52 Result(s)
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Kam-fai Wong
Computer Science
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Article
Open AccessA Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning
Dialogue policy learning (DPL) is a key component in a task-oriented dialogue (TOD) system. Its goal is to decide the next action of the dialogue system, given the dialogue state at each turn based on a learne...
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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...
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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...
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Article
Cross lingual opinion holder extraction based on multi-kernel SVMs and transfer learning
Fine grained opinion analysis has much higher demand for annotated corpus which makes high quality analysis difficult when there are insufficient resources. In this paper we explore the use of cross lingual re...
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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, ...
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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...
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Chapter and Conference Paper
Recurrent Neural Networks with External Memory for Spoken Language Understanding
Recurrent Neural Networks (RNNs) have become increasingly popular for the task of language understanding. In this task, a semantic tagger is deployed to associate a semantic label to each word in an input sequ...
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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...
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Chapter and Conference Paper
CLUSM: An Unsupervised Model for Microblog Sentiment Analysis Incorporating Link Information
Microblog has become a popular platform for people to share their ideas, information and opinions. In addition to textual content data, social relations and user behaviors in microblog provide us additional li...
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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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Article
Extracting common emotions from blogs based on fine-grained sentiment clustering
Recently, blogs have emerged as the major platform for people to express their feelings and sentiments in the age of Web 2.0. The common emotions, which reflect people’s collective and overall sentiments, are ...
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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...
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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
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 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...
