-
[https://aclweb.org/anthology/papers/W/W19/W19-5034/](https://aclweb.org/anthology/papers/W/W19/W19-5034/)
-
From https://tianchi.aliyun.com/dataset/dataDetail?dataId=95414&lang=en-us
-
Hi,
Thank you for the releasing this codebase.
the paper "BioBERT: a pre-trained biomedical language representation model for biomedical text mining"
said BC2GM F1 result is 84.72, but your res…
-
## Description
It would be great to have pubmed bert available in GluonNLP.
## References
- https://www.microsoft.com/en-us/research/blog/domain-specific-language-model-pretraining-for-biomedical…
-
# Unlocking UMLS | Biopragmatics
The Unified Medical Language System (UMLS) is a widely used biomedical and clinical vocabulary maintained by the United States National Library of Medicine. However, …
-
Task: NER
License: Creative Commons
Format: custom
Language: English
Citation: ???
Referenced and used by "Habibi, Maryam, et al. "Deep learning with word embeddings improves biomedical named e…
-
- [LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day](https://arxiv.org/abs/2306.00890)
- [MEDITRON-70B: Scaling Medical Pretraining for Large Language Models](http…
-
Task: NER/NEN, but no NEN for genes and no NER for species, so no canonical NER/NEN
License: custom (included in files)
Format: custom
Citation: @Article{Wang2010,
author = {Wang, Xinglong an…
-
[Improved text ranking with few shot prompting](https://blog.vespa.ai/improving-text-ranking-with-few-shot-prompting/)
- This blog post discusses using large language models (LLMs) to generate labe…
-
Hello! Thanks for the wonderful work and for sharing the pretrained weights.
In your ECCV work (`Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing`), there are seve…