Аннотация құны

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Active Learning and the Total Cost of Annotation

Authors: nan

Publication: TIPSTER (2004)

DOI: nan

Active learning (AL) promises to reduce the cost of annotating labeled datasets for trainable human language technologies. Contrary to expectations, when creating labeled training material for HPSG parse selection and …...

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Ensemble-based Active Learning for Parse Selection

Authors: nan

Publication: TIPSTER (2004)

DOI: nan

Supervised estimation methods are widely seen as being superior to semi and fully unsuper- vised methods. However, supervised methods crucially rely upon training sets that need to be manually annotated. …...

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Good Neighbors Make Good Senses: Exploiting Distributional Similarity for Unsupervised WSD

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Publication: TIPSTER (2008)

DOI: nan

We present an automatic method for sense- labeling of text in an unsupervised manner. The method makes use of distributionally similar words to derive an automatically labeled training set, which …...

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Assessing Benefit from Feature Feedback in Active Learning for Text Classification

Authors: nan

Publication: TIPSTER (2011)

DOI: nan

Feature feedback is an alternative to instance labeling when seeking supervision from hu- man experts. Combination of instance and feature feedback has been shown to reduce the total annotation cost …...

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A Survey of Active Learning for Natural Language Processing

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Publication: TIPSTER (2022)

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AbstractIn this work, we provide a literature review of active learning (AL) for its applications in natural language processing (NLP). In addition to a fine-grained categorization of query strategies, we …...

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