Probabilistic SynSet Based Concept Location

Concept location is a common task in program comprehension techniques, essential in many approaches used for software care and software evolution. An important goal of this process is to discover a mapping between source code and human oriented concepts. Although programs are written in a strict and formal language, natural language terms and sentences like identifiers (variables or functions names), constant strings or comments, can still be found embedded in programs. Using terminology concepts and natural language processing techniques these terms can be exploited to discover clues about which real world concepts source code is addressing. This work extends symbol tables build by compilers with ontology driven constructs, extends synonym sets defined by linguistics, with automatically created Probabilistic SynSets from software domain parallel corpora. And using a relational algebra, creates semantic bridges between program elements and human oriented concepts, to enhance concept location tasks

Deep learning powered question-answering framework for organizations digital transformation

In the context of digital transformation by governments, the public sector and other organizations, many information is moving to digital platforms. Chatbots and similar question-answering systems are becoming popular to answer information queries, opposed to browsing online repositories or webpages. State-of-the-art approaches for these systems may be laborious to implement, hard to train and maintain, and also require a high level of expertise. This work explores the definition of a generic framework to systematically build question-answering systems. A sandbox implementation of this framework enables the deployment of turnkey systems, directly from already existing collections of documents. These systems can then be used to provide a question-answering system communication channel to enrich the organization digital presence.This work is financed by the ERDF - European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme and by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia, within project POCI-01-0145-FEDER-029946 (DaVinci)

WIKI::SCORE: a collaborative environment for music transcription and publishing

Music sources are most commonly shared in music scores scanned or printed on paper sheets. These artifacts are rich in information, but since they are images it is hard to re-use and share their content in todays’ digital world. There are modern languages that can be used to transcribe music sheets, this is still a time consuming task, because of the complexity involved in the process and the typical huge size of the original documents. WIKI::SCORE is a collaborative environment where several people work together to transcribe music sheets to a shared medium, using the notation. This eases the process of transcribing huge documents, and stores the document in a well known notation, that can be used later on to publish the whole content in several formats, such as a PDF document, images or audio files for example.(undefined

Defining a probabilistic translation dictionaries algebra

Probabilistic Translation Dictionaries are around for some time, but there is a lack of a formal definition for their structure and base operations. In this article we start by discussing what these resources are, what researchers are using them for, and what tools can be used to create this them. Including a formal definition and a proposal for a XML schema for dictionaries interchange. Follows a discussion of a set of useful operations that can be performed over probabilistic translation dictionaries, like union, intersection, domain restriction and compo- sition. Together with this algebra formalization some insights on the operations usefulness and application are presented.This work is partially supported by Per-Fide. The Per-Fide project is supported in part by a grant (Reference No. PTDC/CLEL-LI/108948/2008) from the Portuguese Foundation for Science and Technology and it is co-funded by the European Regional Development Fund

PLN.pt: Processamento de Linguagem Natural para Português como um Serviço

As técnicas da área de Processamento de Linguagem Natural (PLN) são cada vez mais utilizadas para enriquecer aplicações nas mais diversas áreas. As ferramentas que implementam ou apoiam o desenvolvimento destas técnicas podem ser complexas de manter e explorar, sendo por vezes necessário conhecimento específico do domínio. Este artigo introduz o projeto PLN.PT, uma plataforma online que disponibiliza um conjunto de ferramentas para PLN como um serviço web (REST API), orientado principalmente para a língua portuguesa

ANALISYS OF HALF-SQUAT MECHANICAL SPECIFICITY TO TRACK ANDFIELD THROWING TECHNIQUES

The aim of this study was to measure and compare the leg kinematics and kinetics of half-squats with a large spectrum of loads and three different track-and-field throwing actions (hammer, discus and javelin throws). One experienced thrower of each discipline was selected. Knee angular velocity, knee angle and vertical ground reaction force were measured for the half-squat and the throwing techniques. The results suggested that this method allows training loads to be selected for the half-squat that are more specific to the individualized performance of each leg

Administrative burden reduction over time: Literature review, trends and gap analysis

Burden reduction is a key issue in modern public administrations’ and businesses’ agendas. Compliance with mandatory regulations can have a direct impact on a country’s economic performance, growth, and development. Research in this area, contributes to a better understanding of the implications and context of administrative burden, and increases the efficiency of the strategies adopted to reduce it. The goal of this study is to undertake a review of the current state of the art on Administrative Burden Reduction (ABR), in order to gain a deeper insight about the subject, identify current gaps, and better plan for future research. A total of 122 papers were identified as relevant, out of a pool of 742 papers retrieved from the current literature. The relevant papers were analyzed across four dimensions: methodology, type and focus, and targeted stakeholders. Three key gaps were identified and discussed in relation to: citizen orientated services and burden reduction; empirical research and post-initiative re-evaluation; and, the role of stakeholders, interest groups and end-users in driving ABR. Lastly a conceptual framework model and next steps are proposed.“SmartEGOV: Harnessing EGOV for Smart Governance (Foundations, methods, Tools) / NORTE-01-0145-FEDER-000037”, supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (EFDR

PFTL: a systematic approach for describing filesystem tree processors

Today, most developers prefer to store information in databases. But plain filesystems were used for years, and are still used, to store information, commonly in files of heterogeneous formats that are organized in directory trees. This approach is a very flexible and natural way to create hierarchical organized structures of documents. We can devise a formal notation to describe a filesystem tree structure, similar to a grammar, assuming that filenames can be considered terminal symbols, and directory names non-terminal symbols. This specification would allow to derive correct language sentences (combination of terminal symbols) and to associate semantic actions, that can produce arbitrary side effects, to each valid sentence, just as we do in common parser generation tools. These specifications can be used to systematically process files in directory trees, and the final result depends on the semantic actions associated with each production rule. In this paper we revamped an old idea of using a domain specific language to implement these specifications similar to context free grammars. And introduce some examples of applications that can be built using this approach

PFTL: a systematic approach for describing filesystem tree processors

Today, most developers prefer to store information in databases. But plain filesystems were used for years, and are still used, to store information, commonly in files of heterogeneous formats that are organized in directory trees. This approach is a very flexible and natural way to create hierarchical organized structures of documents. We can devise a formal notation to describe a filesystem tree structure, similar to a grammar, assuming that filenames can be considered terminal symbols, and directory names non-terminal symbols. This specification would allow to derive correct language sentences (combination of terminal symbols) and to associate semantic actions, that can produce arbitrary side effects, to each valid sentence, just as we do in common parser generation tools. These specifications can be used to systematically process files in directory trees, and the final result depends on the semantic actions associated with each production rule. In this paper we revamped an old idea of using a domain specific language to implement these specifications similar to context free grammars. And introduce some examples of applications that can be built using this approach