Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Zhu, Dengya"'
Representation learning of knowledge graphs aims to embed entities and relations into low-dimensional vectors. Most existing works only consider the direct relations or paths between an entity pair. It is considered that such approaches disconnect th
Externí odkaz:
http://arxiv.org/abs/2210.11711
Relevance judgment of human assessors is inherently subjective and dynamic when evaluation datasets are created for Information Retrieval (IR) systems. However, a small group of experts' relevance judgment results are usually taken as ground truth to
Externí odkaz:
http://arxiv.org/abs/2208.04057
Autor:
Abu-Salih, Bilal, Alhabashneh, Mohammad, Zhu, Dengya, Awajan, Albara, Alshamaileh, Yazan, Al-Shboul, Bashar, Alshraideh, Mohammad
The development of emotion detection technology has emerged as a highly valuable possibility in the corporate sector due to the nearly limitless uses of this new discipline, particularly with the unceasing propagation of social data. In recent years,
Externí odkaz:
http://arxiv.org/abs/2207.10654
Question Answering (QA) systems over Knowledge Graphs (KGs) (KGQA) automatically answer natural language questions using triples contained in a KG. The key idea is to represent questions and entities of a KG as low-dimensional embeddings. Previous KG
Externí odkaz:
http://arxiv.org/abs/2203.13570
Due to the large volume of data and information generated by a multitude of social data sources, it is a huge challenge to manage and extract useful knowledge, especially given the different forms of data, streaming data and uncertainty and ambiguity
Externí odkaz:
http://arxiv.org/abs/2105.03239
The ever-increase in the quality and quantity of data generated from day-to-day businesses operations in conjunction with the continuously imported related social data have made the traditional statistical approaches inadequate to tackle such data fl
Externí odkaz:
http://arxiv.org/abs/2104.12591
The concept of social trust has attracted an attention of information processors/data scientists and information consumers / business firms. One of the main reasons for acquiring the value of SBD is to provide frameworks and methodologies using which
Externí odkaz:
http://arxiv.org/abs/2104.09190
Big data is no more "all just hype" but widely applied in nearly all aspects of our business, governments, and organizations with the technology stack of AI. Its influences are far beyond a simple technique innovation but involves all rears in the wo
Externí odkaz:
http://arxiv.org/abs/2104.08062
The emergence of online social media services has made a qualitative leap and brought profound changes to various aspects of human, cultural, intellectual, and social life. These significant Big data tributaries have further transformed the businesse
Externí odkaz:
http://arxiv.org/abs/2104.03904
Publikováno v:
Australasian Journal of Information Systems, 2020, Vol 24, Research Article, pp. 1-24
The explosion of information constrains the judgement of search terms associated with Knowledge-Based Web Ecosystem (KBWE), making the retrieval of relevant information and its knowledge management challenging. The existing information retrieval (IR)
Externí odkaz:
http://arxiv.org/abs/2012.05397