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ADL
2000
Springer
265views Digital Library» more  ADL 2000»
15 years 10 months ago
Clustering and Identifying Temporal Trends in Document Databases
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...
ADL
2000
Springer
305views Digital Library» more  ADL 2000»
15 years 10 months ago
Effects of Word Recognition Errors in Spoken Query Processing
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...
Fabio Crestani
ADL
2000
Springer
252views Digital Library» more  ADL 2000»
15 years 10 months ago
Audio Structuring and Personalized Retrieval Using Ontologies
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...
Latifur Khan, Dennis McLeod
ELPUB
1999
ACM
15 years 10 months ago
Classifying Technical Terms
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...
DL
1999
Springer
187views Digital Library» more  DL 1999»
15 years 10 months ago
KEA: Practical Automatic Keyphrase Extraction
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...