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Disambiguation of "Hsieh, Yu-Lun"

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A Position-Aware Language Modeling Framework for Extractive Broadcast News Speech Summarization.

, , , , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 16 (4): 27:1-27:13 (2017)

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Yu-lun Li

Shelley Ching-yu Hsieh

Samuel Yu-Lung Hsieh

Samuel Yu-Lung Hsieh

Angelika Lun

 

Other publications of authors with the same name

IASL valence-arousal analysis system at IALP 2016 shared task: Dimensional sentiment analysis for Chinese words., , , , and . IALP, page 297-299. IEEE, (2016)Sentiment analysis on Chinese movie review with distributed keyword vector representation., , , , , and . TAAI, page 84-89. IEEE, (2016)A Position-Aware Language Modeling Framework for Extractive Broadcast News Speech Summarization., , , , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 16 (4): 27:1-27:13 (2017)Identifying Protein-protein Interactions in Biomedical Literature using Recurrent Neural Networks with Long Short-Term Memory., , , and . IJCNLP(2), page 240-245. Asian Federation of Natural Language Processing, (2017)Enhanced language modeling for extractive speech summarization with sentence relatedness information., , , , , , and . INTERSPEECH, page 1865-1869. ISCA, (2014)MONPA: 中文命名實體及斷詞與詞性同步標註系統(MONPA: A Multitask Chinese Segmentation, Named-entity and Part-of-speech Annotator)., , , and . ROCLING, page 241-245. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), (2019)Effective pseudo-relevance feedback for language modeling in extractive speech summarization., , , , , , and . ICASSP, page 3226-3230. IEEE, (2014)MONPA: Multi-objective Named-entity and Part-of-speech Annotator for Chinese using Recurrent Neural Network., , , , , and . IJCNLP(2), page 80-85. Asian Federation of Natural Language Processing, (2017)探究新穎語句模型化技術於節錄式語音摘要 (Investigating Novel Sentence Modeling Techniques for Extractive Speech Summarization) In Chinese., , , , , and . ROCLING, Association for Computational Linguistics and Chinese Language Processing (ACLCLP), Taiwan, (2014)Sense decomposition from E-HowNet for word similarity measurement., , and . IRI, page 613-618. IEEE Computer Society, (2014)