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Collective Bio Entity Recognition in Scientific Documents using Hinge Loss Markov Random Fields

Alexander Miller, Naum Markenzon,Varun Embar,Lise Getoor

International Workshop on Mining and Learning with Graphs (MLG)（2020）

Cited 1|Views56
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Abstract
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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Key words
scientific documents,fields,bio-entity,hinge-loss
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