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» Extracting Large-Scale Knowledge Bases from the Web
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CIKM
2008
Springer
15 years 8 months ago
Using structured text for large-scale attribute extraction
We propose a weakly-supervised approach for extracting class attributes from structured text available within Web documents. The overall precision of the extracted attributes is a...
Sujith Ravi, Marius Pasca
WWW
2008
ACM
16 years 7 months ago
Asymmetrical query recommendation method based on bipartite network resource allocation
This paper presents a new query recommendation method that generates recommended query list by mining large-scale user logs. Starting from the user logs of click-through data, we ...
Zhiyuan Liu, Maosong Sun
ICDM
2008
IEEE
124views Data Mining» more  ICDM 2008»
16 years 23 days ago
Interactive Exploration of Model-Based Automatically Extracted Data
We present an interactive system to query, explore and navigate data according to a hierarchical knowledge model that had been automatically populated from unstructured textual da...
Anni Coden, Igor L. Sominsky, Michael A. Tanenblat...
ICDE
2007
IEEE
176views Database» more  ICDE 2007»
16 years 19 days ago
Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis
The wide availability of large scale databases requires more efficient and scalable tools for data understanding and knowledge discovery. In this paper, we present a method to ...
Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle, Da...
EMNLP
2009
15 years 4 months ago
Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge
In this paper, we address the task of crosslingual semantic relatedness. We introduce a method that relies on the information extracted from Wikipedia, by exploiting the interlang...
Samer Hassan, Rada Mihalcea