We describe a system for extracting mentions of terms such as company and product names, in a large and noisy corpus of documents, such as the World Wide Web. Since natural langua...
Einat Amitay, Rani Nelken, Wayne Niblack, Ron Siva...
The resource impoverished environment on mobile devices results in a poor experience for users browsing the World Wide Web. Proxy-based middleware that transform content on the fl...
Iqbal Mohomed, Adin Scannell, Nilton Bila, Jin Zha...
: We are approaching an era where research materials will be stored more and more as digital resources on the World Wide Web. This of course will enable easier access to online pub...
Muhammad Tanvir Afzal, Narayanan Kulathuramaiyer, ...
The World Wide Web (WWW) is rapidly becoming important for society as a medium for sharing data, information and services, and there is a growing interest in tools for understandi...
A wealth of knowledge is encoded in the form of tables on the World Wide Web. We propose a classification algorithm and a rich feature set for automatically recognizing layout tab...