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Spoken Multiple-Choice Question Answering Using Multimodal Convolutional Neural Networks.

, , , and . ASRU, page 772-778. IEEE, (2019)

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On the Range Maximum-Sum Segment Query Problem., and . ISAAC, volume 3341 of Lecture Notes in Computer Science, page 294-305. Springer, (2004)Query modeling for spoken document retrieval., , and . ASRU, page 389-394. IEEE, (2011)Extractive speech summarization leveraging convolutional neural network techniques., , , and . SLT, page 158-164. IEEE, (2016)Leveraging relevance cues for language modeling in speech recognition., and . Inf. Process. Manag., 49 (4): 807-816 (2013)A 0.31-pJ/bit 20-Gb/s DFE With 1 Discrete Tap and 2 IIR Filters Feedback in 40-nm-LP CMOS., , and . IEEE Trans. Circuits Syst. II Express Briefs, 64-II (11): 1282-1286 (2017)Toward Zero-Shot and Zero-Resource Multilingual Question Answering., and . IEEE Access, (2022)Manufacturing-Aware Power Staple Insertion Optimization by Enhanced Multi-Row Detailed Placement Refinement., , and . ASP-DAC, page 872-877. ACM, (2021)Chinese Movie Dialogue Question Answering Dataset., , , , , and . ROCLING, page 7-14. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), (2022)GALs: 基於對抗式學習之整列式摘要法 (GALs: A GAN-based Listwise Summarizer)., and . ROCLING, page 15-24. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), (2019)可讀性預測於中小學國語文教科書及優良課外讀物之研究(A Study of Readability Prediction on Elementary and Secondary Chinese Textbooks and Excellent Extracurricular Reading Materials) In Chinese., , , and . ROCLING, Association for Computational Linguistics and Chinese Language Processing (ACLCLP), Taiwan, (2015)