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EMNLP
2008
14 years 11 months ago
Learning with Probabilistic Features for Improved Pipeline Models
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
Razvan C. Bunescu
NAACL
2007
14 years 11 months ago
A Log-Linear Block Transliteration Model based on Bi-Stream HMMs
We propose a novel HMM-based framework to accurately transliterate unseen named entities. The framework leverages features in letteralignment and letter n-gram pairs learned from ...
Bing Zhao, Nguyen Bach, Ian R. Lane, Stephan Vogel
RIAO
2007
14 years 11 months ago
Extracting Useful Information from the Full Text of Fiction
In this paper, we describe some experiments in large-scale Information Extraction (IE) focusing on book texts. We investigate the scalability of IE techniques to full-sized books,...
Sharon Givon, Maria Milosavljevic
ACL
2006
14 years 11 months ago
Minority Vote: At-Least-N Voting Improves Recall for Extracting Relations
Several NLP tasks are characterized by asymmetric data where one class label NONE, signifying the absence of any structure (named entity, coreference, relation, etc.) dominates al...
Nanda Kambhatla
ACL
2006
14 years 11 months ago
On-Demand Information Extraction
At present, adapting an Information Extraction system to new topics is an expensive and slow process, requiring some knowledge engineering for each new topic. We propose a new par...
Satoshi Sekine