Goto

Collaborating Authors

Results


Natural language processing for word sense disambiguation and information extraction

arXiv.org Artificial Intelligence

This research work deals with Natural Language Processing (NLP) and extraction of essential information in an explicit form. The most common among the information management strategies is Document Retrieval (DR) and Information Filtering. DR systems may work as combine harvesters, which bring back useful material from the vast fields of raw material. With large amount of potentially useful information in hand, an Information Extraction (IE) system can then transform the raw material by refining and reducing it to a germ of original text. A Document Retrieval system collects the relevant documents carrying the required information, from the repository of texts. An IE system then transforms them into information that is more readily digested and analyzed. It isolates relevant text fragments, extracts relevant information from the fragments, and then arranges together the targeted information in a coherent framework. The thesis presents a new approach for Word Sense Disambiguation using thesaurus. The illustrative examples supports the effectiveness of this approach for speedy and effective disambiguation. A Document Retrieval method, based on Fuzzy Logic has been described and its application is illustrated. A question-answering system describes the operation of information extraction from the retrieved text documents. The process of information extraction for answering a query is considerably simplified by using a Structured Description Language (SDL) which is based on cardinals of queries in the form of who, what, when, where and why. The thesis concludes with the presentation of a novel strategy based on Dempster-Shafer theory of evidential reasoning, for document retrieval and information extraction. This strategy permits relaxation of many limitations, which are inherent in Bayesian probabilistic approach.


The 2018 Survey: AI and the Future of Humans

#artificialintelligence

"Please think forward to the year 2030. Analysts expect that people will become even more dependent on networked artificial intelligence (AI) in complex digital systems. Some say we will continue on the historic arc of augmenting our lives with mostly positive results as we widely implement these networked tools. Some say our increasing dependence on these AI and related systems is likely to lead to widespread difficulties. Our question: By 2030, do you think it is most likely that advancing AI and related technology systems will enhance human capacities and empower them? That is, most of the time, will most people be better off than they are today? Or is it most likely that advancing AI and related technology systems will lessen human autonomy and agency to such an extent that most people will not be better off than the way things are today? Please explain why you chose the answer you did and sketch out a vision of how the human-machine/AI collaboration will function in 2030.


Why data, AI, and digital marketing are a priority for insurers - Tech Wire Asia

#artificialintelligence

INSURERS have seen many changes in recent years, including new competition, the emergence of insurtechs, and shifting consumer demands for new products and/or services. Digital is the most common top business priority for insurance CIOs in 2018 and 2019, according to Gartner's 2019 CIO Agenda for the insurance industry. For the first time, this has moved to the top of the list, outranking revenue and business growth in focus. "The industry continues to transform as companies begin to embrace more advanced stages of digital maturity," said Gartner Managing VP Juergen Weiss in an exclusive interview with Tech Wire Asia. This journey includes improving customer experiences, building out ecosystems, establishing enterprise intelligence through improved data and analytics, and adopting an open innovation platform that relies more on ecosystem partners.


AI and blockchain will change the way insurance is done in India: Samrat Das, CIO, PNB MetLife - ET CIO

#artificialintelligence

You'd expect the CIO of an insurance company to really hold forth on matters relating to IT. Samrat Das doesn't do that. Quite the contrary- he talks at length about emerging business models in insurance, digital imperatives and disruptive forces redefining insurance as we know it. Das belong to the growing breed of CIOs who have a yen for taking on a digital leadership within their organization. And he seems cut out for the role too. An old hand, Das managed the IT stewardship at Tata AIA Life Insurance and SBI Life Insurance.


ZhongAn turns to big data and AI to shape future of car insurance

#artificialintelligence

Big data and artificial intelligence are at the heart of a platform announced last week by ZhongAn Online Casualty and Property Insurance, China's first internet-only insurer.


Hard numbers: The mathematical architectures of Artificial Intelligence

#artificialintelligence

Pity the 34 staff of Fukoku Mutual Life Insurance in Japan, diligently calculating insurance payouts and brutally replaced by an AI system. If you believe the reports from January, the AI revolution is here. In my opinion, the goings-on in Japan cannot possibly qualify as AI, but, in order to explain why, I have to explain what I think AI means. In one way, this attempt will be doomed to failure because there is no unified definition of AI. But I can, hopefully, provide a framework of understanding about the topic that may help.


Hard numbers: The mathematical architectures of Artificial Intelligence

#artificialintelligence

Pity the 34 staff of Fukoku Mutual Life Insurance in Japan, diligently calculating insurance payouts and brutally replaced by an AI system. If you believe the reports from January, the AI revolution is here. In my opinion, the goings-on in Japan cannot possibly qualify as AI, but, in order to explain why, I have to explain what I think AI means. In one way, this attempt will be doomed to failure because there is no unified definition of AI. But I can, hopefully, provide a framework of understanding about the topic that may help.