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» Machine Learning for Information Extraction
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SIGIR
2009
ACM
15 years 4 months ago
A ranking approach to keyphrase extraction
This paper addresses the issue of automatically extracting keyphrases from document. Previously, this problem was formalized as classification and learning methods for classific...
Xin Jiang, Yunhua Hu, Hang Li
EMNLP
2009
14 years 7 months ago
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
Kedar Bellare, Andrew McCallum
LREC
2008
110views Education» more  LREC 2008»
14 years 11 months ago
Cost-Sensitive Learning in Answer Extraction
One problem of data-driven answer extraction in open-domain factoid question answering is that the class distribution of labeled training data is fairly imbalanced. This imbalance...
Michael Wiegand, Jochen L. Leidner, Dietrich Klako...
ADBIS
2003
Springer
127views Database» more  ADBIS 2003»
15 years 3 months ago
Using Common Schemas for Information Extraction from Heterogeneous Web Catalogs
The Web has become the world’s largest information source. Unfortunately, the main success factor of the Web, the inherent principle of distribution and autonomy of the participa...
Richard Vlach, Wassili Kazakos
ICML
2008
IEEE
15 years 10 months ago
Dirichlet component analysis: feature extraction for compositional data
We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, t...
Hua-Yan Wang, Qiang Yang, Hong Qin, Hongbin Zha