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material ID: citationgraph

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When reviewing scientific literature, it would be useful to have automatic tools that iden- tify the most influential scientific articles as well as how ideas propagate between articles. In this …...

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SPECTER: Document-level Representation Learning using Citation-informed Transformers

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AbstractRepresentation learning is a critical ingredient for natural language processing systems. Recent Transformer language models like BERT learn powerful textual representations, but these models are targeted towards token- and sentence-level …...

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CitationIE: Leveraging the Citation Graph for Scientific Information Extraction

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AbstractAutomatically extracting key information from scientific documents has the potential to help scientists work more efficiently and accelerate the pace of scientific progress. Prior work has considered extracting document-level entity …...

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Scientific Paper Extractive Summarization Enhanced by Citation Graphs

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Publication: TIPSTER (2022)

DOI: nan

AbstractIn a citation graph, adjacent paper nodes share related scientific terms and topics. The graph thus conveys unique structure information of document-level relatedness that can be utilized in the paper …...

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