Evaluation of Scientific Elements for Text Similarity in Biomedical Publications
| Autor: | Barbara Grune, Daniel Butzke, Mariana Neves |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Focus (computing) Information retrieval Computer science 02 engineering and technology Task (project management) Ranking (information retrieval) 03 medical and health sciences 030104 developmental biology Ranking Similarity (psychology) 0202 electrical engineering electronic engineering information engineering Rhetorical question 020201 artificial intelligence & image processing |
| Zdroj: | ArgMining@ACL |
| Popis: | Rhetorical elements from scientific publications provide a more structured view of the document and allow algorithms to focus on particular parts of the text. We surveyed the literature for previously proposed schemes for rhetorical elements and present an overview of its current state of the art. We also searched for available tools using these schemes and applied four tools for our particular task of ranking biomedical abstracts based on text similarity. Comparison of the tools with two strong baselines shows that the predictions provided by the ArguminSci tool can support our use case of mining alternative methods for animal experiments. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|