Showing 1-25 of 2,168 resultsfor "Index Terms":Group Questions
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A Video Question Answering framework for women’s safety in Metro Surveillance
2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT)
Year: 2024 | Conference Paper |
AI video analytics solutions have already proven effective at airports, bus stations, major thoroughfares, etc. In the context of the metro networks, these solutions are of great utility as they can holistically cover the entire network including metro trains, platforms, concourse areas, entry/exit points and even parking lots. However real-time crowd management in metro surveillance has rarely be...Show More
Context Free Frequently Asked Questions Detection Using Machine Learning Techniques
2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI)
Year: 2016 | Conference Paper |
FAQs are the lists of common questions and answers on particular topics. Today one can find them in almost all web sites on the internet and they can be a great tool to give information to the users. Questions in FAQs are usually identified by the site administrators on the basis of the questions that are asked by their users. While such questions can respond to required information about a servic...Show More
Surrounding Keyword-Aware Self-Attention Network for Visual Question Answering
2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP)
Year: 2024 | Conference Paper |
With the emergence of the Transformer architecture, self-attention networks have gained widespread attention as efficient and parallel mechanisms for capturing global information across various domains. However, traditional self-attention networks face challenges in accurately localizing key textual elements and allocating importance to individual words in complex multimodal Visual Question Answer...Show More
Question focus extraction and answer passage retrieval
2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)
Year: 2014 | Conference Paper |
Question Analysis is an important task in Question Answering Systems (QAS). It consists generally in identifying the semantic type of the question and extracting the main focus of the question. The goal is to better specify the required information by the question. In this context and as part of a framework aiming to implement an Arabic opinion QAS for political debates, this paper addresses the p...Show More
Inferring Emotions from Image Social Networks Using Group-Based Factor Graph Model
2018 IEEE International Conference on Multimedia and Expo (ICME)
Year: 2018 | Conference Paper |
Cited by: Papers (6)
Inferring emotions from image social networks is a hot research topic nowadays. For image social networks (Flickr, Instagram), there is an interesting phenomenon that people would like to establish or attend virtual groups and share images with different topics and emotions in different groups. Previous researches on inferring emotions usually focus on image content and user personalization, thus ...Show More
Learning Behavior of Men and Women in MOOC Discussion Forums – A Case Study
2020 IEEE Global Engineering Education Conference (EDUCON)
Year: 2020 | Conference Paper |
Cited by: Papers (5)
Recent sociotechnical innovations in online communication make user-content interaction, dynamic user-user interaction and user-generated content interesting for content analysis, but raise complex challenges of reliable and valid coding as well as content analytical interpretations. We approach these new issues by analyzing the asynchronous communication and discourses in an exemplary Massive Ope...Show More
The Selberg–Weil–Kobayashi Local Rigidity Theorem for Exponential Lie Groups
A local rigidity Theorem proved by Selberg and Weil for Riemannian symmetric spaces and generalized by T. Kobayashi for a non-Riemannian homogeneous space G/H, asserts that there are no continuous deformations of a cocompact discontinuous subgroup Γ for G/H in the setting of a linear noncompact semi-simple Lie group G except some few cases: G is not locally isomorphic to ${\mathrm SL}_2(\mathbb R)...Show More
Based on Improving Students' Self-Learning Ability Sports Physiology Multimedia Experimental Study
2011 International Conference on Computer and Management (CAMAN)
Year: 2011 | Conference Paper |
This paper adopts literature, mathematical statistics, experiment and the scale method, takes experimental research to the multimedia Sports Physiology teaching. The main results of the study demonstrate: multimedia technology brings colorful picture, interesting animation and a lot of advanced information, which makes Learning forms diversity and enrichment and arouse the students' novelty and in...Show More
Towards a situation-and-user-aware multi-modal motorized toilet system to assist older adults with disabilities: A user requirements study
T. Pilissy;A. Tóth;G. Fazekas;A. Sobják;R. Rosenthal;T. Lüftenegger;P. Panek;P. Mayer
2017 International Conference on Rehabilitation Robotics (ICORR)
Year: 2017 | Conference Paper |
Cited by: Papers (2)
In the recent decades state of the art technologies appeared in many areas to assist older adults with disabilities. However, one very essential activity of daily life, the toileting remained without any relevant development. The iToilet project of the European Union focuses on the development of an intelligent and motorized toilet system to enable independent toilet use for older adults with disa...Show More
Difficulty index of a question paper: A new perspective
Chinmayi Dixit;Gopalkrishna Joshi;Narasimha H Ayachit;Ashok Shettar
2012 IEEE International Conference on Engineering Education: Innovative Practices and Future Trends (AICERA)
Year: 2012 | Conference Paper |
Assessment of learning reflects the performance of an academic system. In reality, this performance is the cumulative impact of learning in each course of the program. Hence on completion of delivering a course in terms different components, it becomes important to understand the outcome produced, the knowledge and skills acquired by the students. One of the primary component of course assessment ...Show More
JRDB-Social: A Multifaceted Robotic Dataset for Understanding of Context and Dynamics of Human Interactions Within Social Groups
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2024 | Conference Paper |
Understanding human social behaviour is crucial in Computer vision and robotics. Micro-level observations like in-dividual actions fall short, necessitating a comprehensive approach that considers individual behaviour, intra-group dynamics, and social group levels for a thorough under-standing. To address dataset limitations, this paper intro-duces JRDB-Social, an extension of JRDB [2]. Designed t...Show More
Transformer Module Networks for Systematic Generalization in Visual Question Answering
Moyuru Yamada;Vanessa D’Amario;Kentaro Takemoto;Xavier Boix;Tomotake Sasaki
Transformers achieve great performance on Visual Question Answering (VQA). However, their systematic generalization capabilities, i.e., handling novel combinations of known concepts, is unclear. We reveal that Neural Module Networks (NMNs), i.e., question-specific compositions of modules that tackle a sub-task, achieve better or similar systematic generalization performance than the conventional T...Show More
Questions about questions: Investigating how knowledge workers ask and answer questions
Paradoxically, although question asking is a fundamental human activity, we frequently ask and answer questions without considering the processes we use. This paper describes two studies that ask “questions about questions,” in order to improve understanding of the often implicit processes involved in the asking and answering of questions, and to inform the design of social tools to aid knowledge ...Show More
This standard adopts MPAI Technical Specification Version 1.2 as an IEEE Standard. Multimodal Conversation (MPAI-MMC) is an MPAI Standard comprising five use cases, all sharing the use of artificial intelligence (AI) to enable a form of human-machine conversation in completeness and intensity.Show More
Mental health disorders significantly impact people globally, regardless of background, education, or socioeconomic status. However, access to adequate care remains a challenge, particularly for underserved communities with limited resources. Text mining tools offer immense potential to support mental healthcare by assisting professionals in diagnosing and treating patients. This study addresses t...Show More
Utilizing non-QA data to improve questions routing for users with low QA activity in CQA
2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
Year: 2015 | Conference Paper |
Cited by: Papers (4)
Community Question Answering (CQA) systems, such as Yahoo! Answers and Stack Overflow, represent a well-known example of collective intelligence. The existing CQA systems, despite their overall successfulness and popularity, fail to answer a significant amount of questions in required time. One option for scaffolding collaboration in CQA systems is a recommendation of new questions to users who ar...Show More
Innovative Methods of Conducting University Classes Aimed at Developing Communicative Skills (Using the Example of a Focus Group)
2023 International Conference on Engineering Management of Communication and Technology (EMCTECH)
Year: 2023 | Conference Paper |
This article discusses innovative teaching methods in educational activities with a focus on the necessity of applying interactive approaches to enhance the quality of language-related disciplines. It is noted that the use of innovative technologies contributes to students' increased interest in speech culture by incorporating creative methods into the educational process, which fosters the develo...Show More
Adapting Electrical Engineering Assessment for Online Learning
2021 17th Conference on Electrical Machines, Drives and Power Systems (ELMA)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
For a quality education for students are important not only the teaching methods and technologies used, but also the methods used for assessing the knowledge of students. In this article we explore the use of multiple-choice test with closed-ended questions as an assessment method in online learning for subjects such as Electrical Engineering and Electronics - how and what questions to define to g...Show More
ITSAS: An approach towards adaptive student assessment
2011 IEEE 3rd International Conference on Communication Software and Networks
Year: 2011 | Conference Paper |
Cited by: Papers (4)
Traditional assessment model uses number of correct responses given by a student as a sole parameter to evaluate the performance of a student. In this paper we have suggested a new scheme to determine the difficulty of questions and an improved evaluation criterion which uses hardness of questions, several student's behavioral factors and attributes of a quiz. We have also proposed an adaptive ass...Show More
Context Modeling with Evidence Filter for Multiple Choice Question Answering
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Multiple-Choice Question Answering (MCQA) is one of the challenging tasks in machine reading comprehension. The main challenge in MCQA is to extract "evidence" from the given context that supports the correct answer. In OpenbookQA dataset [1], the requirement of extracting "evidence" is particularly important due to the mutual independence of sentences in the context. Existing work tackles this pr...Show More
The Production of English Question Intonation by Cantonese and Mandarin Speakers
2022 International Conference on Asian Language Processing (IALP)
Year: 2022 | Conference Paper |
This study investigates how Cantonese and Mandarin speakers use intonation to distinguish English declarative questions and statements as compared to the production by English native speakers. Results show that as English native speakers, EFL (English as a foreign language) learners vary pitch accent and boundary tone to distinguish English declarative questions and statements. However, speakers w...Show More
Syntactic Language Processing among Women - An EEG/ERP Study of Visual Pictorial Stimuli
Nurul Nazihah Zaidil;Tahamina Begum;Rozaida Abdul Rauf;Jong Hui Ying;Faruque Reza;Faraj Al-Marri
2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)
Year: 2018 | Conference Paper |
Language is one of the intelligent categories of cognitive function comprised grammar, syntax, formation, composition of phrases and sentences. Syntactic language processing with Wh-related questions are more complicated sentence pattern where difficulties might appear in specific groups to comprehend. However, we have investigated the neural correlates of syntactic Malay language processing among...Show More
Question matching based on Fuzzy set
2008 International Conference on Natural Language Processing and Knowledge Engineering
Year: 2008 | Conference Paper |
Sentence similarity computing plays an important role in the Question Answering (QA) System. Because there are many question expressions for one meaning, we present a new approach to match question based on Fuzzy set. In this paper, we establish a library of standard questions. Each standard question is relative with a series of Keywords. The main focus of this paper lies with matching of standard...Show More
A Question Summarization Method based-on Deep Learning in Persian Language
Arash Ghafouri;Iman Barati;Mohammad Hossein Elahimanesh;Hamid Hasanpour
2023 28th International Computer Conference, Computer Society of Iran (CSICC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
To properly answer a question, you must first understand the question. Users typically send more explanations than they need to answer in order to express their question in natural language, which increases the complexity of the question and provides useless side information, which leads to the production of false and unrelated answers and makes it difficult to answer the questions. In this paper,...Show More
KidReporter: a user requirements gathering technique for designing with children
Interacting with Computers
Cited by: Papers (1)
This paper describes a design method, novel to the domain of interaction design, for gathering user requirements from children called the KidReporter method. The KidReporter method was chosen and further refined based on assumptions about User-Centred Design. The method was considered to be suitable and appealing for children in terms of participating in design. Two school classes participated in ...Show More
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