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» Using Information Extraction to Improve Document Retrieval
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ACL
2006
15 years 8 months ago
Argumentative Feedback: A Linguistically-Motivated Term Expansion for Information Retrieval
We report on the development of a new automatic feedback model to improve information retrieval in digital libraries. Our hypothesis is that some particular sentences, selected ba...
Patrick Ruch, Imad Tbahriti, Julien Gobeill, Alan ...
EKAW
2008
Springer
15 years 8 months ago
Ontological Profiles in Enterprise Search
Ontology-driven search applications use ontological concepts either to index documents or to guide and understand the users. Since ontologies by nature are domain-dependent and app...
Geir Solskinnsbakk, Jon Atle Gulla
SAC
2010
ACM
16 years 1 months ago
Enhancing document structure analysis using visual analytics
During the last decade national archives, libraries, museums and companies started to make their records, books and files electronically available. In order to allow efficient ac...
Andreas Stoffel, David Spretke, Henrik Kinnemann, ...
HICSS
1999
IEEE
125views Biometrics» more  HICSS 1999»
15 years 11 months ago
ASHRAM: Active Summarization and Markup
Typically, searching for information in a document collection amounts to refining a query and then scanning a large number of documents to determine their relevance. Active Summar...
Mary S. Neff, James W. Cooper
IUI
2006
ACM
16 years 22 days ago
An intelligent discussion-bot for answering student queries in threaded discussions
This paper describes a discussion-bot that provides answers to students’ discussion board questions in an unobtrusive and humanlike way. Using information retrieval and natural ...
Donghui Feng, Erin Shaw, Jihie Kim, Eduard H. Hovy