Results 41 to 50 of about 803,882 (321)
Scientific and Technological Text Knowledge Extraction Method of based on Word Mixing and GRU [PDF]
arXiv, 2022 The knowledge extraction task is to extract triple relations (head entity-relation-tail entity) from unstructured text data. The existing knowledge extraction methods are divided into "pipeline" method and joint extraction method. The "pipeline" method is to separate named entity recognition and entity relationship extraction and use their own modules ...
arxiv
Scholarly Knowledge Extraction from Published Software Packages [PDF]
arXiv, 2022 A plethora of scientific software packages are published in repositories, e.g., Zenodo and figshare. These software packages are crucial for the reproducibility of published research. As an additional route to scholarly knowledge graph construction, we propose an approach for automated extraction of machine actionable (structured) scholarly knowledge ...
arxiv
LSTM Accelerator for Convolutional Object Identification
Algorithms, 2018 Deep Learning has dramatically advanced the state of the art in vision, speech and many other areas. Recently, numerous deep learning algorithms have been proposed to solve traditional artificial intelligence problems.
Alkiviadis Savvopoulos +3 more
doaj +1 more source
Preliminary Study on the Knowledge Graph Construction of Chinese Ancient History and Culture
Information, 2020 The domestic population has paid increasing attention to ancient Chinese history and culture with the continuous improvement of people’s living standards, the rapid economic growth, and the rapid advancement of information science and technology. The use
Shuang Liu +3 more
doaj +1 more source
Production Assessment Using a Knowledge Transfer Framework and Evidence Theory
IEEE Access, 2022 Operational knowledge is one of the most valuable assets in a company, as it provides a strategic advantage over competitors and ensures steady and optimal operation in machines.
Fernando Arevalo +3 more
doaj +1 more source
The dual nature of TDC – bridging dendritic and T cells in immunity
FEBS Letters, EarlyView.TDC are hematopoietic cells combining dendritic and T cell features. They reach secondary lymphoid organs (SLOs) and peripheral organs (liver and lungs) after FLT3‐dependent development in the bone marrow and maturation in the thymus. TDC are activated and enriched in SLOs upon viral infection, suggesting that they might play unique immune roles, since
Maria Nelli, Mirela Kuka
wiley +1 more source
Corrosion Rate Prediction with artificial Neural Network Case: Crude Oil Distillation Overhead Systems [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2006 This paper uses neural network to predict corrosion rate. Corrosion can not modeled easily, because of wide range of causes either known or unknown.
Mahmood Alborzi, Seyed Amir Reza Abtahi
doaj
Frontiers in Robotics and AI, 2018 Analysts and journalists face the problem of having to deal with very large, heterogeneous, and multilingual data volumes that need to be analyzed, understood, and aggregated.
Stefanos Vrochidis +16 more
doaj +1 more source
FoxO1 signaling in B cell malignancies and its therapeutic targeting
FEBS Letters, EarlyView.FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac +3 more
wiley +1 more source
Adjective Semantics in Open Knowledge Extraction
, 2016 Adjectives carry a lot of discourse semantics, often being the core elements to understand the literal, emotional, cultural, and metaphoric meaning of a sentence. Their formal semantics has been investigated specially in lexical semantics and formal linguistics, with some contributions from formal ontology and the semantic web.
Gangemi Aldo +3 more
openaire +2 more sources