A Study of Chinese Document Representation and Classification with Word2vec
暂无分享,去创建一个
Guijun Wang | Lei Zhu | Xiancun Zou | Guijun Wang | Lei Zhu | X. Zou
[1] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[2] Yoshua Bengio,et al. Neural Probabilistic Language Models , 2006 .
[3] Geoffrey E. Hinton,et al. Three new graphical models for statistical language modelling , 2007, ICML '07.
[4] Yun Zhu,et al. Support vector machines and Word2vec for text classification with semantic features , 2015, 2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC).
[5] Dong Wang,et al. Document classification with distributions of word vectors , 2014, Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific.
[6] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[7] Sungzoon Cho,et al. Bag-of-concepts: Comprehending document representation through clustering words in distributed representation , 2017, Neurocomputing.
[8] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[9] Qun Liu,et al. HHMM-based Chinese Lexical Analyzer ICTCLAS , 2003, SIGHAN.
[10] Baobao Chang,et al. Feature-based Neural Language Model and Chinese Word Segmentation , 2013, IJCNLP.
[11] Peter Wiemer-Hastings,et al. Latent semantic analysis , 2004, Annu. Rev. Inf. Sci. Technol..
[12] Ma Ming-wei. Information-gain-based Text Feature Selection Method , 2012 .
[13] Thomas Hofmann,et al. Probabilistic Latent Semantic Indexing , 1999, SIGIR Forum.
[14] Chang Choi,et al. Word Sense Disambiguation Based on Relation Structure , 2008, 2008 International Conference on Advanced Language Processing and Web Information Technology.
[15] Geoffrey Zweig,et al. Linguistic Regularities in Continuous Space Word Representations , 2013, NAACL.
[16] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[17] A. McCallum,et al. Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[18] Nan Yang,et al. Radical-Enhanced Chinese Character Embedding , 2014, ICONIP.
[19] Choochart Haruechaiyasak,et al. Implementing News Article Category Browsing Based on Text Categorization Technique , 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.
[20] Yue Zhang,et al. Chinese Parsing Exploiting Characters , 2013, ACL.
[21] Xiaoqing Zheng,et al. Deep Learning for Chinese Word Segmentation and POS Tagging , 2013, EMNLP.
[22] Christopher Potts,et al. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank , 2013, EMNLP.
[23] Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013, Kaohsiung, Taiwan, October 29 - November 1, 2013 , 2013, APSIPA.
[24] Ming Zhou,et al. Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification , 2014, ACL.
[25] Andrew Y. Ng,et al. Parsing with Compositional Vector Grammars , 2013, ACL.