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» A probabilistic framework for relational clustering
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EMNLP
2011
13 years 11 months ago
Structured Relation Discovery using Generative Models
We explore unsupervised approaches to relation extraction between two named entities; for instance, the semantic bornIn relation between a person and location entity. Concretely, ...
Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew...
SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
15 years 1 months ago
Multi-way Clustering on Relation Graphs
A number of real-world domains such as social networks and e-commerce involve heterogeneous data that describes relations between multiple classes of entities. Understanding the n...
Arindam Banerjee, Sugato Basu, Srujana Merugu
NLE
2011
14 years 2 months ago
Modeling reciprocity in social interactions with probabilistic latent space models
Reciprocity is a pervasive concept that plays an important role in governing people’s behavior, judgments, and thus their social interactions. In this paper we present an analys...
Roxana Girju, Michael J. Paul
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
15 years 1 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
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ICDM
2005
IEEE
150views Data Mining» more  ICDM 2005»
15 years 5 months ago
Combining Multiple Clusterings by Soft Correspondence
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu