SPECTER SPECTER is a pre trained language model to generate document level embedding of documents. It is pre trained on a powerful signal of document level relatedness: the citation graph. Unlike existing pretrained language models, SPECTER can be easily applied to downstream applications without task specific fine tuning. If you're coming here because you want to embed papers, SPECTER has now been superceded by SPECTER2. Use that instead. Paper: SPECTER: Document level Representation Learning using Citation informed Transformers Original Repo: Github Evaluation Benchmark: SciDocs Authors: Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld
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