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EMNLP
2011
12 years 7 months ago
Random Walk Inference and Learning in A Large Scale Knowledge Base
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
Ni Lao, Tom M. Mitchell, William W. Cohen
PVLDB
2010
114views more  PVLDB 2010»
13 years 6 months ago
ObjectRunner: Lightweight, Targeted Extraction and Querying of Structured Web Data
We present in this paper ObjectRunner, a system for extracting, integrating and querying structured data from the Web. Our system harvests real-world items from template-based HTM...
Talel Abdessalem, Bogdan Cautis, Nora Derouiche
SEMWEB
2010
Springer
13 years 5 months ago
Enhancing the Open-Domain Classification of Named Entity Using Linked Open Data
Many applications make use of named entity classification. Machine learning is the preferred technique adopted for many named entity classification methods where the choice of feat...
Yuan Ni, Lei Zhang, Zhaoming Qiu, Chen Wang
ECML
2007
Springer
14 years 1 months ago
Discovering Word Meanings Based on Frequent Termsets
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
Henryk Rybinski, Marzena Kryszkiewicz, Grzegorz Pr...
WWW
2005
ACM
14 years 8 months ago
METEOR: metadata and instance extraction from object referral lists on the web
The Web has established itself as the largest public data repository ever available. Even though the vast majority of information on the Web is formatted to be easily readable by ...
Hasan Davulcu, Srinivas Vadrevu, Saravanakumar Nag...