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» CUTER: An Efficient Useful Text Extraction Mechanism
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EMNLP
2010
13 years 4 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
RANLP
2003
13 years 8 months ago
Semantically driven approach for scenario recognition in the IE system FRET
This paper reports a research effort in scenario recognition task in information extraction. The presented approach uses partial semantic analysis based on logical form representa...
Svetla Boytcheva, Milena Yankova, Albena Strupchan...
JCDL
2003
ACM
119views Education» more  JCDL 2003»
14 years 18 days ago
Genescene: Biomedical Text And Data Mining
To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers wi...
Gondy Leroy, Hsinchun Chen, Jesse D. Martinez, Sha...
SAC
2005
ACM
14 years 28 days ago
Mining concept associations for knowledge discovery in large textual databases
In this paper, we describe a new approach for mining concept associations from large text collections. The concepts are short sequences of words that occur frequently together acr...
Xiaowei Xu, Mutlu Mete, Nurcan Yuruk
ICDE
2008
IEEE
127views Database» more  ICDE 2008»
14 years 8 months ago
Optimizing SQL Queries over Text Databases
Text documents often embed data that is structured in nature, and we can expose this structured data using information extraction technology. By processing a text database with inf...
Alpa Jain, AnHai Doan, Luis Gravano