Abstract
AbstractDomain-specific named entity recognition (NER) on Computer Science (CS) scholarly articles is an information extraction task that is arguably more challenging for the various annotation aims that can hamper the task and has been less studied than NER in the general domain. Given that significant progress has been made on NER, we anticipate that scholarly domain-specific NER will receive increasing attention in the years to come. Currently, progress on CS NER – the focus of this work – is hampered in part by its recency and the lack of a standardized annotation aims for scientific entities/terms. Directly addressing these issues, this work proposes a standardized task by defining a set of seven contribution-centric scholarly entities for CS NER viz., research problem, solution, resource, language, tool, method, and dataset. KeywordsNamed entity recognitionInformation extraction
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