Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Vibhu Mittal"'
Publikováno v:
International Journal of Radiology & Radiation Therapy. 5
Focal eosinophilic infiltration is a rare disease entity that in patients with malignancies may mimic malignant hepatic nodules Eosinophilic hepatitis is associated with a variety of disorders such as parasitic infestations allergic conditions intern
Publikováno v:
Computational Intelligence. 16:586-595
This paper describes a machine learning approach to build an ecien t, accurate and fast name spotting system. Finding names in free text is an important task in addressing real-world textbased applications. Most previous approaches have been based on
Autor:
Cecile Paris, Vibhu Mittal
Publikováno v:
Expert Systems with Applications. 8:491-503
Explanations for expert systems are best provided in context, and, recently, many systems have used some notion of context in different ways in their explanation module. For example, some explanation systems take into account a user model. Others gen
Autor:
Vibhu Mittal, Adam Stepinski
Publikováno v:
SIGIR
Many online news/blog aggregators like Google, Yahoo and MSN allow users to browse/search many hundreds of news sources. This results in dozens, often hundreds, of stories about the same event. While the news aggregators cluster these stories, allowi
Publikováno v:
PRICAI 2004: Trends in Artificial Intelligence ISBN: 9783540228172
PRICAI
PRICAI
Search has arguably become the dominant paradigm for finding information on the World Wide Web. In order to build a successful search engine, there are a number of challenges that arise where techniques from artificial intelligence can be used to hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d54567b36938cab4a24376e09257810c
https://doi.org/10.1007/978-3-540-28633-2_3
https://doi.org/10.1007/978-3-540-28633-2_3
Autor:
Vibhu Mittal, Michael Witbrock
Publikováno v:
Language Modeling for Information Retrieval ISBN: 9789048162635
Although most text summarization research to date has been applied to news articles, web pages are quite different in both structure and content. Instead of coherent text with a well-defined discourse structure, they are mostly a bag of phrases, link
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ffc4908d6b963974b3a47bc270a3187
https://doi.org/10.1007/978-94-017-0171-6_10
https://doi.org/10.1007/978-94-017-0171-6_10
Publikováno v:
CIKM
This paper discusses passage extraction approaches to multidocument summarization that use available information about the document set as a whole and the relationships between the documents to build on single document summarization methodology. Mult
Publikováno v:
SIGIR
This paper investigates whether a machine can automatically learn the task of finding, within a large collection of candidate responses, the answers to questions. The learning process consists of inspecting a collection of answered questions and char
Publikováno v:
Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval.
Autor:
Vibhu Mittal, Adam L. Berger
Publikováno v:
SIGIR
We introduce OCELOT, a prototype system for automatically generating the “gist” of a web page by summarizing it. Although most text summarization research to date has focused on the task of news articles, web pages are quite different in both str