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SIGIR
1999
ACM
14 years 3 months ago
Deriving Concept Hierarchies from Text
This paper presents a means of automatically deriving a hierarchical organization of concepts from a set of documents without use of training data or standard clustering technique...
Mark Sanderson, W. Bruce Croft
SIGIR
1999
ACM
14 years 3 months ago
Content-Based Retrieval Using Heuristic Search
The fast growth of multimedia information in image and video databases has triggered research on efficient retrieval methods. This paper deals with structural queries, a type of c...
Dimitris Papadias, Marios Mantzourogiannis, Panos ...
SIGIR
1999
ACM
14 years 3 months ago
A Hidden Markov Model Information Retrieval System
We present a new method for information retrievalusing hidden Markov models (HMMs). We develop a general framework for incorporating multiple word generation mechanisms within the...
David R. H. Miller, Tim Leek, Richard M. Schwartz
SIGIR
1999
ACM
14 years 3 months ago
Using a Belief Revision Operator for Document Ranking in Extended Boolean Models
This paper claims that Belief Revision can be seen as a theoretical framework for document ranking in Extended Boolean Models. For a model of Information Retrieval based on propos...
David E. Losada, Alvaro Barreiro
SIGIR
1999
ACM
14 years 3 months ago
Visual MeSH
Xia Lin
SIGIR
1999
ACM
14 years 3 months ago
Relevance Feedback Retrieval of Time Series Data
There has been much recent interest in retrieval of time series data. Earlier work has used a fixed similarity metric (e.g., Euclidean distance) to determine the similarity betwee...
Eamonn J. Keogh, Michael J. Pazzani
SIGIR
1999
ACM
14 years 3 months ago
Information Retrieval Based on Context Distance and Morphology
We present an approach to information retrieval based on context distance and morphology. Context distance is a measure we use to assess the closeness of word meanings. This conte...
Hongyan Jing, Evelyne Tzoukermann
SIGIR
1999
ACM
14 years 3 months ago
The Decomposition of Human-Written Summary Sentences
We define the problem of decomposing human-written summary sentences and propose a novel Hidden Markov Model solution to the problem. Human summarizers often rely on cutting and ...
Hongyan Jing, Kathleen McKeown
SIGIR
1999
ACM
14 years 3 months ago
Probabilistic Latent Semantic Indexing
Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of count data. Fit...
Thomas Hofmann