Digital Commons Network^™

Are These Comments Triggering? Predicting Triggers Of Toxicity In Online Discussions, Hind Almerekhi, Haewoon Kwak, Joni Salminen, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

Understanding the causes or triggers of toxicity adds a new dimension to the prevention of toxic behavior in online discussions. In this research, we define toxicity triggers in online discussions as a non-toxic comment that lead to toxic replies. Then, we build a neural network-based prediction model for toxicity trigger. The prediction model incorporates text-based features and derived features from previous studies that pertain to shifts in sentiment, topic flow, and discussion context. Our findings show that triggers of toxicity contain identifiable features and that incorporating shift features with the discussion context can be detected with a ROC-AUC score of …

A Cue Adaptive Decoder For Controllable Neural Response Generation, Weichao Wang, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang

Research Collection School Of Computing and Information Systems

In open-domain dialogue systems, dialogue cues such as emotion, persona, and emoji can be incorporated into conversation models for strengthening the semantic relevance of generated responses. Existing neural response generation models either incorporate dialogue cue into decoder’s initial state or embed the cue indiscriminately into the state of every generated word, which may cause the gradients of the embedded cue to vanish or disturb the semantic relevance of generated words during back propagation. In this paper, we propose a Cue Adaptive Decoder (CueAD) that aims to dynamically determine the involvement of a cue at each generation step in the decoding. …

Parallel Spaces Of Migrant (Non-)Integration In Singapore: Latent Politics Of Distance And Difference Within A Diverse Christian Community, Orlando Woods, Lily Kong

Research Collection School of Social Sciences

This paper explores how the spatial practices of churches can lead to the (non-)integration of migrant communities. Whilst churches bring migrants and non-migrants together in space and time, so too can they cause them to become divided along ethnic, national, linguistic and/or class-based lines. In such cases, migrants can become integrated into a community of other migrants, which can discourage integration into the church-at-large, or into society more generally. These practices of (non-)integration give rise to parallel spaces of Christian praxis that can lead to the reproduction of distance and difference between (and within) migrant and non-migrant communities. To illustrate …

The Spatial Subversions Of Global Citizenship Education: Negotiating Imagined Inclusions And Everyday Exclusions In International Schools In China, Orlando Woods, Lily Kong

Research Collection School of Social Sciences

In recent years, schools around the world have started to adopt curriculums that attempt to transform students into “global” citizens. Global citizenship education is, however, a homogenising abstraction that has been cri- ticised for reflecting and reproducing (neo)liberal Western values; as such, it can be undermined by its delivery and everyday applications in non-Western contexts. This problem is pronounced in international schools, and is especially pronounced in China. By exploring the spatial subversions of international schools in China, this paper offers a new way of understanding the problems associated with delivering global citizenship education, and constructing global citizens. It draws …

Improving Neural Relation Extraction With Implicit Mutual Relations, Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou

Research Collection School Of Computing and Information Systems

Relation extraction (RE) aims at extracting the relation between two entities from the text corpora. It is a crucial task for Knowledge Graph (KG) construction. Most existing methods predict the relation between an entity pair by learning the relation from the training sentences, which contain the targeted entity pair. In contrast to existing distant supervision approaches that suffer from insufficient training corpora to extract relations, our proposal of mining implicit mutual relation from the massive unlabeled corpora transfers the semantic information of entity pairs into the RE model, which is more expressive and semantically plausible. After constructing an entity proximity …

Translation Of: Place: Derrida And Nishitani, Rolf Elberfeld, Steven Burik

Research Collection School of Social Sciences

In his works Chora [Derrida, Jacques. 1993. Khôra. Paris: Galilée] and “Comment ne pas parler? Denegations” Derrida used the metaphor chora from Plato’s Timaeus (49a and following) to continue his struggle with the metaphysics of presence. In 1926 Nishida, the founder of the Japanese Kyōto School, used the same metaphor to create a new foundation of philosophy. Nishitani, a disciple of Nishida, developed the work of Nishida in close connection to Zen Buddhist experiences. Derrida tries to show the limits of language within the game of language, whereas Nishitani starts from an experience beyond language, but tries to make …

Understanding Wikipedia As A Resource For Opportunistic Learning Of Computing Concepts, Martin P. Robillard, Christoph Treude

Research Collection School Of Computing and Information Systems

Posts on on-line forums where programmers look for information often include links to Wikipedia when it can be assumed the reader will not be familiar with the linked terms. A Wikipedia article will thus often be the first exposure to a new computing concept for a novice programmer. We conducted an exploratory study with 18 novice programmers by asking them to read a Wikipedia article on a common computing concept that was new to them, while using the think-aloud protocol. We performed a qualitative analysis of the session transcripts to better understand the experience of the novice programmer learning a …

Using Knowledge Bases For Question Answering, Yunshi Lan

Dissertations and Theses Collection (Open Access)

A knowledge base (KB) is a well-structured database, which contains many of entities and their relations. With the fast development of large-scale knowledge bases such as Freebase, DBpedia and YAGO, knowledge bases have become an important resource, which can serve many applications, such as dialogue system, textual entailment, question answering and so on. These applications play significant roles in real-world industry.

In this dissertation, we try to explore the entailment information and more general entity-relation information from the KBs. Recognizing textual entailment (RTE) is a task to infer the entailment relations between sentences. We need to decide whether a hypothesis …

An Empirical Study On Correlation Between Coverage And Robustness For Deep Neural Networks, Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jinsong Dong, Ting Dai

Research Collection School Of Computing and Information Systems

Deep neural networks (DNN) are increasingly applied in safety-critical systems, e.g., for face recognition, autonomous car control and malware detection. It is also shown that DNNs are subject to attacks such as adversarial perturbation and thus must be properly tested. Many coverage criteria for DNN since have been proposed, inspired by the success of code coverage criteria for software programs. The expectation is that if a DNN is well tested (and retrained) according to such coverage criteria, it is more likely to be robust. In this work, we conduct an empirical study to evaluate the relationship between coverage, robustness and …

Detecting Fake News In Social Media: An Asia-Pacific Perspective, Meeyoung Cha, Wei Gao, Cheng-Te Li

Research Collection School Of Computing and Information Systems

In March 2011, the catastrophic accident known as "The Fukushima Daiichi nuclear disaster" took place, initiated by the Tohoku earthquake and tsunami in Japan. The only nuclear accident to receive a Level-7 classification on the International Nuclear Event Scale since the Chernobyl nuclear power plant disaster in 1986, the Fukushima event triggered global concerns and rumors regarding radiation leaks. Among the false rumors was an image, which had been described as a map of radioactive discharge emanating into the Pacific Ocean, as illustrated in the accompanying figure. In fact, this figure, depicting the wave height of the tsunami that followed, …

S2n2: An Interpretive Semantic Structure Attention Neural Network For Trajectory Classification, Canghong Jin, Ting Tao, Xianzhe Luo, Zemin Liu, Minghui Wu

Research Collection School Of Computing and Information Systems

We have witnessed a rapid growth over past decades in sensor data mining (SDM), which aims at extracting valuable information automatically from large repositories of moving activity data. One of the significant SDM tasks is identifying humans through their transit modes using a variety of user-tracking systems. However, to the best of our knowledge, distinguishing traces of users and understanding their behaviors are difficult tasks in most real-life cases for the following reasons: 1) activity data containing both temporal and spatial contexts are of high order and sparse; 2) living patterns are not as regular as expected, and the route …

Translation Of: Interview With Jacques Derrida: The Western Question Of "Forgiveness" And The Intercultural Relation, Ning Zhang, Steven Burik

Research Collection School of Social Sciences

These two interviews with Jacques Derrida were conducted by Ning Zhang in 1999 and 2000, respectively, in preparation for the publication of his book Writing and Difference in Chinese and his first academic trip to China in 2001. In the first interview, Jacques Derrida tries to clarify the ethical concerns with regard to his deconstructive analysis of Western traditions, through his critical reading of the concept of forgiveness. In this interview he gives us a clearer insight into his ideas about the problem of intercultural exchange, especially concerning questions of translation, translatability, and untranslatability, as central issues of his work. …

Changes In Decision-Making Authority When Chaebol Firms Grow: From The Perspective Of Non-Family Managers, Changhwan Kim

Dissertations and Theses Collection (Open Access)

What changes do non-family managers in large family firms such as chaebols (Korean conglomerates) observe in their decision-making authority when their organizations grow? The intuitive expectation is that non-family managers' decision-making authority will grow in conjunction with the successful expansion of the business and growth of the firm.

Based on 45 in-depth semistructured interviews with non-family managers from a wide range of chaebol firms, this study analyzes how non-family managers perceive the change in their decision-making authority and the cause of this change.

The findings indicate that respondents perceive that their decision-making authority does not increase with the growth of …

Empire And Its Afterlives, Inder Marwah, Jennifer Pitts, Timothy Vasko, Onur Ulas Ince, Robert Nichols

Research Collection School of Social Sciences

At the time of its 2005 publication, Jennifer Pitts’ A Turn to Empire was among a handful of works in political theory probing imperialism’s constitutive influence over modern political thought.

The Effect Of Language On Voter Opinion: Results From A Survey Experiment In Thailand, Jacob I. Ricks

Research Collection School of Social Sciences

Politicians have long engaged in marketing themselves by employing distinct speaking styles to signal social standing, competence, or a shared background with their audience. What effect does this use of different language appeals have on voter opinion? Utilizing a survey experiment in Thailand, I test a set of hypotheses about the effect of language on respondent opinions. Relying on three distinct treatments, a formal language register, an informal language register, and an ethnic language, I demonstrate the multiple effects of language on political appeal. The use of a formal register has mixed effects, signaling both high education as well as …

What Are You Saying? Using Topic To Detect Financial Misreporting, Nerissa C. Brown, Richard M. Crowley, W. Brooke Elliott

Research Collection School Of Accountancy

We use a machine learning technique to assess whether the thematic content of financial statement disclosures (labeled topic) is incrementally informative in predicting intentional misreporting. Using a Bayesian topic modeling algorithm, we determine and empirically quantify the topic content of a large collection of 10‐K narratives spanning 1994 to 2012. We find that the algorithm produces a valid set of semantically meaningful topics that predict financial misreporting, based on samples of Securities and Exchange Commission (SEC) enforcement actions (Accounting and Auditing Enforcement Releases [AAERs]) and irregularities identified from financial restatements and 10‐K filing amendments. Our out‐of‐sample tests indicate that topic …

Predicting Student Performance In Interactive Online Question Pools Using Mouse Interaction Features, Huan Wei, Haotian Li, Meng Xia, Yong Wang, Huamin Qu

Research Collection School Of Computing and Information Systems

Modeling student learning and further predicting the performance is a well-established task in online learning and is crucial to personalized education by recommending different learning resources to different students based on their needs. Interactive online question pools (e.g., educational game platforms), an important component of online education, have become increasingly popular in recent years. However, most existing work on student performance prediction targets at online learning platforms with a well-structured curriculum, predefined question order and accurate knowledge tags provided by domain experts. It remains unclear how to conduct student performance prediction in interactive online question pools without such well-organized question …

Interpretable Rumor Detection In Microblogs By Attending To User Interactions, Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian, Jing Jiang

Research Collection School Of Computing and Information Systems

We address rumor detection by learning to differentiate between the community’s response to real and fake claims in microblogs. Existing state-of-the-art models are based on tree models that model conversational trees. However, in social media, a user posting a reply might be replying to the entire thread rather than to a specific user. We propose a post-level attention model (PLAN) to model long distance interactions between tweets with the multi-head attention mechanism in a transformer network. We investigated variants of this model: (1) a structure aware self-attention model (StA-PLAN) that incorporates tree structure information in the transformer network, and (2) …

Topic Modeling On Document Networks With Adjacent-Encoder, Ce Zhang, Hady W. Lauw

Research Collection School Of Computing and Information Systems

Oftentimes documents are linked to one another in a network structure,e.g., academic papers cite other papers, Web pages link to other pages. In this paper we propose a holistic topic model to learn meaningful and unified low-dimensional representations for networked documents that seek to preserve both textual content and network structure. On the basis of reconstructing not only the input document but also its adjacent neighbors, we develop two neural encoder architectures. Adjacent-Encoder, or AdjEnc, induces competition among documents for topic propagation, and reconstruction among neighbors for semantic capture. Adjacent-Encoder-X, or AdjEnc-X, extends this to also encode the network structure …

Image Enhanced Event Detection In News Articles, Meihan Tong, Shuai Wang, Yixin Cao, Bin Xu, Juaizi Li, Lei Hou, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Event detection is a crucial and challenging sub-task of event extraction, which suffers from a severe ambiguity issue of trigger words. Existing works mainly focus on using textual context information, while there naturally exist many images accompanied by news articles that are yet to be explored. We believe that images not only reflect the core events of the text, but are also helpful for the disambiguation of trigger words. In this paper, we first contribute an image dataset supplement to ED benchmarks (i.e., ACE2005) for training and evaluation. We then propose a novel Dual Recurrent Multimodal Model, DRMM, to conduct …

An Empirically Supported Taxonomy Of Misinformation, Mark Chong, Murphy Choy

Research Collection Lee Kong Chian School Of Business

Fake news, which includes both disinformation and misinformation, has been a challenge for many countries in the last few years. Disinformation has been present in modern history as part of the tool kit of PSYOPS for the military. Likewise, misinformation has been part of human history for a long time. Hoaxes, rumors, and urban legends—all of which can be classified as differing types of misinformation, although they are not commonly addressed as such—have been exploited by adversarial organizations for their own benefit. This study will propose a comprehensive taxonomy to tackle fake news, disinformation, and misinformation and assess the level …

Apply Liberally: Towards A Model Of Liberal Management Education, Howard Thomas

Research Collection Lee Kong Chian School Of Business

Howard Thomas argues the case for integrating the liberal arts into management education so that the existing curricula emphasis on technological and analytical acumen is balanced with skills of critical thinking and ethical intelligence necessary for managerial judgment.

Situational Judgment Tests For Selection: Traditional Versus Construct-Driven Approaches, Paul A. Tiffin, Lewis W. Paton, Deborah O'Mara, Carolyn Maccann, Jonas W. B. Lang, Filip Lievens

Research Collection Lee Kong Chian School Of Business

Context: Historically, situational judgement tests (SJTs) have been widely used for personnel selection. Their use in medical selection in Europe is growing, with plans for further expansion into North America and Australasia, in an attempt to measure and select on ‘non-academic’ personal attributes. However, there is a lack of clarity regarding what such tests actually measure and how they should be designed, scored and implemented within the medical and health education selection process. In particular, the theoretical basis from which such tests are developed will determine the scoring options available, influencing their psychometric properties and, ultimately, their validity. Methods: The …

Multi-Level Head-Wise Match And Aggregation In Transformer For Textual Sequence Matching, Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu

Research Collection School Of Computing and Information Systems

Transformer has been successfully applied to many natural language processing tasks. However, for textual sequence matching, simple matching between the representation of a pair of sequences might bring in unnecessary noise. In this paper, we propose a new approach to sequence pair matching with Transformer, by learning head-wise matching representations on multiple levels. Experiments show that our proposed approach can achieve new state-of-the-art performance on multiple tasks that rely only on pre-computed sequence-vectorrepresentation, such as SNLI, MNLI-match, MNLI-mismatch, QQP, and SQuAD-binary

Distinguishing Similar Design Pattern Instances Through Temporal Behavior Analysis, Renhao Xiong, David Lo, Bixin Li

Research Collection School Of Computing and Information Systems

Design patterns (DPs) encapsulate valuable design knowledge of object-oriented systems. Detecting DP instances helps to reveal the underlying rationale, thus facilitates the maintenance of legacy code. Resulting from the internal similarity of DPs, implementation variants, and missing roles, approaches based on static analysis are unable to well identify structurally similar instances. Existing approaches further employ dynamic techniques to test the runtime behaviors of candidate instances. Automatically verifying the runtime behaviors of DP instances is a challenging task in multiple aspects. This paper presents an approach to improve the verification process of existing approaches. To exercise the runtime behaviors of DP …

Are The Code Snippets What We Are Searching For? A Benchmark And An Empirical Study On Code Search With Natural-Language Queries, Shuhan Yan, Hang Yu, Yuting Chen, Beijun Shen

Research Collection School Of Computing and Information Systems

Code search methods, especially those that allow programmers to raise queries in a natural language, plays an important role in software development. It helps to improve programmers' productivity by returning sample code snippets from the Internet and/or source-code repositories for their natural-language queries. Meanwhile, there are many code search methods in the literature that support natural-language queries. Difficulties exist in recognizing the strengths and weaknesses of each method and choosing the right one for different usage scenarios, because (1) the implementations of those methods and the datasets for evaluating them are usually not publicly available, and (2) some methods leverage …

Multi-Level Fine-Scaled Sentiment Sensing With Ambivalence Handling, Zhaoxia Wang, Seng-Beng Ho, Erik Cambria

Research Collection School Of Computing and Information Systems

Social media represent a rich source of information, such as critiques, feedback, and other opinions posted online by Internet users. Such information is typically a good reflection of users’ sentiments and attitudes towards various services, topics, or products. Sentiment analysis has become an increasingly important natural language processing (NLP) task to help users make sense of what is happening in the Internet blogosphere and it can be useful for companies as well as public organizations. However, most existing sentiment analysis techniques are only able to analyze data at the aggregate level, merely providing a binary classification (positive vs. negative), and …

Essential Sentences For Navigating Stack Overflow Answers, Sarah Nadi, Christoph Treude

Research Collection School Of Computing and Information Systems

Stack Overflow (SO) has become an essential resource for software development. Despite its success and prevalence, navigating SO remains a challenge. Ideally, SO users could benefit from highlighted navigational cues that help them decide if an answer is relevant to their task and context. Such navigational cues could be in the form of essential sentences that help the searcher decide whether they want to read the answer or skip over it. In this paper, we compare four potential approaches for identifying essential sentences. We adopt two existing approaches and develop two new approaches based on the idea that contextual information …

Imagining Money, J.G. Allen

Research Collection Yong Pung How School Of Law

John Clarke presents the theme of this volume by asking why we might speak of “imagined economies”. It is, he answers, “to interrupt the apparent ubiquity of economies”, to provide a moment for “a pause for thought”. In this chapter, I explore the role that imagination plays in the creation and maintenance of a money system. Money is important to the existence and functioning of an economy.1 Money, too, seems ubiquitous and naturally-occurring, so I want to pause and consider why it is that we might have money and what exactly it is doing. Different objects have served as money, …

To Thine Communication Partner Be True: The Effect Of Presentation Consistency On Perceived Authenticity And Liking After Making A First Impression Online, Nicholas Tang, Janell Chu, Kahmun Leong, Sonny Rosenthal

Research Collection College of Integrative Studies

This experiment examines the effects of presentation consistency on perceived authenticity and liking in computer-mediated communication, differentiating between profile views and short online text-based conversations. The experimental design is a 2 (presentation-consistent vs. -inconsistent) × 2 (profile view vs. short conversation) between-subjects experiment using university students (N = 173) in Singapore. Results show higher perceived authenticity (η2p = .29) and liking after short conversations than after profile views without conversations. When there is only a profile view, perceived authenticity is lower when the profile photo is inconsistent with the profile text than when it is consistent (η2p = .05). We …