Perspectives on crowdsourcing annotations for natural language processing
نویسندگان
چکیده
منابع مشابه
Perspectives on crowdsourcing annotations for natural language processing
Crowdsourcing has emerged as a new method for obtaining annotations for training models for machine learning. While many variants of this process exist, they largely differ in their method of motivating subjects to contribute and the scale of their applications. To date, however, there has yet to be a study that helps the practitioner to decide what form an annotation application should take to...
متن کاملPerspectives on Crowdsourcing Annotations for Natural Language Processing1
Crowdsourcing has emerged as a new method for obtaining annotations for training models for machine learning. While many variants of this process exist, they largely differ in their method of motivating subjects to contribute and the scale of their applications. To date, however, there has yet to be a study that helps a practitioner to decide what form an annotation application should take to b...
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Crowdsourcing is increasingly utilized for performing tasks in both natural language processing and biocuration. Although there have been many applications of crowdsourcing in these fields, there have been fewer high-level discussions of the methodology and its applicability to biocuration. This paper explores crowdsourcing for biocuration through several case studies that highlight different w...
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One way of teaching grammar, namely morphology and syntax, is to visualize sentences as diagrams capturing relationships between words. Similarly, such relationships are captured in a more complex way in treebanks serving as key building stones in modern natural language processing. However, building treebanks is very time consuming, thus we have been seeking for an alternative cheaper and fast...
متن کاملCrowdsourcing Annotation for Machine Learning in Natural Language Processing Tasks
Human annotators are critical for creating the necessary datasets to train statistical learners, but annotation cost and limited access to qualified annotators forms a data bottleneck. In recent years, researchers have investigated overcoming this obstacle using crowdsourcing, which is the delegation of a particular task to a large group of untrained individuals rather than a select trained few...
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ژورنال
عنوان ژورنال: Language Resources and Evaluation
سال: 2012
ISSN: 1574-020X,1574-0218
DOI: 10.1007/s10579-012-9176-1