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» Fine-Grained Class Label Markup of Search Queries
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WEBI
2009
Springer
14 years 6 days ago
From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns
Understanding query reformulation patterns is a key step towards next generation web search engines: it can help improving users’ web-search experience by predicting their inten...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, Se...
CIKM
2009
Springer
14 years 5 days ago
Improving web page classification by label-propagation over click graphs
In this paper, we present a semi-supervised learning method for web page classification, leveraging click logs to augment training data by propagating class labels to unlabeled si...
Soo-Min Kim, Patrick Pantel, Lei Duan, Scott Gaffn...
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 6 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li
SIGIR
2009
ACM
14 years 3 days ago
Web-derived resources for web information retrieval: from conceptual hierarchies to attribute hierarchies
A weakly-supervised extraction method identifies concepts within conceptual hierarchies, at the appropriate level of specificity (e.g., Bank vs. Institution), to which attribute...
Marius Pasca, Enrique Alfonseca
IJDLS
2010
108views more  IJDLS 2010»
13 years 2 months ago
Sampling the Web as Training Data for Text Classification
Data acquisition is a major concern in text classification. The excessive human efforts required by conventional methods to build up quality training collection might not always b...
Wei-Yen Day, Chun-Yi Chi, Ruey-Cheng Chen, Pu-Jen ...