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Combining Statistical Machine Learning with Transformation Rule Learning for Vietnamese Word Sense Disambiguation

机译：将统计机器学习与转换规则学习相结合以消除越南语词义歧义

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《Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2012 IEEE RIVF International Conference on》|2012年|p.1-6|共6页
会议地点 Ho Chi Minh City(VN)
作者
Dinh Phu-Hung; Nguyen Ngoc-Khuong; Le Anh-Cuong;
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正文语种 eng
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1. Semi-supervised Learning with Induced Word Senses for State of the Art Word Sense Disambiguation [J] . Ba#351, kaya Osman, Jurgens David The Journal of Artificial Intelligence Research . 2016,第10期

机译：半监督学习与诱导词义相结合，可实现最先进的词义歧义消除
2. Semi-supervised Learning with Induced Word Senses for State of the Art Word Sense Disambiguation [J] . Baskaya Osman, Jurgens David The Journal of Artificial Intelligence Research . 2016,第Null期

机译：半监督学习与诱导词义相结合，可实现最先进的词义歧义消除
3. Unsupervised Machine Learning Approach for Tigrigna Word Sense Disambiguation [J] . Meresa Mebrahtu Reda Computer Engineering and Intelligent Systems . 2018,第6期

机译：Tigrigna词义消歧的无监督机器学习方法
4. Combining Statistical Machine Learning with Transformation Rule Learning for Vietnamese Word Sense Disambiguation [C] . Dinh Phu-Hung, Nguyen Ngoc-Khuong, Le Anh-Cuong IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future . 2011

机译：将统计机器学习与转型规则学习结合越南语感觉歧义
5. Towards high-performance word sense disambiguation by combining rich linguistic knowledge and machine learning approaches. [D] . Chen, Jinying. 2006

机译：通过将丰富的语言知识和机器学习方法结合起来，实现高性能的单词歧义消除。
6. Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues [O] . Hua Xu, Marianthi Markatou, Rositsa Dimova, 2006

机译：生物医学领域的机器学习和单词歧义消除：设计和评估问题
7. CRL at Japanese dictionary-based task of SENSEVAL-2-Comparison of various types of machine learning methods and features in Japanese word sense disambiguation. [O] . MASAKI MURATA, MASAO UTIYAMA, KIYOTAKA UCHIMOTO, 2003

机译：在日语字典的SenseVal-2任务中的CRL-2 - 日语词感歧义中各种类型的机器学习方法和特征的比较。

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