Abstract Text generation is a key tool in natural language applications. Generating texts which could express rich ideas through several sentences needs structured representation of their content. Many works utilize graph-based methods for graph-to-text generation, like knowledge-graph-to-text generation. However, generating from knowledge graph still faces problems, such as repetitions and the...

While their increasing number is achieving some academic and public recognition, former carers occupy a liminal status, are often hidden, experience range of negative legacies related to caring. Existing research on limited in both quantity quality, caring tends be viewed as an end stage the overall trajectory. A theories concepts employed enrich wider field have potential extend understanding ...

This study aims to evaluation of knowledge management processes including knowledge generation & acquisition, saving & organizing, dissemination & sharing and application in the public sector especially in police through a case study based investigation and identifies factors affecting for improvement them. The evaluation was examined through 423 questionnaires provided by in different police u...

background: children are the most sensitive and vulnerable group in terms of tooth decay. any change or improvement in health-related knowledge and behavior in this group can have long-term and significant impacts on the health of the future generation. thus, the present study was conducted with the aim to determine the relationship of knowledge of oral health-related issues with the decayed, m...

Accurate knowledge point sequences and clear learning paths are the compass for learners to travel in sea of massive knowledge, they can out way improve their experience. Generating based on reasoning is conductive optimizing allocation educational resources improving quality higher education, this has a profound influence reform entire field. In view this, study explored generation recommendat...

The web has evolved and is evolving: both its purpose and the nature of its use are changing. Two significant aspects lie in its development from a static information area to a dynamic web of latent or potential knowledge, with a further shift into a corporate environment. This latency leaves us with the question of how can we access this web of knowledge and how can we manage this knowledge be...

Cocks [4] has recently described a protocol for two parties to generate an RSA modulus N = PQ where neither party has knowledge of the factorisation, but which enables the parties to collaborate to decipher a encrypted message. We describe a number of ways in which it is possible for one of the parties to the protocol to cheat and obtain knowledge of the factorisation, and suggest modifications...

Natural language generation (nlg) systems are computer software systems that produce texts in English and other human languages, often from non-linguistic input data. nlg systems, like most ai systems, need substantial amounts of knowledge. However, our experience in two nlg projects suggests that it is difficult to acquire correct knowledge for nlg systems; indeed, every knowledge acquisition ...