23 Result(s)
within
Chapter
Kam Fai Wong
Natural Language Processing (NLP)
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Chapter and Conference Paper
Phoneme-Based Transliteration of Foreign Names for OOV Problem
A proper noun dictionary is never complete rendering name translation from English to Chinese ineffective. One way to solve this problem is not to rely on a dictionary alone but to adopt automatic translation ...
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Chapter and Conference Paper
Information Flow Analysis with Chinese Text
This article investigates the effectiveness of an information inference mechanism on Chinese text. The information inference derives implicit associations via computation of information flow on a high dimensio...
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Chapter and Conference Paper
A Preliminary Work on Classifying Time Granularities of Temporal Questions
Temporal question classification assigns time granularities to temporal questions ac-cording to their anticipated answers. It is very important for answer extraction and verification in the literature of tempo...
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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
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...
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Chapter and Conference Paper
An Improved Method for Finding Bilingual Collocation Correspondences from Monolingual Corpora
Bilingual collocation correspondence is helpful to machine translation and second language learning. Existing techniques for identifying Chinese-English collocation correspondence suffer from two major problem...
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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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Chapter
Unknown Word Identification
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Chapter
Chinese Collocations
Collocation is a lexical phenomenon where two or more words are habitually combined together as some conventional way of saying things. For example, in Chinese, 历史/n 包袱/n (historical burden) rather than 历史/n 行...
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Chapter
Words in Chinese
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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
Pests Hidden in Your Fans: An Effective Approach for Opinion Leader Discovery
With the development of Web 2.0, people would like to share opinions on the Web, which are very helpful for other users to make decisions. Especially, some users have more powerful influence to other members o...
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Chapter and Conference Paper
A Mixed Model for Cross Lingual Opinion Analysis
The performances of machine learning based opinion analysis systems are always puzzled by the insufficient training opinion corpus. Such problem becomes more serious for the resource-poor languages. Thus, the ...
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Chapter and Conference Paper
Learning to Rank Microblog Posts for Real-Time Ad-Hoc Search
Microblogging websites have emerged to the center of information production and diffusion, on which people can get useful information from other users’ microblog posts. In the era of Big Data, we are overwhelm...
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Chapter and Conference Paper
An Iterative Emotion Classification Approach for Microblogs
The typical emotion classification approach adopts one-step single-label classification using intra-sentence features such as unigrams, bigrams and emotion words. However, single-label classifier with intra-se...
