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» Querying Probabilistic Information Extraction
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ICLP
2009
Springer
14 years 8 months ago
Using Histograms to Better Answer Queries to Probabilistic Logic Programs
Probabilistic logic programs (PLPs) define a set of probability distribution functions (PDFs) over the set of all Herbrand interpretations of the underlying logical language. When...
Matthias Broecheler, Gerardo I. Simari, V. S. Subr...
LREC
2008
172views Education» more  LREC 2008»
13 years 9 months ago
CallSurf: Automatic Transcription, Indexing and Structuration of Call Center Conversational Speech for Knowledge Extraction and
Being the client's first interface, call centres worldwide contain a huge amount of information of all kind under the form of conversational speech. If accessible, this infor...
Martine Garnier-Rizet, Gilles Adda, Frederik Caill...
VLDB
2004
ACM
98views Database» more  VLDB 2004»
14 years 29 days ago
Top-k Query Evaluation with Probabilistic Guarantees
Top-k queries based on ranking elements of multidimensional datasets are a fundamental building block for many kinds of information discovery. The best known general-purpose algor...
Martin Theobald, Gerhard Weikum, Ralf Schenkel
ICDE
2008
IEEE
191views Database» more  ICDE 2008»
14 years 9 months ago
An Algebraic Approach to Rule-Based Information Extraction
Traditional approaches to rule-based information extraction (IE) have primarily been based on regular expression grammars. However, these grammar-based systems have difficulty scal...
Frederick Reiss, Sriram Raghavan, Rajasekar Krishn...
ACL
2007
13 years 9 months ago
System Demonstration of On-Demand Information Extraction
In this paper, we will describe ODIE, the On-Demand Information Extraction system. Given a user’s query, the system will produce tables of the salient information about the topi...
Satoshi Sekine, Akira Oda