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Supervised Gradual Machine Learning for Aspect Category Detection

arXiv.org Artificial Intelligence

Aspect Category Detection (ACD) aims to identify implicit and explicit aspects in a given review sentence. The state-of-the-art approaches for ACD use Deep Neural Networks (DNNs) to address the problem as a multi-label classification task. However, learning category-specific representations heavily rely on the amount of labeled examples, which may not readily available in real-world scenarios. In this paper, we propose a novel approach to tackle the ACD task by combining DNNs with Gradual Machine Learning (GML) in a supervised setting. we aim to leverage the strength of DNN in semantic relation modeling, which can facilitate effective knowledge transfer between labeled and unlabeled instances during the gradual inference of GML. To achieve this, we first analyze the learned latent space of the DNN to model the relations, i.e., similar or opposite, between instances. We then represent these relations as binary features in a factor graph to efficiently convey knowledge. Finally, we conduct a comparative study of our proposed solution on real benchmark datasets and demonstrate that the GML approach, in collaboration with DNNs for feature extraction, consistently outperforms pure DNN solutions.


Your Brand Needs a Shopping Assistant Chatbot - Here's Why

#artificialintelligence

Shopping Assistant Chatbot: Chatbots are considered one of the best ways of communicating with your visitors and users. They are now being heavily used in all kinds of service-related industries, be it customer service, healthcare service, and even in financial institutions. Chatbots are very much capable of handling large flows of users without losing their accuracy. Chatbot has long been used to guide and help visitors of a site. Visitors don't have to look into various menus of the website to check for a certain item, they can directly ask about their query to a chatbot which will directly show that particular item in the chatbox or answer the FAQ if that's what they are looking for.


Let's see how much autonomous cars are expected on the road in 2025

#artificialintelligence

Encouraging many people into electrical conveyance is at the heart of the government's struggle to tackle climate change. Sales of every-electrical conveyance are up 70% on last year, leading to the thought that we have reached a turning point. But there are better causes to remain cagey. One of the UK's popular cars is the every-electrical Tesla Model 3. But its success doesn't alteration the information that just about 1.1% of new cars sold this year are electrical, and that the market for used electrical vehicles barely exists.


top-ways-that-will-reshape-supply-chain-and-logistics-in-2020

#artificialintelligence

It has been a historic decade for the global logistics industry. The market has become enormously throughout the years and there have been huge enhancements in logistics infrastructure worldwide; on account of digitization and noteworthy solutions in supply chain and logistics. Technological headways have fortified the capacities and working of each component of logistics, directly from bundling and marking to shipment, transportation and last-mile conveyance. Changes in shopper requests, the ascent of web based business and savage market rivalry have additionally empowered a fast transformation of the industry. The time of more intelligent and faster logistics has quite recently started.


top-ways-that-will-reshape-supply-chain-and-logistics-in-2020

#artificialintelligence

It has been a historic decade for the global logistics industry. The market has become enormously throughout the years and there have been huge enhancements in logistics infrastructure worldwide; on account of digitization and noteworthy solutions in supply chain and logistics. Technological headways have fortified the capacities and working of each component of logistics, directly from bundling and marking to shipment, transportation and last-mile conveyance. Changes in shopper requests, the ascent of web based business and savage market rivalry have additionally empowered a fast transformation of the industry. The time of more intelligent and faster logistics has quite recently started.


How Advance Machine Learning Can Improve Logistics?

#artificialintelligence

Machine study empowers patterns of the supply chain to be found through calculations that quickly decide the most basic factors in the accomplishment of the supply chain information. FREMONT, CA: Logistics activities work on muddled internet services, clients, middle people, agents, and depend on everybody to convey their administrations, services, and items now. As logistics proceeds with the digitization course, 3PL (third-party logistics providers) consider fusing AI to help with the mind-blowing challenge of observing and booking a whole supply network. AI and machine learning can help logistic organizations to distinguish timing and request patterns for suppliers. To gather orders and to convey them toward the finish of the production network, stores are regularly used to make the strategy an increasingly consistent and mid-point thing accumulation.


Island In The Sand, Chapter XXII

#artificialintelligence

Star Black walked the short distance back to the living room where her band was once more gathering. "The lower story is not a story at all," the house intoned. I must assume that the defective Ninety-One machine was referring to the extended unit set into the base of the canyon face. That would place it lower than the house, which is accurate, but it is a thousand meters down, connected only by a small express lift." "So, there's something at the bottom of the canyon and there's a way to get down to it," Jameson said, with no doubt from his tone that he was eager to find out more, and immediately go exploring. "That's correct and accurate," the house stated. "So, where's the lift and when can we go down?" "The lift is rising, but it's of an old variety and will take some time to reach the dwelling." "Rising?" Star said, her voice piercing in tone, stopping all activity in the room. "Why would it be rising?" "There were no humans in the vicinity, as loosely defined when you pointedly used the word'outside' in your question," the house shot back, it's tone almost one of faint or vague petulance. "How could anyone get in the lift and use it if they aren't an administrator?" she asked, realizing when she got the words out that the answer to that question was right there among them. So much was happening at once Star couldn't figure out what to do first. They had members of Sly's band, who had somehow gotten to the bottom of the canyon and were riding up to arrive at the dwelling at any moment, as a possible and vital life or death issue. "The nodes and the lifts do not require the code to be provided by an administrator," the house said. "Unlike accessing the main complex entity and myself, they only require a spoken or written code." "Give me the device," Jameson said across the room to True, "and you better pray that we don't find any more on you when there's time to search you." The boy slunk against the wall, standing with his back against the stone that extended out from the fireplace, which still exuded heat even though the flames were gone. He held out his open hand, palm up, with a small black electronic device laying upon it. The device had a short antenna sticking out of it. "I don't have anymore, that's the last one," he murmured in the silence, as everyone waited to see what was going to happen next. "I didn't know who was going to win," True said, his voice soft but faintly rebellious. "If Star won I knew it would be okay, but if Sly won then what was I to do, die with everyone else?" Jameson stepped quickly forward and swept the device off True's exposed palm. He threw it down and smashed it into bits with the butt of his rifle before anything could be said or other action taken. Once done, Jameson raised his rifle up to point at True. "We're out of time, Jameson," Star said loudly, demanding the boy's full attention. We've got to get to the top of the lift before it gets up here. Where are the lift doors, house?"