Signature files are one technique for indexing documents for full-text retrieval systems. This paper discusses two methods for generating text signatures – the word fragmentation and the pseudo-random generation techniques. The paper evaluates the effectiveness and efficiency of generating text signatures using these techniques. It also determines the optimal set of characteristics that define ...

Most multimedia retrieval services e.g. YouTube, Flickr, Google etc. rely on users searching using textual queries or examples. However, this solution is inadequate when there is no text, very little text, the text is in a foreign language or the user cannot form textual a query. In order to overcome these shortcomings we have developed an image retrieval system called COPE (COnversational Pict...

The ARPA TIPSTER project, which is the source of the data and funding for TREC, has involved four sites in the area of text retrieval and routing. The TIPSTER project (which includes MCC as a subcontractor), has focused on the following goals: Improving the eeectiveness of information retrieval techniques for large, full-text databases, Improving the eeectiveness of routing techniques appropria...

Most text retrieval systems are essentially based on bagof-words (BOW) text representations. Despite popularity of BOW, it ignores the internal semantic meanings of words since each word is treated as an atomic unit. Recently, distributed word and text representations become increasingly popular in NLP literatures. They embed syntactic and semantic information of words and texts into low-dimens...

This report reviews the present state of the art in selection of texts in one language based on queries in another a problem we refer to as multilingual text retrieval Present applications of multilingual text retrieval systems are limited by the cost and complexity of developing and using the multilingual thesauri on which they are based and by the level of user training that is required to ac...

We propose a method for ranking short information nuggets extracted from a text corpus, using another, reliable reference corpus as a user model. We argue that the availability and usage of such additional corpora is common in a number of IR tasks, and apply the method to answering a form of definition questions. The proposed ranking method makes a substantial improvement in the performance of ...