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The current state-of-the-art in many natural language processing and automated knowledge base completion tasks is held by representation learning methods which learn distributed vector representations of symbols via gradient-based optimization.
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Johan Bos and Katja Markert · 2005
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Luke S. Zettlemoyer and Michael Collins · 2005
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Johan Bos and Katja Markert · 2005
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The PASCAL recognising textual entailment challenge
Ido Dagan, Oren Glickman, and Bernardo Magnini · 2005
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Framewise phoneme classification with bidirectional LSTM and other neural network architectures
Alex Graves and Jürgen Schmidhuber · 2005
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Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars
Luke S. Zettlemoyer and Michael Collins · 2005
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Matthew Richardson and Pedro M. Domingos · 2006
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Rémi Coulom · 2006
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Matthew Richardson and Pedro M. Domingos · 2006
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Franz Baader, Bernhard Ganter, Baris Sertkaya, and Ulrike Sattler · 2007
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Rodrigo De Salvo Braz · 2007
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Ming-Wei Chang, Lev-Arie Ratinov, and Dan Roth · 2007
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Stephen Clark and Stephen Pulman · 2007
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Saso Dzeroski · 2007
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Stanley Kok and Pedro M. Domingos · 2007
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Dependency-based construction of semantic space models
Sebastian Padó and Mirella Lapata · 2007
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Completing description logic knowledge bases using formal concept analysis
Franz Baader, Bernhard Ganter, Baris Sertkaya, and Ulrike Sattler · 2007
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Lifted First-order Probabilistic Inference
Rodrigo De Salvo Braz · 2007
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Guiding semi-supervision with constraint-driven learning
Ming-Wei Chang, Lev-Arie Ratinov, and Dan Roth · 2007
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Combining symbolic and distributional models of meaning
Stephen Clark and Stephen Pulman · 2007
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Saso Dzeroski · 2007
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Stanley Kok and Pedro M. Domingos · 2007
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Sebastian Padó and Mirella Lapata · 2007
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Freebase: a collaboratively created graph database for structuring human knowledge
Kurt D. Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor · 2008
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Generalized expectation criteria for semi-supervised learning of conditional random fields
Gideon S. Mann and Andrew McCallum · 2008
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The New York Times annotated corpus
Evan Sandhaus · 2008
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Scaling textual inference to the web
Stefan Schoenmackers, Oren Etzioni, and Daniel S. Weld · 2008
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Freebase: a collaboratively created graph database for structuring human knowledge
Kurt D. Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor · 2008
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Johan Bos · 2008
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Open information extraction from the web
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Generalized expectation criteria for semi-supervised learning of conditional random fields
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Introduction to information retrieval
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Vector-based models of semantic composition
Jeff Mitchell and Mirella Lapata · 2008
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The New York Times annotated corpus
Evan Sandhaus · 2008
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Scaling textual inference to the web
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Semi-supervised learning of dependency parsers using generalized expectation criteria
Gregory Druck, Gideon S. Mann, and Andrew McCallum · 2009
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BPR: bayesian personalized ranking from implicit feedback
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme · 2009
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Semi-supervised learning of dependency parsers using generalized expectation criteria
Gregory Druck, Gideon S. Mann, and Andrew McCallum · 2009
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BPR: bayesian personalized ranking from implicit feedback
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme · 2009
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Coupled semi-supervised learning for information extraction
Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., and Tom M. Mitchell · 2010
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Bob Coecke, Mehrnoosh Sadrzadeh, and Stephen Clark · 2010
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Posterior regularization for structured latent variable models
Kuzman Ganchev, João Graça, Jennifer Gillenwater, and Ben Taskar · 2010
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Artificial Intelligence - A Modern Approach (3. internat. ed.)
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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