Author details

< Back

Huizhen Wang

Publications

Citations

190

Publications by Year

20082011

Co-Authors:

Xiaoxu FeiMatthew MaFeiliang RenKeh-Yih SuBenjamin K. Tsou

Show All Co-Authors (9)

Huizhen Wang

Affiliation

Key Laboratory of Medical Image Computing (Ministry of Education)

the Institute of Computer Software

College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China

Publication Topics

Chinese Translation,
Maximum Entropy Model,
Named Entity Recognition,
Parallel Corpus,
Text Classification,
Translation Method,
Chinese Name,
Chinese Words,
Correct Translation,
English Translation,
Function Words,
Iterative Learning

Biography

Huizhen Wang received the PhD degree in computer science from Northeastern University, Shenyang, China, in 2008. She has been with the Institute of Computer Software and Theory at Northeastern University since 2008. Currently, she is a lecturer in the Department of Computer Science. She has published more than 30 papers. Her current research interests include knowledge engineering, opinion mining, and machine learning for natural language processing.(Based on document published on 4 February 2011).

Publications

Citations

190

Publications by Year

20082011

Co-Authors:

Xiaoxu Fei
Matthew Ma
Feiliang Ren
Keh-Yih Su
Benjamin K. Tsou

Show All Co-Authors (9)

Author's Published Works

Search History

Showing 1-9 of 9 results

Conferences (7)

Journals (2)

Sort

Filter Results

Show

All Results

Subscribed Content

Open Access Only

Range
Single Year
Huizhen Wang(9)
Jingbo Zhu(9)
Feiliang Ren(3)
Matthew Ma(2)
Benjamin K. Tsou(2)
Natural Language Processing Laboratory, Northeastern University, Shenyang, Liaoning, China(3)
Northeastern University, Shenyang, China(3)
Scientific Works, Princeton, NJ, USA(2)
Research Centre on Linguistics and Language Information Sciences, Hong Kong Institute of Education, New Territories, Hong Kong, China(1)
Natural Language Processing Laboratory, Northeastern University, Liaoning, China(1)
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)(4)
2008 International Conference on Natural Language Processing and Knowledge Engineering(1)
2009 International Conference on Natural Language Processing and Knowledge Engineering(1)
2010 4th International Universal Communication Symposium(1)
IEEE Transactions on Affective Computing(1)
IEEE(9)
Beijing, China(6)
Dalian, China(1)
Text Classification(4)
Chinese Translation(3)
Maximum Entropy(3)
Maximum Entropy Model(3)
Named Entity Recognition(3)

Select All on Page

Sort By

Results

Aspect-Based Opinion Polling from Customer Reviews

Jingbo Zhu;Huizhen Wang;Muhua Zhu;Benjamin K. Tsou;Matthew Ma

IEEE Transactions on Affective Computing

Year: 2011 | Volume: 2, Issue: 1 | Journal Article |

Cited by: Papers (87)

HTML

Opinion polling has been traditionally done via customer satisfaction studies in which questions are carefully designed to gather customer opinions about target products or services. This paper studies aspect-based opinion polling from unlabeled free-form textual customer reviews without requiring customers to answer any questions. First, a multi-aspect bootstrapping method is proposed to learn as...Show More

Aspect-Based Opinion Polling from Customer Reviews

Jingbo Zhu;Huizhen Wang;Muhua Zhu;Benjamin K. Tsou;Matthew Ma

IEEE Transactions on Affective Computing

Year: 2011 | Volume: 2, Issue: 1 | Journal Article |

Learning topic knowledge to improve Chinese word sense disambiguation

Huizhen Wang;Jingbo Zhu

2010 4th International Universal Communication Symposium

Year: 2010 | Conference Paper |

HTML

This paper addresses an issue of incorporating topic knowledge to improve Chinese word sense disambiguation. The key is how to learn topic knowledge as features in the design of classifiers for disambiguating word senses. This paper presents two solutions to learn topic knowledge. In the first solution, a Chinese domain knowledge dictionary named NEUKD is used to generate domain feature set. Howev...Show More

Learning topic knowledge to improve Chinese word sense disambiguation

Huizhen Wang;Jingbo Zhu

2010 4th International Universal Communication Symposium

Year: 2010 | Conference Paper |

The impact of parsing accuracy on syntax-based SMT

Hao Zhang;Huizhen Wang;Tong Xiao;Jingbo Zhu

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)

Year: 2010 | Conference Paper |

HTML

In statistical machine translation (SMT), syntax-based models generally rely on the syntactic information provided by syntactic parsers in source language, target language or both of them. However, whether or how parsers impact the performance of syntax-based systems is still an open issue in the MT field. In this paper, we make an attempt to explore answers to this issue, and empirically investig...Show More

The impact of parsing accuracy on syntax-based SMT

Hao Zhang;Huizhen Wang;Tong Xiao;Jingbo Zhu

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)

Year: 2010 | Conference Paper |

A novel Chinese-English on translation method using mix-language web pages

Feiliang Ren;Jingbo Zhu;Huizhen Wang

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)

Year: 2010 | Conference Paper |

HTML

In this paper, we propose a novel Chinese-English organization name translation method with the assistance of mix-language web resources. Firstly, all the implicit out-of-vocabulary terms in the input Chinese organization name are recognized by a CRFs model. Then the input Chinese organization name is translated without considering these recognized out-of-vocabulary terms. Secondly, we construct s...Show More

A novel Chinese-English on translation method using mix-language web pages

Feiliang Ren;Jingbo Zhu;Huizhen Wang

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)

Year: 2010 | Conference Paper |

Sentiment word identification using the maximum entropy model

Xiaoxu Fei;Huizhen Wang;Jingbo Zhu

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)

Year: 2010 | Conference Paper |

Cited by: Papers (9)

HTML

This paper addresses the issue of sentiment word identification given an opinionated sentence, which is very important in sentiment analysis tasks. The most common way to tackle this problem is to utilize a readily available sentiment lexicon such as HowNet or SentiWordNet to determine whether a word is a sentiment word. However, in practice, words existing in the lexicon sometimes can not express...Show More

Sentiment word identification using the maximum entropy model

Xiaoxu Fei;Huizhen Wang;Jingbo Zhu

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)

Year: 2010 | Conference Paper |

Web-based technical term translation pairs mining for patent document translation

Feiliang Ren;Jingbo Zhu;Huizhen Wang

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)

Year: 2010 | Conference Paper |

Cited by: Papers (1)

HTML

This paper proposes a simple but powerful approach for obtaining technical term translation pairs in patent domain from Web automatically. First, several technical terms are used as seed queries and submitted to search engineering. Secondly, an extraction algorithm is proposed to extract some key word translation pairs from the returned web pages. Finally, a multi-feature based evaluation method i...Show More

Web-based technical term translation pairs mining for patent document translation

Feiliang Ren;Jingbo Zhu;Huizhen Wang

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)

Year: 2010 | Conference Paper |

Active Learning With Sampling by Uncertainty and Density for Data Annotations

Jingbo Zhu;Huizhen Wang;Benjamin K. Tsou;Matthew Ma

IEEE Transactions on Audio, Speech, and Language Processing

Year: 2010 | Volume: 18, Issue: 6 | Journal Article |

Cited by: Papers (88)

HTML

To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation. One of the key enabling techniques of active learning is uncertainty sampling, which uses one classifier to identify unlabeled examples with the least confidence. Uncertainty sampling often presents problems when outli...Show More

Active Learning With Sampling by Uncertainty and Density for Data Annotations

Jingbo Zhu;Huizhen Wang;Benjamin K. Tsou;Matthew Ma

IEEE Transactions on Audio, Speech, and Language Processing

Year: 2010 | Volume: 18, Issue: 6 | Journal Article |

Translate Chinese organization names using examples and web

Feiliang Ren;Jingbo Zhu;Huizhen Wang

2009 International Conference on Natural Language Processing and Knowledge Engineering

Year: 2009 | Conference Paper |

Cited by: Papers (4)

HTML

This paper proposes a new approach for translating Chinese organization names that uses example-based method along with Web assistance. It consists of two phases, first, it generates a translation candidate for the input Chinese organization name by an example-based translation method; and secondly, it uses the Web to amend this translation candidate so as to finish such tasks: translation candida...Show More

Translate Chinese organization names using examples and web

Feiliang Ren;Jingbo Zhu;Huizhen Wang

2009 International Conference on Natural Language Processing and Knowledge Engineering

Year: 2009 | Conference Paper |

Divergence-based feature selection for naïve Bayes text classification

Huizhen Wang;Jingbo Zhu;Keh-Yih Su

2008 International Conference on Natural Language Processing and Knowledge Engineering

Year: 2008 | Conference Paper |

Cited by: Papers (1)

HTML

A new divergence-based approach to feature selection for naive Bayes text classification is proposed in this paper. In this approach, the discrimination power of each feature is directly used for ranking various features through a criterion named overall-divergence, which is based on the divergence measures evaluated between various class density function pairs. Compared with other state-of-the-ar...Show More

Divergence-based feature selection for naïve Bayes text classification

Huizhen Wang;Jingbo Zhu;Keh-Yih Su

2008 International Conference on Natural Language Processing and Knowledge Engineering

Year: 2008 | Conference Paper |

MIT Libraries

MIT Libraries

Author details

Huizhen Wang

Huizhen Wang

Affiliation

Publication Topics

Biography

Showing 1-9 of 9 results

Show

Aspect-Based Opinion Polling from Customer Reviews

Aspect-Based Opinion Polling from Customer Reviews

Learning topic knowledge to improve Chinese word sense disambiguation

Learning topic knowledge to improve Chinese word sense disambiguation

The impact of parsing accuracy on syntax-based SMT

The impact of parsing accuracy on syntax-based SMT

A novel Chinese-English on translation method using mix-language web pages

A novel Chinese-English on translation method using mix-language web pages

Sentiment word identification using the maximum entropy model

Sentiment word identification using the maximum entropy model

Web-based technical term translation pairs mining for patent document translation

Web-based technical term translation pairs mining for patent document translation

Active Learning With Sampling by Uncertainty and Density for Data Annotations

Active Learning With Sampling by Uncertainty and Density for Data Annotations

Translate Chinese organization names using examples and web

Translate Chinese organization names using examples and web

Divergence-based feature selection for naïve Bayes text classification

Divergence-based feature selection for naïve Bayes text classification

IEEE Account

Purchase Details

Profile Information

Need Help?