idopinto/ts-aspire-biomed-specter2

Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. --> tsAspire model included in a paper for modeling fine-grained similarity between documents in the biomedical domain fine-tuned from Specter2-base.

Title: "Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity"

Authors: Sheshera Mysore, Arman Cohan, Tom Hope

Paper: https://arxiv.org/abs/2111.08366

Github: https://github.com/allenai/aspire

Note: In the context of the paper, this model is referred to as tsAspire and represents the papers proposed multi-vector model for fine-grained scientific document similarity.

Refer to https://huggingface.co/allenai/aspire-contextualsentence-singlem-biomed for more details and usage.

Base Model: https://huggingface.co/allenai/specter2_base

Evaluation Results

Differences might be in co-citations training data which constructed from scratch from different release of S2ORC (originaly, 2019-09-28, which I didn't have access to.)