郑骁庆
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[1] 基于语义的互联网药品信息抽取算法.计算机系统应用.2011,20 (1):41-47
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[2] Generating Responses with a Specific Emotion in Dialog.57Th Annual Meeting of the Association For Computational Linguistics (Acl 2019).2020 :3685-3695
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[3] Jointly learning bilingual word embeddings and alignments.MACHINE TRANSLATION.2021,35 (4):551-569
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[4] Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models.ACL-IJCNLP 2021: THE 59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 2.2021 :441-446
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[5] SPARQL query mediation for data integration.PROCEEDINGS - 21ST WORKSHOP ON INFORMATION TECHNOLOGIES AND SYSTEMS, WITS 2011.2011 :139-144
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[6] SPARQL query mediation over RDF data sources with disparate contexts.CEUR WORKSHOP PROCEEDINGS.2012,937
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[7] 数据结构与算法设计课程国际化建设研究.计算机教育.2013 (18):58-61
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[8] Deep learning for Chinese word segmentation and POS tagging.EMNLP 2013 - 2013 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING, PROCEEDINGS OF THE CONFERENCE.2013 :647-657
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[9] Character-Based Parsing with Convolutional Neural Network.PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI).2015,2015-January :1054-1060
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[10] Context-specific and multi-prototype character representations.IJCAI INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE.2016,2016-January :3007-3013
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[11] Incremental graph-based neural dependency parsing.EMNLP 2017 - CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING, PROCEEDINGS.2017 :655-1665
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[12] Learning context-specific word/character embeddings.31ST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI 2017.2017 :3393-3399