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» Identifying Relations for Open Information Extraction
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EKAW
2008
Springer
13 years 9 months ago
Unsupervised Discovery of Compound Entities for Relationship Extraction
In this paper we investigate unsupervised population of a biomedical ontology via information extraction from biomedical literature. Relationships in text seldom connect simple ent...
Cartic Ramakrishnan, Pablo N. Mendes, Shaojun Wang...
LLC
2011
120views more  LLC 2011»
13 years 1 months ago
How Talker Identity Relates to Language Processing
Speech carries both linguistic content – phonemes, words, sentences – and talker information, sometimes called ‘indexical information’. While talker variability materially...
Sarah C. Creel, Micah R. Bregman
PODS
2010
ACM
250views Database» more  PODS 2010»
14 years 11 days 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
AAAI
2012
11 years 9 months ago
Modeling Textual Cohesion for Event Extraction
Event extraction systems typically locate the role fillers for an event by analyzing sentences in isolation and identifying each role filler independently of the others. We argu...
Ruihong Huang, Ellen Riloff
ELPUB
2006
ACM
14 years 1 months ago
Open Access in Sweden 2002-2005
The paper gives an overview of recent developments in Sweden concerning the communication and reception of the Open Access concept and the growth and co-ordination of digital acad...
Jan Hagerlid