GreekT5: A Series of Greek Sequence-to-Sequence Models for News Summarization

Text summarization (TS) is a natural language processing (NLP) subtask pertaining to the automatic formulation of a concise and coherent summary that covers the major concepts and topics from one or multiple documents. Recent advancements in deep learning have led to the development of abstractive summarization transformer-based models, which outperform classical approaches. In any case, research in this field focuses on high resource languages such as English, while the corresponding work for low resource languages is still underdeveloped. Taking the above into account, this paper proposes a series of novel TS models for Greek news articles. The proposed models were thoroughly evaluated on the same dataset against GreekBART, which is the state-of-the-art model in Greek abstractive news summarization. Our evaluation results reveal that most of the proposed models significantly outperform GreekBART on various evaluation metrics. We make our evaluation code public, aiming to increase the reproducibility of this work and facilitate future research in the field.Comment: 26 pages, 0 figure

Developing Interoperable Collaboration Services to Sustain Activities of Communities of Practice

Communities of Practice (CoPs) have attracted the interest of professionals and researchers as successful environments for enhancing, developing and improving practices through collaboration between their members. More and more, CoPs are choosing virtual environments and services to support their activities. However, recent research has underlined the lack of adequate scaffolding in terms of technical support and appropriate use of technology for communication and collaboration. The paper argues in favour of a collaborative design methodology for the development of services based on new technologies, open-source or open-source minded . Producing interoperable, evolutionary, flexible and truly collaborative services appears of major interest to sustain activities of distributed CoPs. The paper uses as a case study the description of collaboratively designed services addressing the needs of distributed CoPs within the European Project PALETTE. The example of PALETTE shows that in complex project situations, collaborative design sustained by Actor-Network Theory is a helpful framework to reach the goals of the project

41P. Practical Lessons Learned while Developing Web 2.0 Collaboration Services for Communities of Practice

Although a plethora of Web 2.0 applications exist today, there is little literature reporting on experiences, concrete recommendations or best practices when developing such applications. The scarcity of such records makes it difficult for developers to determine how best to support the practices of communities with the use of Web 2.0 technologies. In this paper, we report on eight practical lessons learned while developing Web 2.0 collaboration services for Communities of Practice in the framework of a three years long European research project on Technology Enhanced Learning. The main objective of this project was to investigate how Web 2.0 technologies could impact the communication and collaboration needs of Communities of Practice interacting online and, conversely, how new interaction needs could impact Web 2.0 technology. The above lessons are presented in a way that could aid people engaged in various phases of the development of Web-based collaboration support services

LESIM: A Novel Lexical Similarity Measure Technique for Multimedia Information Retrieval

Metadata-based similarity measurement is far from obsolete in our days, despite research’s focus on content and context. It allows for aggregating information from textual references, measuring similarity when content is not available, traditional keyword search in search engines, merging results in meta-search engines and many more research and industry interesting activities. Existing similarity measures do not take into consideration neither the unique nature of multimedia’s metadata nor the requirements of metadata-based information retrieval of multimedia. This work proposes a customised for the commonly available author-title multimedia metadata hybrid similarity measure that is shown through experimentation to be significantly more effective than baseline measures

The dicode workbench: A flexible framework for the integration of information and web services

Aiming to address requirements concerning integration of services in the context of ?big data?, this paper presents an innovative approach that (i) ensures a flexible, adaptable and scalable information and computation infrastructure, and (ii) exploits the competences of stakeholders and information workers to meaningfully confront information management issues such as information characterization, classification and interpretation, thus incorporating the underlying collective intelligence. Our approach pays much attention to the issues of usability and ease-of-use, not requiring any particular programming expertise from the end users. We report on a series of technical issues concerning the desired flexibility of the proposed integration framework and we provide related recommendations to developers of such solutions. Evaluation results are also discussed

CoPe_it! - Supporting collaboration, enhancing learning

CoPe_it! is an innovative web-based tool that complies with collaborative practices to provide members of communities with the appropriate means to manage individual and collective knowledge, and collaborate towards the solution of diverse issues. In this article, we demonstrate its applicability in tackling data-intensive collaboration settings, which are characterized by big volumes of complex and interrelated data obtained from diverse sources, and knowledge expressed by diverse participants. We focus on issues related to the representation of such settings and the proposed approach towards making it easier for participants to follow the evolution of a collaboration, comprehend it in its entirety, and meaningfully aggregate data in order to resolve the issue under consideration

On a meaningful integration of web services in data-intensive biomedical environments: The DICODE approach

This paper reports on an innovative approach that aims to reduce information management costs in data-intensive and cognitively-complex biomedical environments. Recognizing the importance of prominent high-performance computing paradigms and large data processing technologies as well as collaboration support systems to remedy data-intensive issues, it adopts a hybrid approach by building on the synergy of these technologies. The proposed approach provides innovative Web-based workbenches that integrate and orchestrate a set of interoperable services that reduce the data-intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and concentrate on creative activities

Grid of analysis supporting the participative design methodology

PALETTE deliverable - report number D.PAR.01This deliverable presents the participatory design methodology of the PALETTE project and some first results of the implementation of this process. Some principles of the Actor Network Theory and of the Agile Methodology are embedded in the different stages of this methodology whose twelve stages (described in details in the last section) will be the basis of the participative development of services and scenarios of use