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| Content Provider | ACM Digital Library |
|---|---|
| Author | Etzioni, Oren Banko, Michele |
| Abstract | The increasing availability of electronic text has made it possible to acquire information using a variety of techniques that leverage the expertise of both humans and machines. In particular, the field of Information Extraction (IE), in which knowledge is extracted automatically from text, has shown promise for large-scale knowledge acquisition. While IE systems can uncover assertions about individual entities with an increasing level of sophistication,alltext understanding -- the formation of a coherent theory from a textual corpus -- involves representation and learning abilities not currently achievable by today's IE systems. Compared to individual relational assertions outputted by IE systems, a theory includes coherent knowledge of abstract concepts and the relationships among them. We believe that the ability to fully discover the richness of knowledge present within large, unstructured and heterogeneous corpora will require a lifelong learning process in which earlier learned knowledge is used to guide subsequent learning. This paper introduces Alice, a lifelong learning agent whose goal is to automatically discovera collection of concepts, facts and generalizations that describe a particular topic of interest directly from a large volume of Web text. Building upon recent advances in unsupervised information extraction, we demonstrate that Alice can iteratively discover new concepts and compose general domain knowledge with a precision of 78%. |
| Starting Page | 95 |
| Ending Page | 102 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781595936431 |
| DOI | 10.1145/1298406.1298425 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2007-10-28 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Machine reading Lifelong learning |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
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| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
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| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
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