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» Entity categorization over large document collections
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DL
2000
Springer
162views Digital Library» more  DL 2000»
13 years 12 months ago
Snowball: extracting relations from large plain-text collections
Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
Eugene Agichtein, Luis Gravano
COLING
2000
13 years 9 months ago
Automatic Text Categorization by Unsupervised Learning
The goal of text categorization is to classify documents into a certain number of pre-defined categories. The previous works in this area have used a large number of labeled train...
Youngjoong Ko, Jungyun Seo
EMNLP
2010
13 years 5 months ago
Collective Cross-Document Relation Extraction Without Labelled Data
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
Limin Yao, Sebastian Riedel, Andrew McCallum
ISEC
2001
Springer
180views ECommerce» more  ISEC 2001»
14 years 4 hour ago
i-Cube: A Tool-Set for the Dynamic Extraction and Integration of Web Data Content
Over the past decade the Internet has evolved into the largest public community in the world. It provides a wealth of data content and services in almost every field of science, t...
Frankie Poon, Kostas Kontogiannis
CORR
2006
Springer
132views Education» more  CORR 2006»
13 years 7 months ago
Navigating multilingual news collections using automatically extracted information
We are presenting a text analysis tool set that allows analysts in various fields to sieve through large collections of multilingual news items quickly and to find information that...
Ralf Steinberger, Bruno Pouliquen, Camelia Ignat