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» A Method for Web Information Extraction
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SIGIR
2009
ACM
16 years 1 months ago
A comparison of retrieval-based hierarchical clustering approaches to person name disambiguation
This paper describes a simple clustering approach to person name disambiguation of retrieved documents. The methods are based on standard IR concepts and do not require any task-s...
Christof Monz, Wouter Weerkamp
WCRE
2008
IEEE
16 years 1 months ago
PREREQIR: Recovering Pre-Requirements via Cluster Analysis
High-level software artifacts, such as requirements, domain-specific requirements, and so on, are an important source of information that is often neglected during the reverse- an...
Jane Huffman Hayes, Giuliano Antoniol, Yann-Ga&eum...
CIKM
2008
Springer
15 years 8 months ago
Web-scale named entity recognition
Automatic recognition of named entities such as people, places, organizations, books, and movies across the entire web presents a number of challenges, both of scale and scope. Da...
Casey Whitelaw, Alexander Kehlenbeck, Nemanja Petr...
EMNLP
2009
15 years 4 months ago
Hypernym Discovery Based on Distributional Similarity and Hierarchical Structures
This paper presents a new method of developing a large-scale hyponymy relation database by combining Wikipedia and other Web documents. We attach new words to the hyponymy databas...
Ichiro Yamada, Kentaro Torisawa, Jun'ichi Kazama, ...
WWW
2008
ACM
16 years 7 months ago
Web video topic discovery and tracking via bipartite graph reinforcement model
Automatic topic discovery and tracking on web-shared videos can greatly benefit both web service providers and end users. Most of current solutions of topic detection and tracking...
Lu Liu, Lifeng Sun, Yong Rui, Yao Shi, Shiqiang Ya...