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Found 4 papers, 1 papers with code
Conical Classification For Efficient One-Class Topic Determination
By noting that the range of documents we wish to identify can be represented as positive linear combinations of the Vector Space Model representing our text, we propose Conical classification, an approach that allows us to identify if a document is of a particular topic in a computationally efficient manner.
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction
We present RadGraph2, a novel dataset for extracting information from radiology reports that focuses on capturing changes in disease state and device placement over time.
Using Color To Identify Insider Threats
Insider threats are costly, hard to detect, and unfortunately rising in occurrence.
Conical Classification For Computationally Efficient One-Class Topic Determination
By noting that the range of documents we wish to identify can be represented as positive linear combinations of the Vector Space Model representing our text, we propose Conical classification, an approach that allows us to identify if a document is of a particular topic in a computationally efficient manner.
