Current approaches to script identification rely on hand-selected features and often require processing a significant part of the document to achieve reliable identification. We p...
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Document frequency is used in various applications in Information Retrieval and other related fields. An assumption frequently made is that the document frequency represents a lev...
Many documents are available to a computer only as images from paper. However, most natural language processing systems expect their input as character-coded text, which may be di...
We show the underpinnings of a method for summarizing documents: it ingests a document and automatically highlights a small set of sentences that are expected to cover the differ...