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» Querying Probabilistic Information Extraction
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PRL
2008
181views more  PRL 2008»
13 years 7 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
PODS
2007
ACM
196views Database» more  PODS 2007»
14 years 7 months ago
On the complexity of managing probabilistic XML data
In [3], we introduced a framework for querying and updating probabilistic information over unordered labeled trees, the probabilistic tree model. The data model is based on trees ...
Pierre Senellart, Serge Abiteboul
IROS
2006
IEEE
132views Robotics» more  IROS 2006»
14 years 1 months ago
Supervised Learning of Topological Maps using Semantic Information Extracted from Range Data
Abstract— This paper presents an approach to create topological maps from geometric maps obtained with a mobile robot in an indoor-environment using range data. Our approach util...
Óscar Martínez Mozos, Wolfram Burgar...
FQAS
2009
Springer
181views Database» more  FQAS 2009»
14 years 2 months ago
Interlingual Information Extraction as a Solution for Multilingual QA Systems
Information extraction systems have been dealt with at length from the viewpoint of users posing definite questions whose expected answer is to be found in a document collection. T...
Jesús Cardeñosa, Carolina Gallardo, ...
VLDB
1997
ACM
86views Database» more  VLDB 1997»
13 years 11 months ago
Using Probabilistic Information in Data Integration
The goal of a mediator system is to provide users a uniform interface to the multitude of information sources. To translate user queries, given in a mediated schema, to queries on...
Daniela Florescu, Daphne Koller, Alon Y. Levy