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  1. No Access

    Chapter and Conference Paper

    Rumor Detection with Hierarchical Recurrent Convolutional Neural Network

    Automatic rumor detection for events on online social media has attracted considerable attention in recent years. Usually, the events on social media are divided into several time segments, and for each segmen...

    **ang Lin, **angwen Liao, Tong Xu in Natural Language Processing and Chinese Co… (2019)

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    Chapter and Conference Paper

    A Tensor Factorization Based User Influence Analysis Method with Clustering and Temporal Constraint

    User influence analysis in social media has attracted tremendous interest from both the sociology and social data mining. It is becoming a hot topic recently. However, most approaches ignore the temporal chara...

    **angwen Liao, Lingying Zhang, Lin Gui in Natural Language Processing and Chinese Co… (2018)

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    Chapter and Conference Paper

    The Role of Physical Location in Our Online Social Networks

    One of the most important properties of social networking sites is its reachability – no physical location constraint. In addition, all social networking sites allow us to search people with common interests, ...

    Jia Zhu, Pui Cheong Gabriel Fung, Kam-fai Wong in Web-Age Information Management (2015)

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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...

    Ruifeng Xu, Zhaoyu Wang, Jun Xu, Junwen Chen in Computational Linguistics and Intelligent … (2015)

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    Chapter and Conference Paper

    Trending Sentiment-Topic Detection on Twitter

    Twitter plays a significant role in information diffusion and has evolved to an important information resource as well as news feed. People wonder and care about what is happening on Twitter and what news it i...

    Baolin Peng, **g Li, Junwen Chen, Xu Han in Computational Linguistics and Intelligent … (2015)

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    Chapter and Conference Paper

    Weight-Based Boosting Model for Cross-Domain Relevance Ranking Adaptation

    Adaptation techniques based on importance weighting were shown effective for RankSVM and RankNet, viz., each training instance is assigned a target weight denoting its importance to the target domain and incorpor...

    Peng Cai, Wei Gao, Kam-Fai Wong, Aoying Zhou in Advances in Information Retrieval (2011)

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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...

    Mingli Wu, Wenjie Li, Qin Lu, Kam-Fai Wong in Computational Linguistics and Intelligent … (2007)

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    Book and Conference Proceedings

    Natural Language Processing – IJCNLP 2005

    Second International Joint Conference, Jeju Island, Korea, October 11-13, 2005. Proceedings

    Robert Dale, Kam-Fai Wong, Jian Su in Lecture Notes in Computer Science (2005)

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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 ...

    Wei Gao, Kam-Fai Wong, Wai Lam in Natural Language Processing – IJCNLP 2004 (2005)

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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...

    Paulo Cheong, Dawei Song, Peter Bruza in Natural Language Processing – IJCNLP 2004 (2005)

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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...

    Wei Li, Wenjie Li, Qin Lu, Kam-Fai Wong in Natural Language Processing – IJCNLP 2005 (2005)

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    Chapter and Conference Paper

    A New Conceptual Graph Generated Algorithm for Semi-structured Databases

    As the World Wide Web grows dramatically in recent years, there is increasing interest in semi-structured data on the web. Semi-structured data are usually represented in graph format, many graph schemas have ...

    Kam Fai Wong, Yat Fan Su, Dongqing Yang in Web Intelligence: Research and Development (2001)