Collective Bio Entity Recognition in Scientific Documents using Hinge Loss Markov Random Fields
International Workshop on Mining and Learning with Graphs (MLG)(2020)
摘要
Bio-entity recognition systems which identify biological entities in unstructured scientific literature are crucial for information extraction, question answering and summarization [4]. Genes and proteins are two important entity classes recognised by these systems.
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