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» Entity Resolution with Markov Logic
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PVLDB
2010
129views more  PVLDB 2010»
13 years 3 months ago
Entity Resolution with Evolving Rules
Entity resolution (ER) identifies database records that refer to the same real world entity. In practice, ER is not a one-time process, but is constantly improved as the data, sc...
Steven Whang, Hector Garcia-Molina
EMNLP
2008
13 years 6 months ago
Joint Unsupervised Coreference Resolution with Markov Logic
Machine learning approaches to coreference resolution are typically supervised, and require expensive labeled data. Some unsupervised approaches have been proposed (e.g., Haghighi...
Hoifung Poon, Pedro Domingos
AAAI
2006
13 years 6 months ago
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
Hoifung Poon, Pedro Domingos
AAAI
2007
13 years 7 months ago
Joint Inference in Information Extraction
The goal of information extraction is to extract database records from text or semi-structured sources. Traditionally, information extraction proceeds by first segmenting each ca...
Hoifung Poon, Pedro Domingos
NAACL
2007
13 years 6 months ago
Chinese Named Entity Recognition with Cascaded Hybrid Model
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of...
Xiaofeng Yu