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» Using Information Extraction to Improve Document Retrieval
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SIGIR
2011
ACM
14 years 9 months ago
No free lunch: brute force vs. locality-sensitive hashing for cross-lingual pairwise similarity
This work explores the problem of cross-lingual pairwise similarity, where the task is to extract similar pairs of documents across two different languages. Solutions to this pro...
Ferhan Ture, Tamer Elsayed, Jimmy J. Lin
ACMICEC
2006
ACM
141views ECommerce» more  ACMICEC 2006»
16 years 6 days ago
From HTML documents to web tables and rules
We present a browser-extending Semantic Web extraction system that maps HTML documents to tables and, where possible, to rules. First, the basic data extractor ViPER distills and ...
Kai Simon, Georg Lausen, Harold Boley
IDA
2010
Springer
15 years 3 months ago
Extraction of unexpected sentences: A sentiment classification assessed approach
Sentiment classification in text documents is an active data mining research topic in opinion retrieval and analysis. Different from previous studies concentrating on the developm...
Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet, ...
146
Voted
EXPERT
2002
79views more  EXPERT 2002»
15 years 6 months ago
Information Retrieval Meets Gene Analysis
of thousands) of PubMed abstracts covering literature relevant to the domain of interest. For instance, This method uses the scientific literature to establish functional relations...
Hagit Shatkay, Stephen Edwards, Mark Boguski
ESWS
2008
Springer
15 years 8 months ago
Combining Fact and Document Retrieval with Spreading Activation for Semantic Desktop Search
Abstract. The Semantic Desktop is a means to support users in Personal Information Management (PIM). It provides an excellent test bed for Semantic Web technology: resources (e. g....
Kinga Schumacher, Michael Sintek, Leo Sauermann