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» Learning Language Semantics from Ambiguous Supervision
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SEMWEB
2007
Springer
15 years 3 months ago
From Web Directories to Ontologies: Natural Language Processing Challenges
Hierarchical classifications are used pervasively by humans as a means to organize their data and knowledge about the world. One of their main advantages is that natural language ...
Ilya Zaihrayeu, Lei Sun, Fausto Giunchiglia, Wei P...
74
Voted
MM
2004
ACM
122views Multimedia» more  MM 2004»
15 years 3 months ago
Context for semantic metadata
This article argues for the growing importance of quality metadata and the equation of that quality with precision and semantic grounding. Such semantic grounding requires metadat...
Kenneth B. Haase
COGSCI
2010
125views more  COGSCI 2010»
14 years 9 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson
ICML
2008
IEEE
15 years 10 months ago
A unified architecture for natural language processing: deep neural networks with multitask learning
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
Ronan Collobert, Jason Weston
80
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EACL
2006
ACL Anthology
14 years 11 months ago
Weakly Supervised Approaches for Ontology Population
We present a weakly supervised approach to automatic Ontology Population from text and compare it with other two unsupervised approaches. In our experiments we populate a part of ...
Hristo Tanev, Bernardo Magnini