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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 10 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
SIGMOD
2010
ACM
211views Database» more  SIGMOD 2010»
15 years 2 months ago
Enterprise information extraction: recent developments and open challenges
Information extraction (IE) — the problem of extracting structured information from unstructured text — has become an increasingly important topic in recent years. A SIGMOD 20...
Laura Chiticariu, Yunyao Li, Sriram Raghavan, Fred...
CIARP
2004
Springer
15 years 3 months ago
Unsupervised Learning of Ontology-Linked Selectional Preferences
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
Hiram Calvo, Alexander F. Gelbukh
KCAP
2005
ACM
15 years 3 months ago
Extracting significant words from corpora for ontology extraction
This paper reports a technique for Knowledge Extraction using Natural Language Processing for the purposes of semi-automatic Ontology learning. Determination of significant words ...
Dileep G. Damle, Victoria S. Uren
65
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DAGM
2005
Springer
15 years 3 months ago
Network Snakes-Supported Extraction of Field Boundaries from Imagery
A fully automatic method to extract field boundaries from imagery is described in this paper. The fields are represented together with additional prior knowledge in the form of GIS...
Matthias Butenuth, Christian Heipke