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» Causal Relation Extraction
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ACISP
2003
Springer
15 years 2 months ago
Grouping Verifiable Content for Selective Disclosure
Abstract. This paper addresses the issue of selective disclosure of verifiable content. It extends previous work relating to Content Extraction Signatures [21] to implement a more ...
Laurence Bull, David McG. Squire, Jan Newmarch, Yu...
COLING
2010
14 years 6 months ago
A Linguistically Grounded Graph Model for Bilingual Lexicon Extraction
We present a new method, based on graph theory, for bilingual lexicon extraction without relying on resources with limited availability like parallel corpora. The graphs we use re...
Florian Laws, Lukas Michelbacher, Beate Dorow, Chr...
FUIN
2008
108views more  FUIN 2008»
14 years 9 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
ICASSP
2008
IEEE
15 years 5 months ago
Punctuating speech for information extraction
This paper studies the effect of automatic sentence boundary detection and comma prediction on entity and relation extraction in speech. We show that punctuating the machine gener...
Benoît Favre, Ralph Grishman, Dustin Hillard...
MASCOTS
2008
15 years 14 days ago
Evaluating the Effectiveness of Information Extraction in Real-World Storage Management
As storage deployments within enterprises continue to grow, there is an increasing need to simplify and automate. Existing tools for automation rely on extracting information in t...
Aameek Singh, Sandeep Uttamchandani, Yin Wang