نتایج جستجو برای: consuming task

تعداد نتایج: 337159  

Journal: :journal of teaching language skills 2014
zia - tajeddin rasoul hosseinpur

the necessity and importance of teaching pragmatics has come to light by many researchers (e.g. rose & kasper, 2001). due to the consensus over the need to teach pragmatic competence, the main issue now centers on the question of how we should teach this competence in the most effective way. consistent with this line of research, the present study aimed to investigate the effectiveness of d...

2014
Mikhail A. Farkov

The vast majority of problems faced by bioinformatics are very complex and time consuming. They require the use of modern high-performance computational systems and the development of algorithms for such system. Heterogeneous computing systems which include graphics processing unit (GPU) occupy a separate niche. Such systems allow to accelerate solving of some task significantly. The task perfo...

1998
Jay Budzik Kristian J. Hammond

It is a time consuming and diicult task for an individual , a group, or an organization to classify large collections of documents under a content-driven taxonomy. In this paper, we outline an approach for building a system which makes the classiication process the responsibility of the author of the document, thus allowing the author to explain classiications and verify (or correct) automated ...

2011
Maurizio Calo Caligaris

Hand-engineering task-specific features for single modalities (e.g. vision) is a difficult and time-consuming task. Furthermore, the challenge gets significantly more pronounced when the data comes from multiple sources (e.g. images and text). In this work, we seek to leverage freely available images on the web along with nearby text to create meaningful feature representations that capture bot...

2007
Florian Lautenbacher Bernhard Bauer

Efficient business processes are key to economic success. With the need to frequently adapt or restructure business processes and workflows in a dynamic market, agile processes and (semi-)automatic workflow and process composition would be useful. Currently, this is a manual and time-consuming task. Automating and optimizing this task is of high interest in research communities. Nevertheless, t...

2018
Chia-Hsuan Li Szu-Lin Wu Chi-Liang Liu Hung-yi Lee

Reading comprehension has been widely studied. One of the most representative reading comprehension tasks is Stanford Question Answering Dataset (SQuAD), on which machine is already comparable with human. On the other hand, accessing large collections of multimedia or spoken content is much more difficult and time-consuming than plain text content for humans. It’s therefore highly attractive to...

2008
Yuta Tsuboi Hisashi Kashima Shinsuke Mori Hiroki Oda Yuji Matsumoto

We address corpus building situations, where complete annotations to the whole corpus is time consuming and unrealistic. Thus, annotation is done only on crucial part of sentences, or contains unresolved label ambiguities. We propose a parameter estimation method for Conditional Random Fields (CRFs), which enables us to use such incomplete annotations. We show promising results of our method as...

2016
Miguel Angel Aguilar Rainer Leupers

The use of Multiprocessor Systems on Chip (MPSoCs) is a common practice in the design of state-of-the-art embedded devices, as they provide a good performance, energy and cost trade-off. However, MPSoC programming is still an error-prone and time consuming task that currently involves several manual steps. This task becomes even more challenging for heterogeneous architectures, where general pu...

Journal: :CoRR 2017
Arif Khan Ingmar Steiner Yusuke Sugano Andreas Bulling Ross MacDonald

Phonetic segmentation is the process of splitting speech into distinct phonetic units. Human experts routinely perform this task manually by analyzing auditory and visual cues using analysis software, which is an extremely time-consuming process. Methods exist for automatic segmentation, but these are not always accurate enough. In order to improve automatic segmentation, we need to model it as...

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