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» Large-scale extraction and use of knowledge from text
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RIDE
2003
IEEE
15 years 7 months ago
Exploiting multi-lingual text potentialities in EBMT systems
Translating documents from a source to a target language is a repetitive activity. The attempt to automate such a difficult task has been a long-term scientific dream. Among the...
Federica Mandreoli, Riccardo Martoglia, Paolo Tibe...
EACL
2003
ACL Anthology
15 years 3 months ago
Automatic Construction of Machine Translation Knowledge Using Translation Literalness
When machine translation (MT) knowledge is automatically constructed from bilingual corpora, redundant rules are acquired due to translation variety. These rules increase ambiguit...
Kenji Imamura, Eiichiro Sumita, Yuji Matsumoto
JAIR
2008
173views more  JAIR 2008»
15 years 1 months ago
Creating Relational Data from Unstructured and Ungrammatical Data Sources
In order for agents to act on behalf of users, they will have to retrieve and integrate vast amounts of textual data on the World Wide Web. However, much of the useful data on the...
Matthew Michelson, Craig A. Knoblock
SEMWEB
2010
Springer
14 years 12 months ago
Supporting Natural Language Processing with Background Knowledge: Coreference Resolution Case
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Volha Bryl, Claudio Giuliano, Luciano Serafini, Ka...
CIARP
2004
Springer
15 years 7 months ago
Unsupervised Learning of Ontology-Linked Selectional Preferences
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
Hiram Calvo, Alexander F. Gelbukh