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Over the last years, many advances have been made in the field of Automatic Speech Recognition (ASR). However, the persistent presence of ASR errors is limiting the widespread adoption of speech technology in real life applications. This motivates the attempts to find alternative techniques to automatically detect and correct ASR errors, which can be very effective and especially when the user does...
In this paper the systems submitted by the joint team of Dublin City University and National Taiwan University to the IALP 2016 Shared Task: Dimensional Sentiment Analysis for Chinese Words are presented. The systems learn the vector representation using Word2Vec algorithm for each Chinese word for sentiment analysis. The corpus used for the calculation of vector representation is 5 years (2006 to...
This paper addresses the policy optimization of a dialogue management scheme based on partially observable Markov decision processes (POMDP), which is designed for out-of-domain (OOD) utterances processing in spoken dialogue system. First, POMDP-Based DM Modeling for OOD Utterances is proposed, together with detail of some principal elements. Then, joint state transition exploration and dialogue policy...
The main goal of this paper is to explain important terms of the word sense disambiguation (WSD) in the Slovak language. A comprehensive survey of current approaches and evaluation methodologies is provided. Special attention is given to necessary language resources and tools. The paper deals with problems specific to Slovak language: missing language resources, rich morphology, free word order and...
Traditional approaches to Named Entity Recognition almost heavily rely on feature engineering. In this paper, we introduce a kind of bidirectional recurrent neural network with long short memory (BLSTM) to capture bidirectional and long dependencies in a sentence without any feature set. Our model combines BLSTM network with Conditional Random Field (CRF) layer to jointly decode the best output. Additionally,...
Research abstract is a text of foremost importance to students of science and engineering. However, explicit teaching of it tends to be missing in EGP and EGAP curricula of general Japanese English education. This paper reports the evaluation of abstracts written by 3rd-year students in an undergraduate ESP course at a Japanese university of science and engineering. At first, students were taught...
Adaptation of the dataset shift has grown to be of great importance in machine learning problems in recent years. Reframing has emerged as a new machine learning technique that adapts the context changes between training and target domains. One of the advantages of reframing is that it can offer good performances with a limited amount of deployment data. Reframing has already been implemented in classification...
Blended learning is a modern approach in education that can totally reshape academic environment. Another trend in education is Massive Open Online Courses (MOOCs) from leading universities or companies, such as Microsoft, Google, Dell Technologies, etc. Also many vendors (hardware and software companies) made its training available for lay public for free through traditional e-learning systems or...
This paper presents a method named SoSVMRank, which integrates the social information of a Web document to generate a high-quality summarization. In order to do that, the summarization was formulated as a learning to rank task, in which the order of a sentence or comment was determined by its informative information. The informative information was measured by a set of local and social features in...
Predicting the gender of users in social media has aroused great interests in recent years. Almost all existing studies rely on the the content features extracted from the main texts like tweets or reviews. It is sometimes difficult to extract content information since many users do not write any posts at all. In this paper, we present a novel framework which uses only the users' ids and their social...
English has undoubtedly become the science and research lingua franca in the world in both oral and written communication. The capacity of English of scientists significantly affects the quality of research papers and presentations much more seriously than before. The global advancement of scientific research demands scientists to conduct oral presentations and write presentation slides by themselves...
We present a study on the effects of focus on object instance recognition (identifying instances of the same object or very similar object, for example a particular product) using Convolutional Neural Networks. The field of object detection is seen as an harder task than that of recognition, as the object must be localised as well as classified. In the field of face recognition, alignment is seen...
Internet and organizational network security is still threatened by devastating malicious activities. Given the continuous escalation of such attacks in terms of their frequency, sophistication and stealthiness, it is of paramount importance to generate effective cyber threat intelligence that aim at inferring, attributing, characterizing and mitigating such misdemeanors. Nevertheless, such imperative...
Performance assessment of human teaming in complex, real-world contexts is a fundamental challenge for research and training communities alike. We highlight a unique partnership between the cybersecurity training and research communities with the common goal of capturing human team performance. Whether in the context of a training assessment or a research endeavor; both are two sides of the same coin...
Nowadays, software developers often utilize existing third party libraries and make use of Application Programming Interface (API) to develop a software. However, it is not always obvious which library to use or whether the chosen library will play well with other libraries in the system. Furthermore, developers need to spend some time to understand the API to the point that they can freely use the...
The ethics and civic education of engineering students has been recognized as fundamental, however this training component is still very absent from the Portuguese engineering courses. Several concepts and perspectives may lead to include or exclude ethical education of the curriculum. Teachers are the main actors in the curriculum development process, and the students' voice and perspective in this...
As robots aspire for long-term autonomous operations in complex dynamic environments, the ability to reliably take mission-critical decisions in ambiguous situations becomes critical. This motivates the need to build systems that have situational awareness to assess how quali ed they are at that moment to make a decision. We call this self-evaluating capability as introspection. In this paper, we...
Some believe that today's young and tech-savvy generation will eagerly adopt the latest health tracking technologies. However, we know little about the tracking practices of young adults, and in particular how they use technologies to journal their daily fitness activities and diet. Drawing from practice theory, this study uses Savolainen's concept of information practice to examine the life contexts...
The development of reliable and robust visual recognition systems is a main challenge towards the deployment of autonomous robotic agents in unconstrained environments. Learning to recognize objects requires image representations that are discriminative to relevant information while being invariant to nuisances, such as scaling, rotations, light and background changes, and so forth. Deep Convolutional...
We propose a novel approach for multi-view object detection in 3D scenes reconstructed from RGB-D sensor. We utilize shape based representation using local shape context descriptors along with the voting strategy which is supported by unsupervised object proposals generated from 3D point cloud data. Our algorithm starts with a single-view object detection where object proposals generated in 3D space...
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