EXPRESS - Expression and Recognition of Irony in Multicultural Social Media
Paula Carvalho, Sílvio Moreira, Filipe Nuno Marques Pires da Silva
Abstract : The main goal of this project is to systematically analyze the expression of irony and sarcasm in social media, in a cross-lingual and multicultural perspective, aiming at its automatic detection. Automating the detection of irony and sarcasm is yet an unsolved problem. Previous efforts to achieve this aim have been limited in their approach, tending to focus on shallow textual cues indicative of ironic intent. Research has not systematically explored specific linguistic patterns and rhetorical strategies typically used to express verbal and situational irony in text. Moreover, previous studies usually consider these phenomena as a whole, instead of analyzing independently the mechanisms involved in expressing it.
This project aims to answer the following open research questions that are critical to improving irony and sarcasm detection in text mining activities:
i. In social media content, are the linguistic and extra-linguistic mechanisms used to express irony and sarcasm language-dependent? ii. To what extent does irony expression and representativeness differ across domains, geographical regions, and targets involved? iii. Which are the most representative linguistic and extra-linguistic devices used to express irony in different types of domains and topics? iv. How reliable are individuals with respect to identifying and processing ironic messages? v. Which rhetorical devices are easier to recognize, and which ones are particularly hard to detect, especially by humans not sharing the same cultural and pragmatic context? vi. Which types of approaches best suit the automatic detection of irony and sarcasm in text? Are we capable of training shallow models to learn these phenomena? Or should we explicitly explore contextual and linguistic information, using advanced NLP strategies?
The main results achieved in the scope of this project will be presented by:
- Paula Carvalho: Identifying Situational Irony in News Headlines - Sílvio Moreira: Modelling context with user embeddings for sarcasm detection in social media - Filipe Silva: Computational Detection of Irony in Textual MessagesDate: 2016-Dec-19 Time: 11:00:00 Room: 336
Algorithmic Mechanisms for Reliable Internet-based Master-Worker Computing: An Evolutionary Approach
University of Cyprus
Abstract : The need for high-performance computing and the growing use of personal computers and their capabilities, and the wide access to the Internet, have established Internet-based computing as an inexpensive alternative to supercomputers. The most popular form of Internet-based computing is volunteer computing, where computing resources are volunteered by the public to help solve (mainly) scientific problems. BOINC is a popular platform where volunteer computing projects run, such as SETI@home. Profit-seeking computation platforms, such as Amazonís Mechanical Turk, have also become popular. One of the main challenges for further exploiting the promise of such platforms is the untrustworthiness of the participating entities.
In this talk I will focus on Internet-based Master-Worker task computations, where a master process sends tasks, across the Internet, to worker processes to compute and return back a result. Workers, however, are not trustworthy, and might be at their best interest (or due to malice or malfunction) to report incorrect results. Through different studies, workers have been categorized as either malicious (always report an incorrect result), altruistic (always report a correct result), or rational (report whatever result maximizes their benefit). I will explain how such computations can be modeled using evolutionary dynamics and identify the conditions under which the master can reliably obtain the task results.
The talk is based on work performed jointly with Evgenia Christoforou (IMDEA Networks), Antonio Fernandez Anta (IMDEA Networks), Miguel Mosteiro (Pace Univ.) and Angel Sanchez (Univ. Carlos III de Madrid).
Bio: Chryssis Georgiou is an Associate Professor in the Department of Computer Science at the University of Cyprus. He holds a Ph.D. (December 2003) and M.Sc. (May 2002) in Computer Science & Engineering from the University of Connecticut and a B.Sc. (June 1998) in Mathematics from the University of Cyprus. His research interests span the Theory and Practice of Fault-tolerant Distributed and Parallel Computing with a focus on Algorithms and Complexity. Specific topics includeDistributed Cooperation, Distributed Storage, Information Dissemination and Algorithmic Game Theory. He has published more than 70 articles in journals and conference proceedings in his area of study and he has authored two books on Robust Distributed Cooperative Computing. He served on several Program Committees of conferences in Distributed and Parallel Computing and on the Steering Committees of DISC and PODC. In 2015 he served as the General Chair of PODC 2015 and this year he is co-chairing the Self-Stabilization Track of SSS 2017.
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Robotics for Children:From Exploratory Studies to Practical Applications
University of Tsukuba
Abstract : Robotics for Children: From Exploratory Studies to Practical Applications. The talk will start from the early studies of Sony's entertainment robots in 2000s, a three-year exploratory field study conducted in a nursery school in University of California (2004-2007), and then some recent topics in educational robotics including a commercial application released from SoftBank (2014).
Bio: Dr. Fumihide Tanaka received a Ph.D. from Tokyo Institute of Technology in 2003. His dissertation was about multitask (lifelong) reinforcement learning. Then, he joined Sony Corporation as a research engineer for entertainment robots, AIBO/QRIO. In 2004, he started a collaborative research project with the Machine Perception Laboratory in the University of California, San Diego where he and his colleagues conducted a long-term field study of robots interacting with young children in a nursery school. Since then he has been actively working in the area of educational robots and child-robot interaction, and now is recognized as one of the pioneers in this research area. He moved to academia in 2008, the University of Tokyo (ISI Lab directed by Prof. Yasuo Kuniyoshi, -2014), and the University of Tsukuba (current).Date: 2016-Nov-07 Time: 11:30:00 Room: IST TAGUSPARK room 0.65 Ground floor
From Birthing the Apocalypse to BIG FAT FAIL: (Net) Art as Software Research
Benjamin Grosser, INESC-ID
Abstract : How are numbers on Facebook changing what we "like" and who we "friend?" Why does a bit of nonsense sent via email scare both your mom and the NSA? What makes someone mad when they learn Google can't see where they stand? From net art to robotics to supercuts to e-lit, Ben Grosser constructs interactive experiences, machines, and systems that investigate the cultural, social, and political effects of software.
Bio: Ben Grosser
School of Art + Design National Center for Supercomputing Applications (NCSA) University of Illinois at Urbana-Champaign, USA
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A Secure Data Sharing and Query Processing Framework via Federation of Cloud Computing
Prof. Sanjay K Madria
Missouri University of Science and Technology
Abstract : Due to cost-efficiency and less hands-on management, data owners are outsourcing their data to the cloud, which can provide access to the data as a service. However, by outsourcing their data, the data owners lose control and privacy, as the cloud provider becomes a third party service provider. At first, encrypting the data by the owner and then exporting it to the cloud seems to be a good approach to preserve the privacy. However, there is a potential efficiency problem with the outsourced encrypted data when the data owner revokes some of the users’ access privileges. An existing solution to this problem is based on symmetric key encryption scheme but it is not secure when a revoked user rejoins the system with different access privileges for the same data record. In this talk, I will discuss an efficient and Secure Data Sharing (SDS) framework using a homomorphic encryption and proxy re-encryption scheme that prevents the leakage of unauthorized data when a revoked user rejoins the system. I will also discuss modification to the underlying SDS framework and present a new solution based on the data distribution technique to prevent the information leakage in the case of collusion between a revoked user and the cloud service provider. A comparison of the proposed solution with existing methods is provided in detail. Furthermore, I will demonstrate how the existing work can be utilized in the proposed framework to support secure query processing. I will provide a detailed experimental analysis of the proposed framework on Amazon EC2 and discuss its practical relevance.
Bio: Sanjay Kumar Madria received his Ph.D. in Computer Science from Indian Institute of Technology, Delhi, India in 1995. He is a full professor in the Department of Computer Science at the Missouri University of Science and Technology (formerly, University of Missouri-Rolla, USA). He has published over 225 Journal and conference papers in the areas of mobile data management, XML Data Management, sensor computing, cloud and cyber security. He won five IEEE best papers awards including IEEE MDM 2011, IEEE MDM 2012 and IEEE SRDS 2015. He is the co-author of a book published by Springer in Nov 2003. He has served/serving in International conferences as a general co-chair, pc co-chair, and steering committee member (like for MDM, SRDS and others), and presented tutorials in the areas of mobile data management and sensor computing. He has also been awarded JSPS (Japanese Society for Promotion of Science) visiting scientist fellowship in 2006 and ASEE (American Society of Engineering Education) fellowship at AFRL from 2008 to 2016. In 2012, he was awarded NRC Fellowship by National Academies. He received faculty excellence and research awards in years 2007, 2009, 2011, 2013 and 2015 from his university for excellence in research, teaching and service. He served as an IEEE Distinguished Speaker, and currently, he is an ACM Distinguished Speaker and IEEE Senior Member as well as IEEE Golden Core Awardee.
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