Enhancing low resource keyword spotting with automatically retrieved web documents

A Personalized Reordering System of Searched Web Pages

The commercial engines retrieved the appropriate documents by user’s keyword. Therefore, they reduce user’s effort and time to find appropriate information. However, the web page list retrieved from the engines is still not enough for user effort free. It is because the search target for each user is usually different according to user profile. Thus, it is need to reorder web page list accordin...

A Survey on Various Word Spotting Techniques for Content Based Document Image Retrieval

Searching documents for information and retrieval of relevant documents is a basic activity. Various tools are readily available for searching and retrieval from digital documents, but not much robust methods are available for retrieval from historic documents and old manuscripts as they are not digitized but available in scanned formats. Conventional way of retrieval from scanned document imag...

Low Resource Keyword Spotting

Keyword spotting in unconstrained handwritten Chinese documents using contextual word model

a r t i c l e i n f o Keywords: Keyword spotting Chinese handwritten documents Word similarity Contextual word model This paper proposes a method for keyword spotting in off-line Chinese handwritten documents using a contextual word model, which measures the similarity between the query word and every candidate word in the document by combining a character classifier and the geometric context a...

Leveraging web resources for keyword assignment to short text documents

Assigning relevant keywords to documents is very important for efficient retrieval, clustering and management of the documents. Especially with the web cor-pus deluged with digital documents, automation of this task is of prime importance. Keyword assignment is a broad topic of research which refers to tagging of document with keywords, key-phrases or topics. For text documents, the keyword ass...