Digital Commons Network^™

Comparelda: A Topic Model For Document Comparison, Maksim Tkachenko, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

A number of real-world applications require comparison of entities based on their textual representations. In this work, we develop a topic model supervised by pairwise comparisons of documents. Such a model seeks to yield topics that help to differentiate entities along some dimension of interest, which may vary from one application to another. While previous supervised topic models consider document labels in an independent and pointwise manner, our proposed Comparative Latent Dirichlet Allocation (CompareLDA) learns predictive topic distributions that comply with the pairwise comparison observations. To fit the model, we derive a maximum likelihood estimation method via augmented variational approximation …

Evolution Of Corporate Reputation During An Evolving Controversy, Siyoung Chung, Mark Chong, Jie Sheng Chua, Ji Cheon Na

Research Collection Lee Kong Chian School Of Business

Purpose: The purpose of this paper is to investigate the evolution of online sentiments toward a company (i.e. Chipotle) during a crisis, and the effects of corporate apology on those sentiments. Design/methodology/approach: Using a very large data set of tweets (i.e. over 2.6m) about Company A’s food poisoning case (2015–2016). This case was selected because it is widely known, drew attention from various stakeholders and had many dynamics (e.g. multiple outbreaks, and across different locations). This study employed a supervised machine learning approach. Its sentiment polarity classification and relevance classification consisted of five steps: sampling, labeling, tokenization, augmentation of semantic …

Taking Leaps Of Faith: Evaluation Criteria And Resource Commitments For Early-Stage Inventions, Phillip H. Kim, Reddi Kotha, Sebastian P. L. Fourné, Kristof Coussement

Research Collection Lee Kong Chian School Of Business

Successfully developed academic inventions have the potential to spawn new technological domains, form the basis of thriving business ventures, and improve the well-being of society. However, evaluating whether an early-stage scientific invention truly has such potential is extremely difficult, and financially backing such inventions is highly risky. And yet, organizations and their evaluators still back some of these inventions with resources for further development. We investigate this puzzle to pinpoint how and why evaluators decide to offer resource commitments at early stages, despite the red flags raised using standard evaluation criteria. Many academic inventions need these initial resources to dispel …

Recommending New Features From Mobile App Descriptions, He Jiang, Jingxuan Zhang, Xiaochen Li, Zhilei Ren, David Lo, Xindong Wu, Zhongxuan Luo

Research Collection School Of Computing and Information Systems

The rapidly evolving mobile applications (apps) have brought great demand for developers to identify new features by inspecting the descriptions of similar apps and acquire missing features for their apps. Unfortunately, due to the huge number of apps, this manual process is time-consuming and unscalable. To help developers identify new features, we propose a new approach named SAFER. In this study, we first develop a tool to automatically extract features from app descriptions. Then, given an app, we leverage the topic model to identify its similar apps based on the extracted features and API names of apps. Finally, we design …

Does Early Active Bilingualism Enhance Inhibitory Control And Monitoring? A Propensity-Matching Analysis, Andree Hartanto, Hwajin Yang

Research Collection School of Social Sciences

Prior research suggesting that longer bilingual experience benefits inhibitory control and monitoring has been criticized for a lack of control over confounding variables. We addressed this issue by using a propensity-score matching procedure that enabled us to match early and late bilinguals on 18 confounding variables-for example, demographic characteristics, immigration status, fitness, extracurricular training, motivation, and emotionality-that have been shown to influence cognitive control. Before early and late bilinguals were matched (N = 196), we found early active bilingual advantages in flanker effects (in accuracy), global accuracy, and sensitivity (d') on the Attention Network Test for Interaction and Vigilance and …

The C.J.E.U. Case Law Relevant To The General Anti-Avoidance Rule (G.A.A.R.) Under The Anti-Tax Avoidance Directive (A.T.A.D.), Blazej Kuzniacki

Research Collection School Of Accountancy

This study concentrates on the Court of Justice of the European Union (C.J.E.U.) case law in order to reconstruct from it an interpretative guidance for the proper understanding and thus the application of the general anti-abuse rule included in Article 6 A.T.A.D. (the A.T.A.D.’s G.A.A.R.). Although Article 6 aims to harmonise general anti-abuse rules in the domain of tax law among all M.S.s, its wide scope and its phraseology raises a plethora of issues, in particular in respect of its proper– E.U. compatible– understating and thus application. The analysis of the relevant C.J.E.U. case law, as undertaken in this paper, …

The Uses Of History In International Society: From The Paris Peace Conference To The Present, Margaret Macmillan, Patrick Quinton-Brown

Research Collection School of Social Sciences

History has been used—and abused—for centuries. Yet the more familiar notion of ‘history's lessons’—a notion which tends to make most historians uncomfortable, and which surely demands thoroughgoing skepticism—is far from exhaustive of history's uses in the practice and study of international relations. One important and timely subject is the more constitutive role of history in international deliberations over the creation, fragmentation and transformation of nation-states. What follows is a historical comparison of the changing ways in which the past has been used to frame the terms and content of such debates. While we will be exploring the uses of history …

The Effects Of Script Variation, Literacy Skills, And Immersion Experience On Executive Attention: A Comparison Of Matched Monoscriptal And Biscriptal Bilinguals, Sujin Yang, Hwajin Yang, Andree Hartanto

Research Collection School of Social Sciences

To examine script effects, monoscriptal Spanish-English (SE) bilinguals, who use two similar Roman alphabetic systems, were compared to biscriptal Chinese-English (CE) bilinguals, who use logographs and Roman alphabets. On the Attention Network Test, script effects were most evident in global processing efficiency (i.e., inverse efficiency and reaction time) and in the local network of executive control in favor of biscriptal CE bilinguals over matched monoscriptal SE counterparts. Literacy effects were found on the executive control network among Chinese-English bilinguals of high L1-literacy skills over their script- and immersion-matched counterparts, who varied only in low L1 literacy. In a similar vein, …

Hemen Mazumdar: The Last Romantic, Caterina Corni, Nirmalya Kumar

Research Collection Lee Kong Chian School Of Business

Hemendranath Mazumdar, popularly referred to as Hemen Mazumdar, was born 1894 in Gachihata village of Mymensingh district, which is currently part of Bangladesh. Coming from a relatively wealthy landowning family, at the age of sixteen, Hemen dropped out of school and ran away to Calcutta to pursue his passion for painting. He enrolled at the Government College of Art in 1911, but left in 1912 for another institution, Jubilee Art Academy. By 1915, he left Jubilee Art Academy to start earning his living through portrait painting. Abanindranath Tagore’s coterie had banished any artist following the western academic approach. In response, …

When Silence Is Golden: The Use Of Strategic Silence In Crisis Management, Phuong D. Le, Hui Xun Teo, Augustine Pang, Yuling Li, Cai-Qin Goh

Research Collection Lee Kong Chian School Of Business

Purpose: Scholars have discouraged using silence in crises as it magnifies the information vacuum (see Pang, 2013). The purpose of this paper is to argue for its viability and explore the type of silence that can be used. Design/methodology/approach: Eight international cases were analyzed to examine how silence was adopted, sustained and broken. Findings: The findings uncovered three intention-based typologies of strategic silence: delaying, avoiding and hiding silences. Among such, avoiding/hiding silence intensified crises and adversely affected post-silence organizational image when forcefully broken, while delaying silence helped preserve/restore image with primary stakeholders if successfully sustained and broken as planned. Research …

Global Inference For Aspect And Opinion Terms Co-Extraction Based On Multi-Task Neural Networks, Jianfei Yu, Jing Jiang, Rui Xia

Research Collection School Of Computing and Information Systems

Extracting aspect terms and opinion terms are two fundamental tasks in opinion mining. The recent success of deep learning has inspired various neural network architectures, which have been shown to achieve highly competitive performance in these two tasks. However, most existing methods fail to explicitly consider the syntactic relations among aspect terms and opinion terms, which may lead to the inconsistencies between the model predictions and the syntactic constraints. To this end, we first apply a multi-task learning framework to implicitly capture the relations between the two tasks, and then propose a global inference method by explicitly modelling several syntactic …

Knowledge Circulation In Urban Geography/Urban Studies, 1990-2010: Testing The Discourse Of Anglo-American Hegemony Through Publication And Citation Patterns, Lily Kong, Junxi Qian

Research Collection School of Social Sciences

This article approaches the question of Anglo-American hegemony in urban studies by examining publication and citation patterns. The past one or two decades have witnessed critical arguments about how knowledge production in social sciences is characterised by centre–periphery relations, and risks universalising US–American and European knowledge and epistemology. While not much systematic analysis has been done to address the extent to which urban knowledge has been shaped by Anglo-American centrism, it is not difficult to tell that the field is dominated by the Anglophone world in terms of authorship, institutional affiliation, the cities under scrutiny, and the urban theories arising. …

Book Review Of 'Experimental Practice: Technoscience, Alterontologies, And More-Than-Social Movements' By Dimitris Papadopoulos, Orlando Woods

Research Collection School of Social Sciences

Experimental Practice is one of the latest incarnations of Duke University Press’s 36-part ‘Experimental Futures’ book series; a series that intends to question, to provoke, and to provide an innovative theoretical starting point for a radical reimagination of the contemporary world and its unfolding futures. From the outset, then, Experimental Practice is positioned as a challenge to preconceived ideas of social, political and economic structures and justices. Materiality and matter provide the theoretical groundings from which this challenge is launched. Through them, Papadopoulos articulates a new understanding of the interdependencies of the human and nonhuman worlds. Through them, he also …

A Network Analysis Of The Singapore Court Of Appeal’S Citations To Precedent, Jerrold Tsin Howe Soh

Research Collection Yong Pung How School Of Law

This article presents findings from an empirical network analysis of citation practices in Singapore's highest court.A network of all 987 reported Court of Appeal judgments handed down from 2000 to 2017 is constructed. Networkcentrality algorithms are used to rank judgments by centrality. Judgments on contract law, particularly on contractual interpretation and terms, emerge as the most central. Based on this, this article argues that more attention can be paid to interpretation per se as a legal skill. More generally, this article establishes a framework for applying network analysis to Singapore jurisprudence on a larger scale.

Comparison Mining From Text, Maksim Tkachenko

Dissertations and Theses Collection (Open Access)

Online product reviews are important factors of consumers' purchase decisions. They invade more and more spheres of our life, we have reviews on books, electronics, groceries, entertainments, restaurants, travel experiences, etc. More than 90 percent of consumers read online reviews before they purchase products as reported by various consumers surveys. This observation suggests that product review information enhances consumer experience and helps them to make better-informed purchase decisions. There is an enormous amount of online reviews posted on e-commerce platforms, such as Amazon, Apple, Yelp, TripAdvisor. They vary in information and may be written with different experiences and preferences.

If …

Perflearner: Learning From Bug Reports To Understand And Generate Performance Test Frames, Xue Han, Tingting Yu, David Lo

Research Collection School Of Computing and Information Systems

Software performance is important for ensuring the quality of software products. Performance bugs, defined as programming errors that cause significant performance degradation, can lead to slow systems and poor user experience. While there has been some research on automated performance testing such as test case generation, the main idea is to select workload values to increase the program execution times. These techniques often assume the initial test cases have the right combination of input parameters and focus on evolving values of certain input parameters. However, such an assumption may not hold for highly configurable real-word applications, in which the combinations …

Modeling Movement Decisions In Networks: A Discrete Choice Model Approach, Larry Lin Junjie

Dissertations and Theses Collection (Open Access)

In this dissertation, we address the subject of modeling and simulation of agents and their movement decision in a network environment. We emphasize the development of high quality agent-based simulation models as a prerequisite before utilization of the model as an evaluation tool for various recommender systems and policies. To achieve this, we propose a methodological framework for development of agent-based models, combining approaches such as discrete choice models and data-driven modeling.

The discrete choice model is widely used in the field of transportation, with a distinct utility function (e.g., demand or revenue-driven). Through discrete choice models, the movement decision …

Making A Good Thing Better: Enhancing Password/Pin-Based User Authentication With Smartwatch, Bing Chang, Yingjiu Li, Qiongxiao Wang, Wen-Tao Zhu, Robert H. Deng

Research Collection School Of Computing and Information Systems

Wearing smartwatches becomes increasingly popular in people’s lives. This paper shows that a smartwatch can help its bearer authenticate to a login system effectively and securely even if the bearer’s password has already been revealed. This idea is motivated by our observation that a sensor-rich smartwatch is capable of tracking the wrist motions of its bearer typing a password or PIN, which can be used as an authentication factor. The major challenge in this research is that a sophisticated attacker may imitate a user’s typing behavior as shown in previous research on keystroke dynamics based user authentication. We address this …

Producing The Self-Regulating Subject: Liberal Protection In Indonesia’S Migration Infrastructure, Andy Scott Chang

Research Collection School of Social Sciences

Labour protection has become a dominant agenda in global migration governance, particularly for sending countries whose diasporic citizens are denied political rights in host states. Despite having limited authority to arbitrate extraterritorial disputes, sending countries like Indonesia have deployed novel techniques of statecraft to improve migrant protection. Through the prism of the professional competence exam and pre-departure orientation seminar, this article investigates the Indonesian state's regulatory practices that focus on migrant conduct. Although outbound domestic workers are subject to a prolonged process of skill formation, other Indonesian contract workers pursue emigration upon acquiring basic legal knowledge without undergoing accreditation. While …

Multiculturalism On Its Head: Unexpected Social Boundaries And New Migration In Singapore, Yasmin Y. Ortiga

Research Collection School of Social Sciences

This study investigates how discourses of multiculturalism shape publicdebates surrounding new migration in Singapore. Singapore’s immigration policiesled to the influx of Chinese and Indian professionals, many of whom share race andclass identities with local Singaporeans. However, Singaporeans of Chinese and Indianbackgrounds rejected these presumed similarities, using discourses of multiculturalismto differentiate themselves from co-ethnic migrants. Based on a content analysis ofnews reports and online forums, this study shows how local actors portrayed newmigrants as too prejudiced or bigoted to adapt to Singapore’s multiracial society,thereby creating a paradoxical application of multicultural ideals. This example high-lights how contemporary immigration is creating diverse forms …

Attention-Based Lstm-Cnns For Uncertainty Identification On Chinese Social Media Texts, Binyang Li, Kaiming Zhou, Wei Gao, Xu Han Han, Linna Zhou

Research Collection School Of Computing and Information Systems

Uncertainty identification is an important semantic processing task, which is crucial to the quality of information in terms of factuality in many techniques, e.g. topic detection, question answering. Especially in social media, the texts are written informally which are widely used in many applications, so the factuality has become a premier concern. However, existing approaches that still rely on lexical cues suffer greatly from the casual or word-of-mouth peculiarity of social media, in which the cue phrases are often expressed in sub-standard form or even omitted from sentences. To tackle these problems, this paper proposes the attention-based LSTM-CNNs for the …

An Architectural Design And Evaluation Of An Affective Tutoring System For Novice Programmers, Hua Leong Fwa

Research Collection School Of Computing and Information Systems

Affect is prevalent in learning and it influences students’ learning achievement. This paper details the design and evaluation of an Affective Tutoring System (ATS) that tutors student in computer programming. Although most ATSs are purpose built for a specific domain, making adaptation to another domain difficult, this ATS is architected for adaptability and extensibility. This study also addresses a lack of research exploring the theories and methods of integrating affect and learning within the learning process by proposing methods of regulating the negative affect of students. Both quantitative and qualitative techniques were used for evaluation of the effectiveness of the …

On Learning Psycholinguistics Tools For English-Based Creole Languages Using Social Media Data, Pei-Chi Lo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

The Linguistic Inquiry and Word Count (LIWC) tool is a psycholinguistics tool that has been widely used in both psychology and sociology research, and the LIWC scores derived from user-generated content are known to be good features for personality prediction [1], [2]. LIWC, however, is language specific as it relies on counting the percentage of predefined dictionary words occurring in the content. For content written in English Creoles which are languages based on English, the original English LIWC may not perform optimally due to its lack of words which are only used in the English Creoles. In this paper, we …

Text Analytics Approach To Extract Course Improvement Suggestions From Students’ Feedback, Swapna Gottipati, Venky Shankararaman, Jeff Rongsheng Lin

Research Collection School Of Computing and Information Systems

In academic institutions, it is normal practice that at the end of each term, students are required to complete a questionnaire that is designed to gather students’ perceptions of the instructor and their learning experience in the course. Students’ feedback includes numerical answers to Likert scale questions and textual comments to open-ended questions. Within the textual comments given by the students are embedded suggestions. A suggestion can be explicit or implicit. Any suggestion provides useful pointers on how the instructor can further enhance the student learning experience. However, it is tedious to manually go through all the qualitative comments and …

Personalized Microblog Sentiment Classification Via Adversarial Cross-Lingual Learning, Weichao Wang, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang

Research Collection School Of Computing and Information Systems

Sentiment expression in microblog posts can be affected by user’s personal character, opinion bias, political stance and so on. Most of existing personalized microblog sentiment classification methods suffer from the insufficiency of discriminative tweets for personalization learning. We observed that microblog users have consistent individuality and opinion bias in different languages. Based on this observation, in this paper we propose a novel user-attention-based Convolutional Neural Network (CNN) model with adversarial cross-lingual learning framework. The user attention mechanism is leveraged in CNN model to capture user’s language-specific individuality from the posts. Then the attention-based CNN model is incorporated into a novel …

Learning Generalized Video Memory For Automatic Video Captioning, Poo-Hee Chang, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Recent video captioning methods have made great progress by deep learning approaches with convolutional neural networks (CNN) and recurrent neural networks (RNN). While there are techniques that use memory networks for sentence decoding, few work has leveraged on the memory component to learn and generalize the temporal structure in video. In this paper, we propose a new method, namely Generalized Video Memory (GVM), utilizing a memory model for enhancing video description generation. Based on a class of self-organizing neural networks, GVM’s model is able to learn new video features incrementally. The learned generalized memory is further exploited to decode the …

Joint Representation Learning Of Cross-Lingual Words And Entities Via Attentive Distant Supervision, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong

Research Collection School Of Computing and Information Systems

Joint representation learning of words and entities benefits many NLP tasks, but has not been well explored in cross-lingual settings. In this paper, we propose a novel method for joint representation learning of cross-lingual words and entities. It captures mutually complementary knowledge, and enables cross-lingual inferences among knowledge bases and texts. Our method does not require parallel corpora, and automatically generates comparable data via distant supervision using multi-lingual knowledge bases. We utilize two types of regularizers to align cross-lingual words and entities, and design knowledge attention and crosslingual attention to further reduce noises. We conducted a series of experiments on …

Improving Multi-Label Emotion Classification Via Sentiment Classification With Dual Attention Transfer Network, Jianfei Yu, Luis Marujo, Jing Jiang, Pradeep Karuturi, William Brendel

Research Collection School Of Computing and Information Systems

In this paper, we target at improving the performance of multi-label emotion classification with the help of sentiment classification. Specifically, we propose a new transfer learning architecture to divide the sentence representation into two different feature spaces, which are expected to respectively capture the general sentiment words and the other important emotion-specific words via a dual attention mechanism. Extensive experimental results demonstrate that our transfer learning approach can outperform several strong baselines and achieve the state-of-the-art performance on two benchmark datasets.

An Integrative Approach To Investigating Bilingual Advantages In Cognitive Decline: The Australian Longitudinal Study Of Ageing, Wei Xing Toh, Andree Hartanto, Joanne Qin Ying Tan, Hwajin Yang

Research Collection School of Social Sciences

A commentary on “The relationship of bilingualism to cognitive decline: The Australian Longitudinal Study of Ageing” by Mukadam N, Jichi F, Green D, Livingston G (2018). International Journal of Geriatric Psychiatry, 33(2), e249‐e256, .

News Co-Occurrence, Attention Spillover, And Return Predictability, Li Guo, Lin Peng, Yubo Tao, Jun Tu

Research Collection School Of Economics

We examine the effect of investor attention spillover on stock return predictability. Using a novel measure, the News Network Triggered Attention index (NNTA), we find that NNTA negatively predicts market returns with a monthly in(out)-of-sample R-square of 5.97% (5.80%). In the cross-section, a long-short portfolio based on news co-occurrence generates a significant monthly alpha of 68 basis points. The results are robust to the inclusion of alternative attention proxies, sentiment measures, other news- and information-based predictors, across recession and expansion periods. We further validate the attention spillover effect by showing that news co-mentioning leads to greater increases in Google and …