Natural Language Processing – IJCNLP 2005
Second International Joint Conference, Jeju Island, Korea, October 11-13, 2005. Proceedings
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11 Result(s)
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Kam-fai Wong
Computer Science
Algorithm Analysis and Problem Complexity
Information Storage and Retrieval
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Chapter and Conference Paper
An Effective Approach for Topic-Specific Opinion Summarization
Topic-specific opinion summarization (TOS) plays an important role in hel** users digest online opinions, which targets to extract a summary of opinion expressions specified by a query, i.e. topic-specific o...
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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 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
Natural Document Clustering by Clique Percolation in Random Graphs
Document clustering techniques mostly depend on models that impose explicit and/or implicit priori assumptions as to the number, size, disjunction characteristics of clusters, and/or the probability distributi...
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Book and Conference Proceedings
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Book and Conference Proceedings
Information Retrieval Technology
Asia Information Retrieval Symposium, AIRS 2004, Bei**g, China, October 18-20, 2004. Revised Selected Papers
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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
Improving Text Similarity Measurement by Critical Sentence Vector Model
We propose the Critical Sentence Vector Model (CSVM), a novel model to measure text similarity. The CSVM accounts for the structural and semantic information of the document. Compared to existing methods based on...
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Chapter and Conference Paper
Improving Transliteration with Precise Alignment of Phoneme Chunks and Using Contextual Features
Automatic transliteration of foreign names is basically regarded as a diminutive clone of the machine translation (MT) problem. It thus follows IBM’s conventional MT models under the source-channel framework. ...
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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...
