Clinical information extraction using small data: An active learning approach based on sequence representations and word embeddings

Research article (Journal of the Association for Information Science and Technology, 2017) · cited 15× · AI/ML
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Clinical information extraction using small data: An active learning approach based on sequence representations and word embeddings

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Clinical information extraction using small data: An active learning approach based on sequence representations and word embeddings is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Clinical information extraction using small data: An active learning approach based on sequence representations and word embeddings. Retrieved May 24, 2026, from https://4ort.xyz/entity/clinical-information-extraction-using-small-data-an-active-learning-approach-based-on-sequence-representations-and-word-
MLA “Clinical information extraction using small data: An active learning approach based on sequence representations and word embeddings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/clinical-information-extraction-using-small-data-an-active-learning-approach-based-on-sequence-representations-and-word-.
BibTeX @misc{4ortxyz_clinical-information-extraction-using-small-data-an-active-learning-approach-based-on-sequence-representations-and-word-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Clinical information extraction using small data: An active learning approach based on sequence representations and word embeddings}}, year = {2026}, url = {https://4ort.xyz/entity/clinical-information-extraction-using-small-data-an-active-learning-approach-based-on-sequence-representations-and-word-}, note = {Accessed: 2026-05-24}}
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