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HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate Semantic Textual Similarity.

. SemEval@ACL, page 130-133. Association for Computational Linguistics, (2017)

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The Use of MODIS-NDVI Data for Mapping Cropland across the Great Lakes Basin, USA., and . IGARSS (5), page 196-199. IEEE, (2008)HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate Semantic Textual Similarity.. SemEval@ACL, page 130-133. Association for Computational Linguistics, (2017)Comparison of Early Stopping Criteria for Neural-Network-Based Subpixel Classification., , and . IEEE Geosci. Remote. Sens. Lett., 8 (1): 113-117 (2011)Sequential organization of speech in computational auditory scene analysis., and . Speech Commun., 51 (8): 657-667 (2009)Dual-Channel Networks With Optimal-Band Selection Strategy for Arbitrary Cropped Hyperspectral Images Classification., , and . IEEE Geosci. Remote. Sens. Lett., (2022)Incorporating Auditory Feature Uncertainties in Robust Speaker Identification., , and . ICASSP (4), page 277-280. IEEE, (2007)Robust speaker identification using a CASA front-end., , and . ICASSP, page 5468-5471. IEEE, (2011)An auditory-based feature for robust speech recognition., , , and . ICASSP, page 4625-4628. IEEE, (2009)A computational auditory scene analysis system for robust speech recognition., , , and . INTERSPEECH, ISCA, (2006)Electronic Performance Monitoring and Stress: The Role of Feedback and Goal Setting., and . HCI (1), page 1011-1016. Elsevier, (1993)