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Chapter and Conference Paper
A Chinese Sentence Compression Method for Opinion Mining
The Chinese sentences in news articles are usually very long, which set up obstacles for further opinion mining steps. Sentence compression is the task of producing a brief summary at the sentence level. Conve...
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Chapter
Introduction
The world is flat [Friedman 2005]. Globalization has virtually lifted the boundaries between countries. Apparently, the advancement of the Internet is an active catalyst of the globalization process. Today, th...
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Chapter
Challenges in Chinese Morphological Processing
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Chapter
Chinese Word Segmentation
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Chapter
Word Meaning
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Chapter
Automatic Chinese Collocation Extraction
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Chapter and Conference Paper
Summarizing and Extracting Online Public Opinion from Blog Search Results
As more and more people are willing to publish their attitudes and feelings in blogs, how to provide an efficient way to summarize and extract public opinion in blogosphere has become a major concern for both ...
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Book
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Chapter and Conference Paper
Opinion Target Network and Bootstrap** Method for Chinese Opinion Target Extraction
Opinion mining systems suffer a great loss when unknown opinion targets constantly appear in newly composed reviews. Previous opinion target extraction methods typically consider human-compiled opinion targets...
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Chapter and Conference Paper
Joint Ranking for Multilingual Web Search
Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s language. Existing approaches are foc...
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Article
Normalization of Chinese chat language
Real-time communication platforms such as ICQ, MSN and online chat rooms are getting more popular than ever on the Internet. There are, however, real risks where criminals and terrorists can perpetrate illegal...
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Book and Conference Proceedings
Information Retrieval Technology
4th Asia Infomation Retrieval Symposium, AIRS 2008, Harbin, China, January 15-18, 2008 Revised Selected Papers
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Chapter and Conference Paper
Learning MultiLinguistic Knowledge for Opinion Analysis
Most existing opinion analysis techniques used word-level sentiment knowledge but lack the learning capacity on the behaviors of context-dependent opinion words. Meanwhile, the use of collocation-level sentime...
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Chapter and Conference Paper
Event-Based Summarization Using Time Features
We investigate whether time features help to improve event-based summarization. In this paper, events are defined as event terms and the associated event elements. While event terms represent the actions thems...
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Article
Answering XML Queries Using Path-Based Indexes: A Survey
The problem of answering XML queries using path-based indexes is to find efficient methods for accelerating the XML query with pre-designed index structures over the XML database. This problem received increas...
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Book and Conference Proceedings
Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead
21st International Conference, ICCPOL 2006, Singapore, December 17-19, 2006. Proceedings
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Chapter and Conference Paper
Binarization Approaches to Email Categorization
Email categorization becomes very popular today in personal information management. However, most n-way classification methods suffer from feature unevenness problem, namely, features learned from training sam...
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Chapter and Conference Paper
Building Document Graphs for Multiple News Articles Summarization: An Event-Based Approach
Since most of news articles report several events and these events are referred in many related documents, we propose an event-based approach to visualize documents as graph on different conceptual granulariti...
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Chapter and Conference Paper
Fast Structural Join with a Location Function
A structural join evaluates structural relationship (parent-child or ancestor-descendant) between xml elements. It serves as an important computation unit in xml pattern matching, such as twig joins. There exists...
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Chapter and Conference Paper
Clique Percolation Method for Finding Naturally Cohesive and Overlap** Document Clusters
Techniques for find document clusters mostly depend on models that impose strong explicit and/or implicit priori assumptions. As a consequence, the clustering effects tend to be unnatural and stray away from t...
