Dialog State Tracking: A Neural Reading Comprehension Approach

Dialog state tracking is used to estimate the current belief state of a dialog given all the preceding conversation. Machine reading comprehension, on the other hand, focuses on building systems that read passages of text and answer questions that require some understanding of passages. We formulate dialog state tracking as a reading comprehension task to answer the question $what\ is\ the\ state\ of\ the\ current\ dialog?$ after reading conversational context. In contrast to traditional state tracking methods where the dialog state is often predicted as a distribution over a closed set of all the possible slot values within an ontology, our method uses a simple attention-based neural network to point to the slot values within the conversation. Experiments on MultiWOZ-2.0 cross-domain dialog dataset show that our simple system can obtain similar accuracies compared to the previous more complex methods. By exploiting recent advances in contextual word embeddings, adding a model that explicitly tracks whether a slot value should be carried over to the next turn, and combining our method with a traditional joint state tracking method that relies on closed set vocabulary, we can obtain a joint-goal accuracy of $47.33\%$ on the standard test split, exceeding current state-of-the-art by $11.75\%$**.Comment: 10 pages, to appear in Special Interest Group on Discourse and Dialogue (SIGDIAL) 2019 (ORAL

Anti-inflammatory potential of ginseng for wound healing

© 2022 The Authors. Published by IntechOpen. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://www.intechopen.com/chapters/79331The recovery of skin wounds is a complex biological process involving three basic mechanisms: inflammatory phase, re-epithelialization followed by granulation and tissue remodeling. The interactions between inflammatory cells, fibroblasts, and keratinocytes induce microenvironmental changes at the wound site. Tissue remodeling is initiated by matrix-producing proteins and protease enzymes and collagen fibers in the dermis. A saponin extracted from ginseng, known as ginsenoside, has been shown to accelerate neovascularization in burn wounds in mice. It also increases levels of vascular endothelial growth factor and interleukin (IL-β). IL-β accelerate wound healing by promoting accumulation of macrophages at skin wound sites. Saponins are major active constituents of ginseng. They contain many ginsenosides. The purified ginsenosides or the extracts of ginseng root have been reported to have beneficial effects on damaged skin. For instance, red ginseng root extract protected skin from acute UVB-irradiation. Ginsenoside F1, an enzymatically modified derivative of the ginsenoside Rg1, protected HaCaT against UVB-induced apoptosis. Panax ginseng root extract promotes type I collagen synthesis in human dermal fibroblasts (HDF) via the Smad activation pathway and exhibits antioxidant activity against free radicles including diphenyl-p-picrylhydrazyl treatment. In addition, ginsenoside Rb1 promotes healing process of burn wound by enhancing angiogenesis. Among the various ginsenosides, ginsenoside Rb1 has been found to most potent agent for wound healing.Published onlin

High-Performance Computing for SKA Transient Search: Use of FPGA based Accelerators -- a brief review

This paper presents the High-Performance computing efforts with FPGA for the accelerated pulsar/transient search for the SKA. Case studies are presented from within SKA and pathfinder telescopes highlighting future opportunities. It reviews the scenario that has shifted from offline processing of the radio telescope data to digitizing several hundreds/thousands of antenna outputs over huge bandwidths, forming several 100s of beams, and processing the data in the SKA real-time pulsar search pipelines. A brief account of the different architectures of the accelerators, primarily the new generation Field Programmable Gate Array-based accelerators, showing their critical roles to achieve high-performance computing and in handling the enormous data volume problems of the SKA is presented here. It also presents the power-performance efficiency of this emerging technology and presents potential future scenarios.Comment: Accepted for JoAA, SKA Special issue on SKA (2022