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https://liner.com/review/semisupervised-active-learning-for-sequence-labeling Semi-Supervised Active Learning for Sequence Labeling [Quick Review] Regarding this ACL 2009 paper, this review summarizes SeSAL, an active learning approach reducing annotation costs for sequence labeling tasks. active learning sequence labeling quick review semi supervised https://strathprints.strath.ac.uk/77673/ Feature selection and extraction in sequence labeling for arrhythmia detection - Strathprints feature selection sequence labeling arrhythmia detection extraction https://aclanthology.org/P07-1093/ A Maximum Expected Utility Framework for Binary Sequence Labeling - ACL Anthology Martin Jansche. Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics. 2007. expected utility sequence labeling maximum framework binary https://deepai.org/publication/attending-to-characters-in-neural-sequence-labeling-models Attending to Characters in Neural Sequence Labeling Models | DeepAI Nov 14, 2016 - 11/14/16 - Sequence labeling architectures use word embeddings for capturing similarity, but suffer when handling previously unseen or rare w... sequence labeling attending characters neural models https://research.ibm.com/publications/predictive-model-selection-for-transfer-learning-in-sequence-labeling-tasks Predictive Model Selection for Transfer Learning in Sequence Labeling Tasks for EMNLP 2020 - IBM... Predictive Model Selection for Transfer Learning in Sequence Labeling Tasks for EMNLP 2020 by Parul Awasthy et al. predictive model transfer learning sequence labeling selection tasks https://underline.io/lecture/25702-risk-minimization-for-zero-shot-sequence-labeling Risk Minimization for Zero-shot Sequence Labeling | Underline On-demand video platform giving you access to lectures from conferences worldwide. zero shot sequence labeling risk minimization underline https://ai.meta.com/research/publications/a-multi-lingual-multi-task-architecture-for-low-resource-sequence-labeling/ A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling | Facebook AI Research We propose a multi-lingual multi-task architecture to develop supervised models with a minimal amount of labeled data for sequence labeling. In this new... sequence labeling facebook ai multi task architecture https://publikationen.bibliothek.kit.edu/1000166175 Term Extraction as Sequence Labeling Task using Recurrent Neur... term extraction sequence labeling task using recurrent https://www.ixa.eus/node/13867?language=eu T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks | Ixa taldea high quality sequence labeling projection annotation tasks