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- Jiazhong Nie, Runxin Li, Dingsheng Luo, Xihong Wu
- 2007 IEEE Workshop on Automatic Speechâ€¦
- 2007

As an important component in many speech and language processing applications, statistical language model has been widely investigated. The bigram topic model, which combines advantages of both the traditional n-gram model and the topic model, turns out to be a promising language modeling approach. However, the original bigram topic model assigns the sameâ€¦ (More)

- Yize Li, Jiazhong Nie, Yi Zhang, Bingqing Wang, Baoshi Yan, Fuliang Weng
- COLING
- 2010

The potential benefit of integrating contextual information for recommendation has received much research attention recently, especially with the ever-increasing interest in mobile-based recommendation services. However, context based recommendation research is limited due to the lack of standard evaluation data with contextual information and reliableâ€¦ (More)

We carefully investigate the online version of PCA, where in each trial a learning algorithm plays a k-dimensional subspace, and suffers the compression loss on the next instance when projected into the chosen subspace. In this setting, we give regret bounds for two popular online algorithms, Gradient Descent (GD) and Matrix Exponentiated Gradient (MEG). Weâ€¦ (More)

- Yi Zhang, Jiazhong Nie
- 2010

Many recommender systems might be part of an e-commerce or multi functional system (or portal) where various information about users, products/documents, social networks, and different types of user feedback about products/documents are available. This paper exploits the heterogeneous information a recommender system might collect to make the mostâ€¦ (More)

- Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong Wu
- ECML/PKDD
- 2008

This paper introduces an approach which jointly performs a cascade of segmentation and labeling subtasks for Chinese lexical analysis, including word segmentation, named entity recognition and partof-speech tagging. Unlike the traditional pipeline manner, the cascaded subtasks are conducted in a single step simultaneously, therefore error propagation couldâ€¦ (More)

- Wouter M. Koolen, Jiazhong Nie, Manfred K. Warmuth
- COLT
- 2013

ã€ˆÎ¼,Dã€‰ = âˆ‘ i=1 wi ã€ˆui,uiu T i ã€‰ Gradient descent Mill maintains the two moments ã€ˆÎ¼t,Dtã€‰ âˆˆ U as parameter At trial t = 1 . . . T, the Mill 1. Decomposes parameter ã€ˆÎ¼t,Dtã€‰ into a mixture of directions and draws ut from mixture 2. Receives Wind direction xt and gain E [ (ut xt + c) 2] 3. Updates ã€ˆÎ¼t,Dtã€‰ to ã€ˆÎ¼Ì‚t+1, DÌ‚t+1ã€‰ with the gradient of the expected gainâ€¦ (More)

- Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong Wu
- EMNLP
- 2008

To improve the Mandarin large vocabulary continuous speech recognition (LVCSR), a unified framework based approach is introduced to exploit multi-level linguistic knowledge. In this framework, each knowledge source is represented by a Weighted Finite State Transducer (WFST), and then they are combined to obtain a so-called analyzer for integratingâ€¦ (More)

- Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao
- ArXiv
- 2017

Deep neural networks (DNNs) had great success on NLP tasks such as language modeling, machine translation and certain question answering (QA) tasks. However, the success is limited at more knowledge intensive tasks such as QA from a big corpus. Existing end-to-end deep QA models (Miller et al., 2016; Weston et al., 2014) need to read the entire text afterâ€¦ (More)

- Jiazhong Nie
- 2015

Boosting algorithms can be viewed as a zero-sum game. At each iteration a new column / hypothesis is chosen from a game matrix representing the entire hypotheses class. There are algorithms for which the gap between the value of the sub-matrix (the t columns chosen so far) and the value of the entire game matrix is O( âˆš logn t ). A matching lower bound hasâ€¦ (More)