Data · dataset · 2026
Attention-based topics
Listed in REDU - Unicamp Institutional Research Data Repository
This dataset showcases the results obtained by the so-called Attention-based Topics (ABT) method which aims to identify themes covered by collections of sentences.
Description
In each run, the method produces a set of topics in which each topic is associated with a set of its constituent sentences and a set of its most representative words. ABT is parameterized to execute using different language models as a base to produce the topics.
Hence, this output dataset contains the results obtained by the usage of the following language models: Envoy, BERT, BioBERT, BART and all-mpnet. The experiments ´produced a range of 1 up to 200 topics. In this case study we have used as input a collection of 10538 clinical case reports extracted from the CliCR corpus, available at github.com/clips/clicr.
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A clinical case is a detailed assessment that focuses on patients for different reasons - e.g., epidemiology, clinical studies, rare diseases or others.
Links
Where it is published
- Dataverse dataset page redu.unicamp.br/dataset.xhtml?persistentId=doi%3A10.25824%2Fredu%2FR15PFJ ↗
landing page · from redu unicamp br
- DOI doi.org/10.25824/redu/r15pfj ↗
DOI / persistent id · from redu unicamp br
Catalogue records · 1
- Dataverse API redu.unicamp.br/api/datasets/:persistentId/?persistentId=doi%3A10.25824%2Fredu… ↗
metadata API · from redu unicamp br
Topics
- Stated by source
- Computer and Information Science
- From keywords
- Computer Science & AI · Humanities · Machine learning · Natural language processing
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| REDU - Unicamp Institutional Research Data Repository | doi:10.25824/redu/R15PFJ | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:460208 | mapping · redu unicamp br | vocabulary-mapper@1.0.0 | keywords['Natural language processing'] |
| concepts[field].anzsrc:group:4611 | mapping · redu unicamp br | vocabulary-mapper@1.0.0 | keywords['Machine learning'] |
| concepts[field].dataverse_subject:computer-and-information-science | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| created_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| description | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /description |
| publication_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| title | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /name |
| updated_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| version_label | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 |