# Assertion Detection in Clinical Notes: Medical Language Models to the Rescue?

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/assertion-detection-in-clinical-notes-medical-language-models-to-the-rescue/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Betty van Aken,Ivana Trajanovska,Amy Siu,Manuel Mayrdorfer,Klemens Budde,Alexander Loeser |
| Citations | 26 |
| DOI | 10.18653/v1/2021.nlpmc-1.5 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://aclanthology.org/2021.nlpmc-1.5.pdf |
| OpenAlex ID | https://openalex.org/W3171324702 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Manuel Mayrdorfer](https://scholariq.org/researchers/manuel-mayrdorfer/)

## Paper primary topic

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

## Paper topics

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.