Sciweavers

SIGIR
1999
ACM
14 years 28 days 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 28 days 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 28 days 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 28 days 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 28 days ago
Visual MeSH
Xia Lin
SIGIR
1999
ACM
14 years 28 days 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 28 days 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 28 days 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 28 days 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