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Articles 1021 - 1050 of 1692
Full-Text Articles in Entire DC Network
An Interpretable Neural Fuzzy Inference System For Predictions Of Underpricing In Initial Public Offerings, Di Wang, Xiaolin Qian, Chai Quek, Ah-Hwee Tan, Chunyan Miao, Xiaofeng Zhang, Geok See Ng, You Zhou
An Interpretable Neural Fuzzy Inference System For Predictions Of Underpricing In Initial Public Offerings, Di Wang, Xiaolin Qian, Chai Quek, Ah-Hwee Tan, Chunyan Miao, Xiaofeng Zhang, Geok See Ng, You Zhou
Research Collection School Of Computing and Information Systems
Due to their aptitude in both accurate data processing and human comprehensible reasoning, neural fuzzy inference systems have been widely adopted in various application domains as decision support systems. Especially in real-world scenarios such as decision making in financial transactions, the human experts may be more interested in knowing the comprehensive reasons of certain advices provided by a decision support system in addition to how confident the system is on such advices. In this paper, we apply an integrated autonomous computational model termed genetic algorithm and rough set incorporated neural fuzzy inference system (GARSINFIS) to predict underpricing in initial public …
Bilingualism Confers Advantages In Task Switching: Evidence From The Dimensional Change Card Sort Task, Hwajin Yang, Andree Hartanto, Sujin Yang
Bilingualism Confers Advantages In Task Switching: Evidence From The Dimensional Change Card Sort Task, Hwajin Yang, Andree Hartanto, Sujin Yang
Research Collection School of Social Sciences
We examined the influence of bilingualism on task switching by inspecting various markers for task-switching costs. English monolinguals and Korean–English bilinguals completed a modified Dimensional Change Card Sort task based on a nonverbal task-switching paradigm. We found advantages for Korean–English bilinguals in terms of smaller single-task (pure-block) switch costs and greater reactivation benefits than those of English monolinguals. However, bilingual advantages in mixing costs were relatively weak, and the two groups did not differ on local switch costs. Notably, when we approximated the cue-based priming effect in single-task (pure) blocks, we found no evidence that the locus of bilingual advantages …
Effects Of Cultural Tightness-Looseness And Social Network Density On Expression Of Positive And Negative Emotions: A Large-Scale Study Of Impression Management By Facebook Users, Pan Liu, David Chan, Lin Qiu, William Tov, Victor Joo Chuan Tong
Effects Of Cultural Tightness-Looseness And Social Network Density On Expression Of Positive And Negative Emotions: A Large-Scale Study Of Impression Management By Facebook Users, Pan Liu, David Chan, Lin Qiu, William Tov, Victor Joo Chuan Tong
Research Collection School of Social Sciences
Using data from 13,789 Facebook users across U.S. states, this study examined the main effects of societal-level cultural tightness–looseness and its interaction effects with individuals’ social network density on impression management (IM) in terms of online emotional expression. Results showed that individuals from culturally tight (vs. loose) states were more likely to express positive emotions and less likely to express negative emotions. Meanwhile, for positive emotional expression, there was a tightness–looseness by social network density interaction effect. In culturally tight states, individuals with dense (vs. sparse) networks were more likely to express positive emotions, while in culturally loose states this …
Predicting Visual Context For Unsupervised Event Segmentation In Continuous Photo-Streams, Ana García Del Molino, Joo-Hwee Lim, Ah-Hwee Tan
Predicting Visual Context For Unsupervised Event Segmentation In Continuous Photo-Streams, Ana García Del Molino, Joo-Hwee Lim, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Segmenting video content into events provides semantic structures for indexing, retrieval, and summarization. Since motion cues are not available in continuous photo-streams, and annotations in lifelogging are scarce and costly, the frames are usually clustered into events by comparing the visual features between them in an unsupervised way. However, such methodologies are ineffective to deal with heterogeneous events, e.g. taking a walk, and temporary changes in the sight direction, e.g. at a meeting. To address these limitations, we propose Contextual Event Segmentation (CES), a novel segmentation paradigm that uses an LSTM-based generative network to model the photo-stream sequences, predict their …
Deep Understanding Of Cooking Procedure For Cross-Modal Recipe Retrieval, Jingjing Chen, Chong-Wah Ngo, Fu-Li Feng, Tat-Seng Chua
Deep Understanding Of Cooking Procedure For Cross-Modal Recipe Retrieval, Jingjing Chen, Chong-Wah Ngo, Fu-Li Feng, Tat-Seng Chua
Research Collection School Of Computing and Information Systems
Finding a right recipe that describes the cooking procedure for a dish from just one picture is inherently a difficult problem. Food preparation undergoes a complex process involving raw ingredients, utensils, cutting and cooking operations. This process gives clues to the multimedia presentation of a dish (e.g., taste, colour, shape). However, the description of the process is implicit, implying only the cause of dish presentation rather than the visual effect that can be vividly observed on a picture. Therefore, different from other cross-modal retrieval problems in the literature, recipe search requires the understanding of textually described procedure to predict its …
The Human Penguin Project: Climate, Social Integration, And Core Body Temperature, H. Ijzerman, S. Lindenberg, I. Dalgar, S.S.C. Weissgerber, R.C. Vergara, A.H. Cairo, M.V. Colic, P. Dursun, N. Frankowska, R. Hadi, C.J. Hall, Y. Hong, C.P. Hu, J. Joy-Gaba, Sim Su-Hsien, Samantha
The Human Penguin Project: Climate, Social Integration, And Core Body Temperature, H. Ijzerman, S. Lindenberg, I. Dalgar, S.S.C. Weissgerber, R.C. Vergara, A.H. Cairo, M.V. Colic, P. Dursun, N. Frankowska, R. Hadi, C.J. Hall, Y. Hong, C.P. Hu, J. Joy-Gaba, Sim Su-Hsien, Samantha
Research Collection Lee Kong Chian School Of Business
Social thermoregulation theory posits that modern human relationships are pleisiomorphically organized around body temperature regulation. In two studies (N = 1755) designed to test the principles from this theory, we used supervised machine learning to identify social and non-social factors that relate to core body temperature. This data-driven analysis found that complex social integration (CSI), defined as the number of high-contact roles one engages in, is a critical predictor of core body temperature. We further used a cross-validation approach to show that colder climates relate to higher levels of CSI, which in turn relates to higher CBT (when climates get …
The Making Of A Construct: Lessons From 30 Years Of The Kogut And Singh Cultural Distance Index, Ilya R. P. Cuypers, Gokhan Ertug, Pursey Pmar M.A.R. Heugens, Bruce Kogut, Tengjian Zou
The Making Of A Construct: Lessons From 30 Years Of The Kogut And Singh Cultural Distance Index, Ilya R. P. Cuypers, Gokhan Ertug, Pursey Pmar M.A.R. Heugens, Bruce Kogut, Tengjian Zou
Research Collection Lee Kong Chian School Of Business
The 30-year anniversary of Kogut and Singh’s (1988) groundbreaking study that introduced the concept of cultural distance and its accompanying measure provides the opportunity to take stock of what makes for a good construct. We organize our discussion around the issues of concept, algorithm, and data to clarify and gauge their contribution, before highlighting the impact of their work more generally. Many of the challenges raised by critical observers focus on one of these three dimensions. As there is value in looking systematically at the construct from concept to data, we set out the argument of the index and discuss …
Multiperspective Graph-Theoretic Similarity Measure, Dung D. Le, Hady W. Lauw
Multiperspective Graph-Theoretic Similarity Measure, Dung D. Le, Hady W. Lauw
Research Collection School Of Computing and Information Systems
Determining the similarity between two objects is pertinent to many applications. When the basis for similarity is a set of object-to-object relationships, it is natural to rely on graph-theoretic measures. One seminal technique for measuring the structural-context similarity between a pair of graph vertices is SimRank, whose underlying intuition is that two objects are similar if they are connected by similar objects. However, by design, SimRank as well as its variants capture only a single view or perspective of similarity. Meanwhile, in many real-world scenarios, there emerge multiple perspectives of similarity, i.e., two objects may be similar from one perspective, …
The Politics Of Disaster: The Great Singapore Flood Of 1954, Fiona Williamson
The Politics Of Disaster: The Great Singapore Flood Of 1954, Fiona Williamson
Research Collection School of Social Sciences
Singapore in the 1950s was a deeply divided society. Struggling to recover from the hardships ofthe Second World War and fighting an internal battle that the British government termed an‘emergency’, it was a time of hardship, tension, and anxiety. In the midst of this crisis, Singapore’sinhabitants continued to manage the natural elements of their climate and environment, especiallythe dangerous combination of heavy monsoonal rains, low-lying marshland, and tidal flooding.This article examines the circumstances surrounding a particularly severe episode of flooding thatoccurred in December 1954. It explores how the flood’s impact was exacerbated by humanexigencies, especially recent government resettlement plans and …
Siac-Simc's Arb-Med-Arb Protocol, Aziah Hussin, Claudia Kuck, Nadja Alexander
Siac-Simc's Arb-Med-Arb Protocol, Aziah Hussin, Claudia Kuck, Nadja Alexander
Research Collection Yong Pung How School Of Law
In conjunction with its launch on 5 November 2014, the Singapore International MediationCentre (SIMC), in collaboration with the Singapore International Arbitration Centre (SIAC), introduced the Arbitration-Mediation-Arbitration (Arb-Med-Arb) Protocol (the AMA Protocol), aprocess that aims at combining the benefits of these two most prominent alternative dispute resolution tools.
Towards More Intra-Asia Judicial Cooperation In The Constitutional Sphere, Maartje De Visser
Towards More Intra-Asia Judicial Cooperation In The Constitutional Sphere, Maartje De Visser
Research Collection Yong Pung How School Of Law
On 14 August 2015, the Association of Asian Constitutional Courts and Equivalent Institutions unanimously agreed to welcome Myanmar’s Constitutional Tribunal and the constitutional chamber of the Supreme Court of Kyrgyzstan as new members.
Automating Intention Mining, Qiao Huang, Xin Xia, David Lo, Gail C. Murphy
Automating Intention Mining, Qiao Huang, Xin Xia, David Lo, Gail C. Murphy
Research Collection School Of Computing and Information Systems
Developers frequently discuss aspects of the systems they are developing online. The comments they post to discussions form a rich information source about the system. Intention mining, a process introduced by Di Sorbo et al., classifies sentences in developer discussions to enable further analysis. As one example of use, intention mining has been used to help build various recommenders for software developers. The technique introduced by Di Sorbo et al. to categorize sentences is based on linguistic patterns derived from two projects. The limited number of data sources used in this earlier work introduces questions about the comprehensiveness of intention …
Categorizing The Content Of Github Readme Files, Gede Artha Azriadi Prana, Christoph Treude, Ferdian Thung, Thushari Atapattu, David Lo
Categorizing The Content Of Github Readme Files, Gede Artha Azriadi Prana, Christoph Treude, Ferdian Thung, Thushari Atapattu, David Lo
Research Collection School Of Computing and Information Systems
README files play an essential role in shaping a developer’s first impression of a software repository and in documenting the software project that the repository hosts. Yet, we lack a systematic understanding of the content of a typical README file as well as tools that can process these files automatically. To close this gap, we conduct a qualitative study involving the manual annotation of 4,226 README file sections from 393 randomly sampled GitHub repositories and we design and evaluate a classifier and a set of features that can categorize these sections automatically. We find that information discussing the ‘What’ and …
Editorial For The Special Issue Entitled: New Advances In Spatial Econometrics: Interactions Matter, Nicolas Debarsy, Zhenlin Yang
Editorial For The Special Issue Entitled: New Advances In Spatial Econometrics: Interactions Matter, Nicolas Debarsy, Zhenlin Yang
Research Collection School Of Economics
This Regional Science and Urban Economics special issue collects together a subset of contributions presented in the 15th edition of the International Workshop in Spatial Econometrics and Statistics, which was organized by the Department of Economics of the University of Orléans (Laboratoire d’Economie d’Orléans – UMR CNRS 7322) on May 26-27 2016
Laozi In Stanford Encyclopedia Of Philosophy, Alan Kam Leung Chan
Laozi In Stanford Encyclopedia Of Philosophy, Alan Kam Leung Chan
Research Collection College of Integrative Studies
Confucianism, Daoism (Taoism), and Buddhism generally name the three main currents of Chinese thought, although it should be obvious that like any “ism,” they are abstractions—what they name are not monolithic but multifaceted traditions with fuzzy boundaries. In the case of “Daoism,” it designates both a philosophical tradition and an organized religion, which in modern Chinese are identified separately as daojia and daojiao, respectively. With their own rich histories and internal differences, the two are deeply intertwined. Laozi (or Lao-tzu, in the “Wade-Giles” system of transliteration favored by earlier generations of Western scholars) figures centrally in both.
Densely Connected Bidirectional Lstm With Applications To Sentence Classification, Zixiang Ding, Rui Xia, Jianfei Yu, Xiang Li, Jian Yang
Densely Connected Bidirectional Lstm With Applications To Sentence Classification, Zixiang Ding, Rui Xia, Jianfei Yu, Xiang Li, Jian Yang
Student Publications
Deep neural networks have recently been shown to achieve highly competitive performance in many computer vision tasks due to their abilities of exploring in a much larger hypothesis space. However, since most deep architectures like stacked RNNs tend to suffer from the vanishing-gradient and overfitting problems, their effects are still understudied in many NLP tasks. Inspired by this, we propose a novel multi-layer RNN model called densely connected bidirectional long short-term memory (DCBi-LSTM) in this paper, which essentially represents each layer by the concatenation of its hidden state and all preceding layers’ hidden states, followed by recursively passing each layer’s …
Sentence Compression With Reinforcement Learning, Liangguo Wang, Jing Jiang, Lejian Liao
Sentence Compression With Reinforcement Learning, Liangguo Wang, Jing Jiang, Lejian Liao
Research Collection School Of Computing and Information Systems
Deletion-based sentence compression is frequently formulated as a constrained optimization problem and solved by integer linear programming (ILP). However, ILP methods searching the best compression given the space of all possible compressions would be intractable when dealing with overly long sentences and too many constraints. Moreover, the hard constraints of ILP would restrict the available solutions. This problem could be even more severe considering parsing errors. As an alternative solution, we formulate this task in a reinforcement learning framework, where hard constraints are used as rewards in a soft manner. The experiment results show that our method achieves competitive performance …
Neural Collective Entity Linking, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu
Neural Collective Entity Linking, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu
Research Collection School Of Computing and Information Systems
Entity Linking aims to link entity mentions in texts to knowledge bases, and neural models have achieved recent success in this task. However, most existing methods rely on local contexts to resolve entities independently, which may usually fail due to the data sparsity of local information. To address this issue, we propose a novel neural model for collective entity linking, named as NCEL. NCEL applies Graph Convolutional Network to integrate both local contextual features and global coherence information for entity linking. To improve the computation efficiency, we approximately perform graph convolution on a subgraph of adjacent entity mentions instead of …
Embedding Wordnet Knowledge For Textual Entailment, Yunshi Lan, Jing Jiang
Embedding Wordnet Knowledge For Textual Entailment, Yunshi Lan, Jing Jiang
Research Collection School Of Computing and Information Systems
In this paper, we study how we can improve a deep learning approach to textual entailment by incorporating lexical entailment relations from WordNet. Our idea is to embed the lexical entailment knowledge contained in WordNet in specially-learned word vectors, which we call “entailment vectors.” We present a standard neural network model and a novel set-theoretic model to learn these entailment vectors from word pairs with known lexical entailment relations derived from WordNet. We further incorporate these entailment vectors into a decomposable attention model for textual entailment and evaluate the model on the SICK and the SNLI dataset. We find that …
Ethical And Moral Issues With Ai, Weiyu Wang, Keng Siau
Ethical And Moral Issues With Ai, Weiyu Wang, Keng Siau
Research Collection School Of Computing and Information Systems
AI-based technology has achieved many great things, such as facial recognition, medical diagnosis, and self-driving cars. AI promises enormous benefits for economic growth, social development, as well as human well-being and safety improvement. However, the low-level of explainability, data security, data privacy, and ethical problems of AI-based technology also pose significant risks for users, developers, and governments. As the AI advances, one critical issue is how to address the ethical and moral challenges associated with AI. This study will focus on the ethics and morality issues that may be caused by AI, andmay arise because of AI. This research uses …
Knowledge As A Bridge: Improving Cross-Domain Answer Selection With External Knowledge, Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei
Knowledge As A Bridge: Improving Cross-Domain Answer Selection With External Knowledge, Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei
Research Collection School Of Computing and Information Systems
Answer selection is an important but challenging task. Significant progresses have been made in domains where a large amount of labeled training data is available. However, obtaining rich annotated data is a time-consuming and expensive process, creating a substantial barrier for applying answer selection models to a new domain which has limited labeled data. In this paper, we propose Knowledge-aware Attentive Network (KAN), a transfer learning framework for cross-domain answer selection, which uses the knowledge base as a bridge to enable knowledge transfer from the source domain to the target domains. Specifically, we design a knowledge module to integrate the …
Lawstats – Large-Scale German Court Decision Evaluation Using Web Service Classifiers, Eugen Ruppert, Dirk Hartung, Phillip Sittig, Tjorben Gschwander, Lennart Rönneburg, Tobias Killing, Chris Biemann
Lawstats – Large-Scale German Court Decision Evaluation Using Web Service Classifiers, Eugen Ruppert, Dirk Hartung, Phillip Sittig, Tjorben Gschwander, Lennart Rönneburg, Tobias Killing, Chris Biemann
Research Collection Yong Pung How School Of Law
LawStats provides quantitative insights into court decisions from the Bundesgerichtshof - Federal Court of Justice (BGH), the Federal Court of Justice in Germany. Using Watson Web Services and approaches from Sentiment Analysis (SA), we can automatically classify the revision outcome and offer statistics on judges, senates, previous instances etc. via faceted search. These statistics are accessible through a open web interface to aid law professionals. With a clear focus on interpretability, users can not only explore statistics, but can also understand, which sentences in the decision are responsible for the machine’s decision; links to the original texts provide more context. …
Comments On The Setting Up And The Growth Of Smu By Mr Heng Swee Keat, Minister For Finance At Smu Commencement Ceremony 2018, Swee Keat Heng
Comments On The Setting Up And The Growth Of Smu By Mr Heng Swee Keat, Minister For Finance At Smu Commencement Ceremony 2018, Swee Keat Heng
Oral History Collection
Speech by Mr Heng Swee Keat, Minister for Finance at SMU Commencement Ceremony on 31 July 2018. He talked about the setting up and growth of SMU and thanked Arnoud De Meyer for his constributions as SMU President.
Smu Celebrates The Graduation Of Its 15th And Largest Batch, Singapore Management University
Smu Celebrates The Graduation Of Its 15th And Largest Batch, Singapore Management University
SMU Press Releases and News
Singapore Management University (SMU) kicked off four days of graduation celebration for the Class of 2018 today at the Opening Ceremony of SMU Commencement 2018. The ceremony, which was graced by Guest-of-Honour Mr Heng Swee Keat, Minister for Finance, was held on SMU campus today with 1,000 graduates, award winners, as well as family and friends of the graduates in attendance.
Coping With Stereotype Threat: Multiple Identities And The Role Of Gender-Professional Identity Integration (G-Pii), Amy Jia Ying Lim
Coping With Stereotype Threat: Multiple Identities And The Role Of Gender-Professional Identity Integration (G-Pii), Amy Jia Ying Lim
Dissertations and Theses Collection (Open Access)
Negative stereotypes concerning females’ inferior quantitative abilities continue to hinder females’ preference and success in science, technology, engineering, and mathematics (STEM) fields. Studies on multiple identities show that priming females with a favorable identity, a social identity they possess that is associated with superior quantitative abilities, can reduce the aversive effects of stereotype threat. However, this line of research overlooked the fact that females manage their multiple identities in different ways and therefore respond to identity cues differently. This paper examined the role of gender-professional identity integration (G-PII), an individual difference on perceived compatibility of gender and professional identities, in …
Context Recovery In Location-Based Social Networks, Wen Haw Chong
Context Recovery In Location-Based Social Networks, Wen Haw Chong
Dissertations and Theses Collection (Open Access)
This dissertation addresses context recovery in Location-Based Social Networks (LBSN), which are platforms where users post content from various locations. With this general LBSN definition, many existing social media platforms that support user-generated location relevant content using mobile devices could also qualify as LBSNs. Context recovery for such user posts refers to recovering the venue and the semantic contexts of these user posts. Such information is useful for user profiling and to support various applications such as venue recommendation and location- based advertising.
Searching For The X-Factor: Exploring Corpus Subjectivity For Word Embeddings, Maksim Tkachenko, Chong Cher Chia, Hady W. Lauw
Searching For The X-Factor: Exploring Corpus Subjectivity For Word Embeddings, Maksim Tkachenko, Chong Cher Chia, Hady W. Lauw
Research Collection School Of Computing and Information Systems
We explore the notion of subjectivity, and hypothesize that word embeddings learnt from input corpora of varying levels of subjectivity behave differently on natural language processing tasks such as classifying a sentence by sentiment, subjectivity, or topic. Through systematic comparative analyses, we establish this to be the case indeed. Moreover, based on the discovery of the outsized role that sentiment words play on subjectivity-sensitive tasks such as sentiment classification, we develop a novel word embedding SentiVec which is infused with sentiment information from a lexical resource, and is shown to outperform baselines on such tasks.
A Co-Matching Model For Multi-Choice Reading Comprehension, Shuohang Wang, Mo Yu, Shiyu Chang, Jing Jiang
A Co-Matching Model For Multi-Choice Reading Comprehension, Shuohang Wang, Mo Yu, Shiyu Chang, Jing Jiang
Research Collection School Of Computing and Information Systems
Multi-choice reading comprehension is a challenging task, which involves the matching between a passage and a question-answer pair. This paper proposes a new co-matching approach to this problem, which jointly models whether a passage can match both a question and a candidate answer. Experimental results on the RACE dataset demonstrate that our approach achieves state-of-the-art performance.
Summarizing Source Code With Transferred Api Knowledge, Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin
Summarizing Source Code With Transferred Api Knowledge, Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin
Research Collection School Of Computing and Information Systems
Code summarization, aiming to generate succinct natural language description of source code, is extremely useful for code search and code comprehension. It has played an important role in software maintenance and evolution. Previous approaches generate summaries by retrieving summaries from similar code snippets. However, these approaches heavily rely on whether similar code snippets can be retrieved, how similar the snippets are, and fail to capture the API knowledge in the source code, which carries vital information about the functionality of the source code. In this paper, we propose a novel approach, named TL-CodeSum, which successfully uses API knowledge learned in …
How National Culture Influences Individuals’ Subjective Experience With Paradoxical Tensions, Joshua Keller, Erica Wen Chen, Angela K. Y. Leung
How National Culture Influences Individuals’ Subjective Experience With Paradoxical Tensions, Joshua Keller, Erica Wen Chen, Angela K. Y. Leung
Research Collection School of Social Sciences
Purpose: The purpose of this paper is to examine how national culture influences individuals’ subjective experience of tension when confronting paradoxical demands that arise during their day-to-day organizational experience. The paper further explores two types of paradoxical demands (task-oriented and relational-oriented) and two mediating mechanisms (tolerance for contradictions and harmony enhancement concerns) that exhibit contrary cultural effects.Design/methodology/approach: Drawing from a sample of white-collar workers in China and the USA, the authors first inductively generated scenarios with task-oriented and relational-oriented paradoxical demands and then conducted three studies where participants rated the perceived tension from the scenarios. In Study 1, they examined …