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» Question Answering Using a Large NLP System
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DGO
2008
173views Education» more  DGO 2008»
14 years 11 months ago
The Deliberative E-Rulemaking project (DeER): improving federal agency rulemaking via natural language processing and citizen di
Many scholars believe that electronic rulemaking has great but largely untapped potential to expand the public's democratic input and improve federal agency regulatory rules....
Peter Muhlberger, Nick Webb, Jennifer Stromer-Gall...
TAL
2010
Springer
14 years 8 months ago
Clustering E-Mails for the Swedish Social Insurance Agency - What Part of the E-Mail Thread Gives the Best Quality?
We need to analyse a large number of e-mails sent by the citizens to the customer services department of a governmental organisation based in Sweden. To carry out this analysis we ...
Hercules Dalianis, Magnus Rosell, Eriks Sneiders
WISE
2002
Springer
15 years 3 months ago
Querying Web Data - The WebQA Approach
The common paradigm of searching and retrieving information on the Web is based on keyword-based search using one or more search engines, and then browsing through the large numbe...
Sunny K. S. Lam, M. Tamer Özsu
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
15 years 10 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
BTW
2007
Springer
136views Database» more  BTW 2007»
15 years 4 months ago
System P: Completeness-driven Query Answering in Peer Data Management Systems
Abstract: Peer data management systems (PDMS) are a highly dynamic, decentralized infrastructure for large-scale data integration. They consist of a dynamic set of autonomous peers...
Armin Roth, Felix Naumann