We introduce a simple and efficient method for clustering and identifying temporal trends in hyper-linked document databases. Our method can scale to large datasets because it ex...
Alexandrin Popescul, Gary William Flake, Steve Law...
The effects of word recognition errors (WRE) in Spoken Document Retrieval have been well studied and well reported in recent Information Retrieval (IR) literature. Much less exper...
The goal of this work is to improve the accuracy (precision and recall) and communication effectiveness of a database system response to a user information request, by utilizing a...
Automating the process of term recognition and classiæcation is important for digital libraries. Automatic Term Recognition घATRङ has many applications in areas related to di...
Katerina T. Frantzi, Sophia Ananiadou, Jun-ichi Ts...
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea ident...
Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl...