A comparative study of abstractive and extractive summarization techniques to label subgroups on patent dataset
Bibliographic Data
| ID | 21441489 |
|---|---|
| Authors | Cinthia M Souza (0000-0001-6698-2754, Pontifícia Universidade Católica de Minas Gerais), Magali R G Meireles (0000-0001-6928-7132, Pontifícia Universidade Católica de Minas Gerais, corresponding author), Paulo E M Almeida (0000-0002-2181-4746, Federal Center for Technological Education of Minas Gerais) |
| Year | 2021 |
| Volume | 126 |
| Issue | 1 |
| Pages | 135-156 |
| Publication date | 2021-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-020-03732-x |
| OpenAlex | W3093466032 |
| Language | EN |
| Citations received | 3 |
| References cited | 33 |
Automatic summarization · Cluster analysis · Domain (mathematical analysis) · Information retrieval · Natural language processing · Process (computing) · Sentence · Set (abstract data type) · Task (project management) · Trademark · Advanced Text Analysis Techniques · Artificial Intelligence · Biomedical Text Mining and Ontologies · Computer Science · Mathematics · Topic Modeling
| Citations per year | 0.75 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |