors' writing choices during the writing process. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_12436 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | CorpusStudio: Surfacing Emergent Patterns in a Corpus of Prior Work while Writing Dang, Hai Swoopes, Chelse Buschek, Daniel Glassman, Elena L. Human-Computer Interaction Computation and Language H.5.2; I.2.7 Many communities, including the scientific community, develop implicit writing norms. Understanding them is crucial for effective communication with that community. Writers gradually develop an implicit understanding of norms by reading papers and receiving feedback on their writing. However, it is difficult to both externalize this knowledge and apply it to one's own writing. We propose two new writing support concepts that reify document and sentence-level patterns in a given text corpus: (1) an ordered distribution over section titles and (2) given the user's draft and cursor location, many retrieved contextually relevant sentences. Recurring words in the latter are algorithmically highlighted to help users see any emergent norms. Study results (N=16) show that participants revised the structure and content using these concepts, gaining confidence in aligning with or breaking norms after reviewing many examples. These results demonstrate the value of reifying distributions over other authors' writing choices during the writing process. |
| title | CorpusStudio: Surfacing Emergent Patterns in a Corpus of Prior Work while Writing |
| topic | Human-Computer Interaction Computation and Language H.5.2; I.2.7 |
| url | https://arxiv.org/abs/2503.12436 |