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MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers., , and . CoRR, (2020)A tunable optical tapped-delay-line that simultaneously and independently processes multiple input WDM data signals., , , , , , , , , and 1 other author(s). OFC/NFOEC, page 1-3. IEEE, (2013)Experimental demonstration of tunable optical channel slicing and stitching to enable dynamic bandwidth allocation., , , , , , , , , and 4 other author(s). OFC, page 1-3. IEEE, (2017)Experimental demonstration of robustness and accuracy of an MZI-based OSNR monitor under transmitter drift and reconfigurable networking conditions for pol-muxed 25-Gbaud QPSK and 16-QAM channels., , , , , , , , , and 7 other author(s). OFC, page 1-3. IEEE, (2014)Example-Based Named Entity Recognition., , , , and . CoRR, (2020)TAPEX: Table Pre-training via Learning a Neural SQL Executor., , , , , , and . ICLR, OpenReview.net, (2022)Experimental demonstration of Raman-assisted phase sensitive amplifier with negligible gain/power fluctuation., , , , , , , , , and 2 other author(s). ECOC, page 1-3. IEEE, (2015)Partial Federated Learning., , , , , , , , and . CoRR, (2024)Experimental demonstration of phase-sensitive regeneration of a 10-20 Gb/s BPSK channel without a phase-locked loop using Brillouin amplification., , , , , , , , , and 6 other author(s). OFC, page 1-3. IEEE, (2016)Demonstration of tunable mitigation of interchannel interference of spectrally overlapped 16-QAM/QPSK data channels using wave mixing of delayed copies., , , , , , , , , and 4 other author(s). OFC, page 1-3. IEEE, (2017)