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» Unsupervised Relation Extraction From Web Documents
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CVPR
2011
IEEE
13 years 4 months ago
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
Ré, mi Emonet, Jagannadan Varadarajan, Jean-Marc ...
PODS
2010
ACM
250views Database» more  PODS 2010»
14 years 1 months ago
From information to knowledge: harvesting entities and relationships from web sources
There are major trends to advance the functionality of search engines to a more expressive semantic level. This is enabled by the advent of knowledge-sharing communities such as W...
Gerhard Weikum, Martin Theobald
SIGIR
2002
ACM
13 years 7 months ago
Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes
In this paper we present an evaluation of techniques that are designed to encourage web searchers to interact more with the results of a web search. Two specific techniques are ex...
Ryen White, Ian Ruthven, Joemon M. Jose
AIRS
2010
Springer
13 years 5 months ago
Event Recognition from News Webpages through Latent Ingredients Extraction
We investigate the novel problem of event recognition from news webpages. "Events" are basic text units containing news elements. We observe that a news article is always...
Rui Yan, Yu Li, Yan Zhang, Xiaoming Li
AAAI
2008
13 years 10 months ago
ADROIT: Automatic Discourse Relation Organizer of Internet-based Text
The ADROIT system that we are developing allows automatic discourse analysis of information rich natural language texts extracted directly from the web. We use guidelines and rela...
A. S. M. Mahbub Morshed, Mitsuru Ishizuka