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» Automatic Extraction of Hierarchical Relations from Text
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WWW
2007
ACM
14 years 9 months ago
Hierarchical, perceptron-like learning for ontology-based information extraction
Recent work on ontology-based Information Extraction (IE) has tried to make use of knowledge from the target ontology in order to improve semantic annotation results. However, ver...
Yaoyong Li, Kalina Bontcheva
NAACL
1994
13 years 10 months ago
(Almost) Automatic Semantic Feature Extraction from Technical Text
Acquisition of semantic information is necessary for proper understanding of natural language text. Such information is often domain-speclfic in nature and must be acquized from t...
Rajeev Agarwal
AAAI
2008
13 years 11 months ago
Automatic Extraction of Data Points and Text Blocks from 2-Dimensional Plots in Digital Documents
Two dimensional plots (2-D) in digital documents on the web are an important source of information that is largely under-utilized. In this paper, we outline how data and text can ...
Saurabh Kataria, William Browuer, Prasenjit Mitra,...
SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
12 years 11 months ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi
IJMI
2002
108views more  IJMI 2002»
13 years 8 months ago
Learning anchor verbs for biological interaction patterns from published text articles
: Much of knowledge modeling in the molecular biology domain involves interactions between proteins, genes, various forms of RNA, small molecules, etc. Interactions between these s...
Vasileios Hatzivassiloglou, Wubin Weng