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y research spans two broad areas: Natural Language Processing and Machine Learning. Understanding human language by computers has been a central goal of AI. Human language is an intricate system; each sentence has its own grammatical structure, inter-connected references, and set of possible meanings. The field of Natural Language Processing (NLP) aims to build computational models of language in order to make predictions based on real-world textual data. Example applications of NLP include machine translation, information extraction, and question answering. Tools developed for these problems are increasingly becoming part of daily life, from speech and dialogue systems on mobile devices to structured search on the web to real-time translation. NLP is a rich intersection of formal modeling, applied algorithms and scalable data systems, and has served as an important application domain for related fields such as Machine Learning (ML).
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论文共 233 篇作者统计合作学者相似作者
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CoRR (2024)
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Haolan Zhan,Yufei Wang,Tao Feng,Yuncheng Hua,Suraj Sharma,Zhuang Li,Lizhen Qu, Zhaleh Semnani Azad, Ingrid Zukerman,Gholamreza Haffari
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CoRR (2024)
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Haolan Zhan,Zhuang Li,Xiaoxi Kang,Tao Feng,Yuncheng Hua,Lizhen Qu,Yi Ying, Mei Rianto Chandra,Kelly Rosalin, Jureynolds Jureynolds,Suraj Sharma, Shilin Qu,
CoRR (2024)
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CoRR (2024)
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CoRR (2024): 740-752
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