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Articles 1111 - 1140 of 1692
Full-Text Articles in Entire DC Network
Can Syntax Help? Improving An Lstm-Based Sentence Compression Model For New Domains, Liangguo Wang, Jing Jiang, Hai Leong Chieu, Chen Hui Ong, Dandan Song, Lejian Liao
Can Syntax Help? Improving An Lstm-Based Sentence Compression Model For New Domains, Liangguo Wang, Jing Jiang, Hai Leong Chieu, Chen Hui Ong, Dandan Song, Lejian Liao
Research Collection School Of Computing and Information Systems
In this paper, we study how to improve thedomain adaptability of a deletion-basedLong Short-Term Memory (LSTM) neuralnetwork model for sentence compression.We hypothesize that syntactic informationhelps in making such modelsmore robust across domains. We proposetwo major changes to the model: usingexplicit syntactic features and introducingsyntactic constraints through Integer LinearProgramming (ILP). Our evaluationshows that the proposed model works betterthan the original model as well as a traditionalnon-neural-network-based modelin a cross-domain setting.
Large-Scale Online Feature Selection For Ultra-High Dimensional Sparse Data, Yue Wu, Steven C. H. Hoi, Tao Mei, Nenghai Yu
Large-Scale Online Feature Selection For Ultra-High Dimensional Sparse Data, Yue Wu, Steven C. H. Hoi, Tao Mei, Nenghai Yu
Research Collection School Of Computing and Information Systems
Feature selection (FS) is an important technique in machine learning and data mining, especially for large scale high-dimensional data. Most existing studies have been restricted to batch learning, which is often inefficient and poorly scalable when handling big data in real world. As real data may arrive sequentially and continuously, batch learning has to retrain the model for the new coming data, which is very computationally intensive. Online feature selection (OFS) is a promising new paradigm that is more efficient and scalable than batch learning algorithms. However, existing online algorithms usually fall short in their inferior efficacy. In this article, …
The Critical Role Of Mass Media In International Norm Diffusion: The Case Of Undp Human Development Reports, Devin K. Joshi, Roni Kay O'Dell
The Critical Role Of Mass Media In International Norm Diffusion: The Case Of Undp Human Development Reports, Devin K. Joshi, Roni Kay O'Dell
Research Collection School of Social Sciences
What role does mass media play in the promotion of global norms? We address this question through an analysis of Human Development Reports (HDRs) produced by the United Nations Development Programme. Although HDRs have promoted human development ideology over the past twenty-five years, little is known about how and to what extent their messages have been disseminated to the public. Addressing this gap in the literature, we examine a critical intervening factor in the process of international norm diffusion: political communication via the mass media. Highlighting the importance of framing and agenda setting, we identify four communicative mechanisms that can …
Demographics Of News Sharing In The U.S. Twittersphere, Julio C.S. Reis, Haewoon Kwak, Jisun An, Johnnatan Messias, Benevenuto Fabrıcio.
Demographics Of News Sharing In The U.S. Twittersphere, Julio C.S. Reis, Haewoon Kwak, Jisun An, Johnnatan Messias, Benevenuto Fabrıcio.
Research Collection School Of Computing and Information Systems
The widespread adoption and dissemination of online news through social media systems have been revolutionizing many segments of our society and ultimately our daily lives. In these systems, users can play a central role as they share content to their friends. Despite that, little is known about news spreaders in social media. In this paper, we provide the first of its kind in-depth characterization of news spreaders in social media. In particular, we investigate their demographics, what kind of content they share, and the audience they reach. Among our main findings, we show that males and white users tend to …
Truly Multi-Modal Youtube-8m Video Classification With Video, Audio, And Text, Zhe Wang, Kingsley Kuan, Mathieu Ravant, Gaurav Manek, Sibo Song, Yuan Fang, Et Al
Truly Multi-Modal Youtube-8m Video Classification With Video, Audio, And Text, Zhe Wang, Kingsley Kuan, Mathieu Ravant, Gaurav Manek, Sibo Song, Yuan Fang, Et Al
Research Collection School Of Computing and Information Systems
The YouTube-8M video classification challenge requires teams to classify 0.7 million videos into one or more of 4,716 classes. In this Kaggle competition, we placed in the top 3% out of 650 participants using released video and audio features. Beyond that, we extend the original competition by including text information in the classification, making this a truly multi-modal approach with vision, audio and text. The newly introduced text data is termed as YouTube-8M-Text. We present a classification framework for the joint use of text, visual and audio features, and conduct an extensive set of experiments to quantify the benefit that …
A Domain Based Approach To Social Relation Recognition, Qianru Sun, Bernt Schiele, Mario Fritz
A Domain Based Approach To Social Relation Recognition, Qianru Sun, Bernt Schiele, Mario Fritz
Research Collection School Of Computing and Information Systems
Social relations are the foundation of human daily life. Developing techniques to analyze such relations from visual data bears great potential to build machines that better understand us and are capable of interacting with us at a social level. Previous investigations have remained partial due to the overwhelming diversity and complexity of the topic and consequently have only focused on a handful of social relations. In this paper, we argue that the domain-based theory from social psychology is a great starting point to systematically approach this problem. The theory provides coverage of all aspects of social relations and equally is …
Whose Traditions? Which Practices?, Sor-Hoon Tan
Whose Traditions? Which Practices?, Sor-Hoon Tan
Research Collection School of Social Sciences
My response to Tully’s article, “Deparochializing Political Theory and Beyond,” suggests that before introducing students in Asia to comparative political thought, including texts from Asian traditions in Political Theory or Philosophy courses, their education needs to first engage in the critical practice of questioning their own “background horizon of disclosure.” The background horizon of disclosure that needs questioning certainly is not simply constituted by Asian traditions; despite westernized education, it is also not entirely western, insofar as the society they live in continues to be Asian in various ways, and the adopted western institutions and modes of thought have been …
Culturally-Grounded Analysis Of Everyday Creativity In Social Media: A Case Study In Qatari Context, D. Fox Harrell, Sarah Vieweg, Haewoon Kwak, Chong-U Lim, Sercan Sengun, Ali Jahanian, Pablo. Ortiz
Culturally-Grounded Analysis Of Everyday Creativity In Social Media: A Case Study In Qatari Context, D. Fox Harrell, Sarah Vieweg, Haewoon Kwak, Chong-U Lim, Sercan Sengun, Ali Jahanian, Pablo. Ortiz
Research Collection School Of Computing and Information Systems
In deploying social media and other information technologies often not designed with MENA (the Middle East and North Africa) cultures in mind, users generate creative approaches to self-representation using virtual identities while preserving their cultural values. To understand and further empower such approaches, we present a mixed-method of computational and qualitative study, focusing on Qatar as a case of such communities in the MENA region. We analyzed a dataset of over 42,000 publicly available social media profiles using computational approaches (archetypal analysis) and qualitatively analyzed a separate set of 255 profiles. We augmented our descriptions with semi-structured interviews. As a …
Will You Still Employ Me - When I'M 68?, Margaret Chan
Will You Still Employ Me - When I'M 68?, Margaret Chan
Research Collection School of Social Sciences
A commentary on the argument of ageism, the government encouragement of senior citizens to continue employment and learning.
Bug Characteristics In Blockchain Systems: A Large-Scale Empirical Study, Zhiyuan Wan, David Lo, Xin Xia, Liang Cai
Bug Characteristics In Blockchain Systems: A Large-Scale Empirical Study, Zhiyuan Wan, David Lo, Xin Xia, Liang Cai
Research Collection School Of Computing and Information Systems
Bugs severely hurt blockchain system dependability. A thorough understanding of blockchain bug characteristics is required to design effective tools for preventing, detecting and mitigating bugs. We perform an empirical study on bug characteristics in eight representative open source blockchain systems. First, we manually examine 1,108 bug reports to understand the nature of the reported bugs. Second, we leverage card sorting to label the bug reports, and obtain ten bug categories in blockchain systems. We further investigate the frequency distribution of bug categories across projects and programming languages. Finally, we study the relationship between bug categories and bug fixing time. The …
Employing Smartwatch For Enhanced Password Authentication, Bing Chang, Ximing Liu, Yingjiu Li, Pingjian Wang, Wen-Tao Zhu, Zhan Wang
Employing Smartwatch For Enhanced Password Authentication, Bing Chang, Ximing Liu, Yingjiu Li, Pingjian Wang, Wen-Tao Zhu, Zhan Wang
Research Collection School Of Computing and Information Systems
This paper presents an enhanced password authentication scheme by systematically exploiting the motion sensors in a smartwatch. We extract unique features from the sensor data when a smartwatch bearer types his/her password (or PIN), and train certain machine learning classifiers using these features. We then implement smartwatch-aided password authentication using the classifiers. Our scheme is user-friendly since it does not require users to perform any additional actions when typing passwords or PINs other than wearing smartwatches. We conduct a user study involving 51 participants on the developed prototype so as to evaluate its feasibility and performance. Experimental results show that …
An Exploratory Study Of Functionality And Learning Resources Of Web Apis On Programmableweb, Yuan Tian, Pavneet Singh Kochhar, David Lo
An Exploratory Study Of Functionality And Learning Resources Of Web Apis On Programmableweb, Yuan Tian, Pavneet Singh Kochhar, David Lo
Research Collection School Of Computing and Information Systems
Web APIs provide various functionalities that can be leveraged by developers in building their applications. ProgrammableWeb, which is the largest and most active web API and mashup collection, provides a record of thousands of web APIs and mashups. However, important properties about these large number of web APIs, such as their functionality and support/resources for learning, have never been studied by the existing research work. In this study, we perform an exploratory analysis on functionality and learning resources of 9,883 web APIs and 4,315 mashups listed on ProgrammableWeb, and find that: (1) web APIs provide a wide range of functionalities …
Goh Chok Tong [Singapore, Prime Minister], Chok Tong Goh
Goh Chok Tong [Singapore, Prime Minister], Chok Tong Goh
Digital Narratives of Asia
ESM Goh Chok Tong tells DNA how he overcame his reluctance and became the second Prime Minister of Singapore. He believes in consultative, participative decision-making approach, which differs from his political mentor, Mr Lee Kuan Yew. He dealt with leaders of regional countries in his adaptive and pragmatic style.
Adam Smith, Settler Colonialism, And Cosmopolitan Overstretch, Onur Ulas Ince
Adam Smith, Settler Colonialism, And Cosmopolitan Overstretch, Onur Ulas Ince
Research Collection School of Social Sciences
Adam Smith has recently been celebrated as a precocious theorist of commercialcosmopolitanism who decried the injustice of imperial conquest and extraction. This paperfocuses on Smith’s endorsement of settler colonialism in North America and argues thatSmith’s newfound cosmopolitanism is overstretched. Smith welcomed settler colonies as theembodiment of the “natural progress of opulence” and spared them from his invective againstother imperial practices like chattel slavery and trade monopolies. Smith’s embrace of settlercolonies, however, involved him in an ideological conundrum insofar as the prosperity ofoverseas settlements rested on imperial expansion and seizure of land from Native Americans.I contend that Smith muffled this disturbing …
Management Education Out Of Africa, Howard Thomas
Management Education Out Of Africa, Howard Thomas
Asian Management Insights
Is a distinctive African managementeducation model possible,achievable, or even advisable?
Lexicons In Sentiment Analytics, B. Yuan, Keng Siau
Lexicons In Sentiment Analytics, B. Yuan, Keng Siau
Research Collection School Of Computing and Information Systems
With the increasing amount of text data, sentiment analytics (SA) is becoming an important tool for text miners. An automated approach is needed to parse the online reviews and comments, and analyze their sentiments. Since lexicon is the most important component in SA, enhancing the quality of lexicons will improve the efficiency and accuracy of sentiment analysis. In this research, we study the effect of coupling a general lexicon with a specialized lexicon (for a specific domain) and its impact on sentiment analysis. Two special domains and one general domain were used. The two special domains are the petroleum domain …
Choosing An Nlp Library For Analyzing Software Documentation: A Systematic Literature Review And A Series Of Experiments, Fouad N. A. Al Omran, Christoph Treude
Choosing An Nlp Library For Analyzing Software Documentation: A Systematic Literature Review And A Series Of Experiments, Fouad N. A. Al Omran, Christoph Treude
Research Collection School Of Computing and Information Systems
To uncover interesting and actionable information from natural language documents authored by software developers, many researchers rely on "out-of-the-box" NLP libraries. However, software artifacts written in natural language are different from other textual documents due to the technical language used. In this paper, we first analyze the state of the art through a systematic literature review in which we find that only a small minority of papers justify their choice of an NLP library. We then report on a series of experiments in which we applied four state-of-the-art NLP libraries to publicly available software artifacts from three different sources. Our …
Managing The Inter-Cultural Dimensions Of A Mediation Effectively: A Proposed Pre-Mediation Intake Instrument, Dorcas Quek Anderson, Diana Knight
Managing The Inter-Cultural Dimensions Of A Mediation Effectively: A Proposed Pre-Mediation Intake Instrument, Dorcas Quek Anderson, Diana Knight
Research Collection Yong Pung How School Of Law
Being a culturally responsive mediator has become increasingly challenging amidst the growing cultural complexity within many societies. Drawing on the existing research on culture and the authors’ experiences of mediating disputes amongst diverse disputants in Australia and Singapore, this paper proposes an emic-constructivist approach for the mediator to understand the individual disputant’s unique cultural preferences. It also recommends bringing forward the exercise of understanding cultural preferences through conducting pre-mediation intake interviews. It is argued that this approach enables the mediator to embrace the parties’ cultural complexity and to design the mediation process based on their rich milieu of preferences. Finally, …
Why Do Publicly Listed Firms Evade Taxes: Evidence From China, Travis Chow, Bin Ke, Hongqi Yuan, Yao Zhang
Why Do Publicly Listed Firms Evade Taxes: Evidence From China, Travis Chow, Bin Ke, Hongqi Yuan, Yao Zhang
Research Collection School Of Accountancy
Taking advantage of the mandatory disclosure of detected corporate tax evasions in China, we examine why publicly listed firms evade taxes. Different from most prior studies that focus on corporate income tax avoidance, we consider tax evasions related to both income taxes and non-income taxes. We also use a bivariate probit model to account for the partial observability of corporate tax evasion. Many of our regression results using the bivariate probit model are different from the results using the reduced form probit model that ignores the partial observability of tax evasion. Many of our results are also different from those …
Signs Of Social Class: The Experience Of Economic Inequality In Everyday Life, Michael W. Kraus, Jun Won Park, Jacinth J. X. Tan
Signs Of Social Class: The Experience Of Economic Inequality In Everyday Life, Michael W. Kraus, Jun Won Park, Jacinth J. X. Tan
Research Collection School of Social Sciences
By some accounts, global economic inequality is at its highest point on record. The pernicious effects of this broad societal trend are striking: Rising inequality is linked to poorer health and well-being across countries, continents, and cultures. The economic and psychological forces that perpetuate inequality continue to be studied, and in this theoretical review, we examine the role of daily experiences of economic inequality—the communication of social class signals between interaction partners—in this process. We theorize that social class signals activate social comparison processes that strengthen group boundaries between the haves and have nots in society. In particular, we argue …
Machine Comprehension Using Match-Lstm And Answer Pointer, Shuohang Wang, Jing Jiang
Machine Comprehension Using Match-Lstm And Answer Pointer, Shuohang Wang, Jing Jiang
Research Collection School Of Computing and Information Systems
Machine comprehension of text is an important problem in natural language processing. A recently released dataset, the Stanford Question Answering Dataset (SQuAD), offers a large number of real questions and their answers created by humans through crowdsourcing. SQuAD provides a challenging testbed for evaluating machine comprehension algorithms, partly because compared with previous datasets, in SQuAD the answers do not come from a small set of candidate answers and they have variable lengths. We propose an end-to-end neural architecture for the task. The architecture is based on match-LSTM, a model we proposed previously for textual entailment, and Pointer Net, a sequence-to-sequence …
A Compare-Aggregate Model For Matching Text Sequences, Shuohang Wang, Jing Jiang
A Compare-Aggregate Model For Matching Text Sequences, Shuohang Wang, Jing Jiang
Research Collection School Of Computing and Information Systems
Many NLP tasks including machine comprehension, answer selection and text entailment require the comparison between sequences. Matching the important units between sequences is a key to solve these problems. In this paper, we present a general "compare-aggregate" framework that performs word-level matching followed by aggregation using Convolutional Neural Networks. We particularly focus on the different comparison functions we can use to match two vectors. We use four different datasets to evaluate the model. We find that some simple comparison functions based on element-wise operations can work better than standard neural network and neural tensor network.
Ethnic Social Network In Public Housing Market In Singapore, Sumit Agarwal, Hyunsoo Choi, Jia He, Tien Foo Sing
Ethnic Social Network In Public Housing Market In Singapore, Sumit Agarwal, Hyunsoo Choi, Jia He, Tien Foo Sing
Research Collection Lee Kong Chian School Of Business
This paper investigates the ethnic social network in Singapore's resale public housing market using a unique dataset containing the Cash-Over-Valuation (COV) information for a sample of 73,107 resale public housing transactions from 2007 to 2012. We find that the COV per square meter (psm), which represents a premium above the "objective" housing value, significantly increases with the concentration of buyers' own ethnic group at a housing block level. The results imply that buyers value housing blocks with higher concentration of the same ethnicity group of households. However, the convexity in COV premium suggests that the premium is too large to …
Ethnic Social Network In Public Housing Market In Singapore, Sumit Agarwal, Hyunsoo Choi, Jia He, Tien Foo Sing
Ethnic Social Network In Public Housing Market In Singapore, Sumit Agarwal, Hyunsoo Choi, Jia He, Tien Foo Sing
Research Collection Lee Kong Chian School Of Business
This paper investigates the ethnic social network in Singapore's resale public housing market using a unique dataset containing the Cash-Over-Valuation (COV) information for a sample of 73,107 resale public housing transactions from 2007 to 2012. We find that the COV per square meter (psm), which represents a premium above the "objective" housing value, significantly increases with the concentration of buyers' own ethnic group at a housing block level. The results imply that buyers value housing blocks with higher concentration of the same ethnicity group of households. However, the convexity in COV premium suggests that the premium is too large to …
The Role Of Facial Appearance On Ceo Selection After Firm Misconduct, David M. Gomulya, Elaine M. Wong, Margaret E. Ormiston, Warren Boeker
The Role Of Facial Appearance On Ceo Selection After Firm Misconduct, David M. Gomulya, Elaine M. Wong, Margaret E. Ormiston, Warren Boeker
Research Collection Lee Kong Chian School Of Business
We investigate a particular aspect of CEO successor trustworthiness that may be critically important after a firm has engaged in financial misconduct. Specifically, drawing on prior research that suggests that facial appearance is one critical way in which trustworthiness is signaled, we argue that leaders who convey integrity, a component of trustworthiness, will be more likely to be selected as successors after financial restatement. We predict that such appointments garner more positive reactions by external observers such as investment analysts and the media because these CEOs are perceived as having greater integrity. In an archival study of firms that have …
Achievement And Friends: Key Factors Of Player Retention Vary Across Player Levels In Online Multiplayer Games, Korea Advanced Institute Of Science & Technology, Qatar Computing Research Institute, Haewoon Kwak
Achievement And Friends: Key Factors Of Player Retention Vary Across Player Levels In Online Multiplayer Games, Korea Advanced Institute Of Science & Technology, Qatar Computing Research Institute, Haewoon Kwak
Research Collection School Of Computing and Information Systems
Retaining players over an extended period of time is a long-standing challenge in game industry. Significant effort has been paid to understanding what motivates players enjoy games. While individuals may have varying reasons to play or abandon a game at different stages within the game, previous studies have looked at the retention problem from a snapshot view. This study, by analyzing in-game logs of 51,104 distinct individuals in an online multiplayer game, uniquely offers a multifaceted view of the retention problem over the players' virtual life phases. We find that key indicators of longevity change with the game level. Achievement …
Modeling Topics And Behavior Of Microbloggers: An Integrated Approach, Tuan Anh Hoang, Ee-Peng Lim
Modeling Topics And Behavior Of Microbloggers: An Integrated Approach, Tuan Anh Hoang, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
Microblogging encompasses both user-generated content and behavior. When modeling microblogging data, one has to consider personal and background topics, as well as how these topics generate the observed content and behavior. In this article, we propose the Generalized Behavior-Topic (GBT) model for simultaneously modeling background topics and users' topical interest in microblogging data. GBT considers multiple topical communities (or realms) with different background topical interests while learning the personal topics of each user and the user's dependence on realms to generate both content and behavior. This differentiates GBT from other previous works that consider either one realm only or content …
Assessing The Language Of Chat For Teamwork Dialogue, Antonette Shibani, Elizabeth Koh, Vivian Lai, Kyong Jin Shim
Assessing The Language Of Chat For Teamwork Dialogue, Antonette Shibani, Elizabeth Koh, Vivian Lai, Kyong Jin Shim
Research Collection School Of Computing and Information Systems
In technology enhanced language learning, many pedagogical activities involve students in online discussion such as synchronous chat, in order to help them practice their language skills. Besides developing the language competency of students, it is also crucial to nurture their teamwork competencies for today's global and complex environment. Language communication is an important glue of teamwork. In order to assess the language of chat for teamwork dimensions, several text mining methods are pos sible. However, difficulties arise such as pre-processing being a black box and classification approaches and algorithms being dependent on the context. To address these issues, the study …
Clustering Classes In Packages For Program Comprehension, Xiaobing Sun, Xiangyue Liu, Bin Li, Bixin Li, David Lo, Lingzhi Liao
Clustering Classes In Packages For Program Comprehension, Xiaobing Sun, Xiangyue Liu, Bin Li, Bixin Li, David Lo, Lingzhi Liao
Research Collection School Of Computing and Information Systems
During software maintenance and evolution, one of the important tasks faced by developers is to understand a system quickly and accurately. With the increasing size and complexity of an evolving system, program comprehension becomes an increasingly difficult activity. Given a target system for comprehension, developers may first focus on the package comprehension. The packages in the system are of different sizes. For small-sized packages in the system, developers can easily comprehend them. However, for large-sized packages, they are difficult to understand. In this article, we focus on understanding these large-sized packages and propose a novel program comprehension approach for large-sized …
Aspect Extraction From Product Reviews Using Category Hierarchy Information, Yifeng Yang, Chen Cen, Minghui Qiu, Forrest Sheng Bao
Aspect Extraction From Product Reviews Using Category Hierarchy Information, Yifeng Yang, Chen Cen, Minghui Qiu, Forrest Sheng Bao
Research Collection School Of Computing and Information Systems
Aspect extraction is a task to abstract the common properties of objects from corpora discussing them, such as reviews of products. Recent work on aspect extraction is leveraging the hierarchical relationship between products and their categories. However, such effort focuses on the aspects of child categories but ignores those from parent categories. Hence, we propose an LDA-based generative topic model inducing the two-layer categorical information (CAT-LDA), to balance the aspects of both a parent category and its child categories. Our hypothesis is that child categories inherit aspects from parent categories, controlled by the hierarchy between them. Experimental results on 5 …