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NLPRS
2001
Springer
15 years 2 months ago
Hierarchical Concept Description and Learning for Information Extraction
This paper addresses the problem of extracting information from textual documents, either normal documents or web pages. A new approach for extracting complicate information from ...
Luo Xiao, Dieter Wissmann, Michael Brown, Stefan J...
IAAI
2001
14 years 11 months ago
An Open Architecture for Multi-Domain Information Extraction
This paper presents a multi-domain information extraction system. The overall architecture of the system is detailed. A set of machine learning tools helps the expert to explore t...
Thierry Poibeau
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...
ACL
2007
14 years 11 months ago
Sparse Information Extraction: Unsupervised Language Models to the Rescue
Even in a massive corpus such as the Web, a substantial fraction of extractions appear infrequently. This paper shows how to assess the correctness of sparse extractions by utiliz...
Doug Downey, Stefan Schoenmackers, Oren Etzioni
EMNLP
2011
13 years 9 months ago
Identifying Relations for Open Information Extraction
Open Information Extraction (IE) is the task of extracting assertions from massive corpora without requiring a pre-specified vocabulary. This paper shows that the output of state...
Anthony Fader, Stephen Soderland, Oren Etzioni