Incremental Sigmoid Belief Networks for Grammar Learning

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Grammar as a Foreign Language (2014, background): “Titov & Henderson (2007) and Henderson & Titov (2010) introduced Incremental Sigmoid Belief Networks for syntactic parsing.”
Structured Generative Models of Natural Source Code (2014, methodology): “Log-bilinear parameterizations have been applied widely in language modeling, for n -gram models (Saul and Pereira, 1997; Mnih and Hinton, 2007; Mnih and Teh, 2012) and PCFG models (Charniak, 2000; Klein and Manning, 2002; Titov and Henderson, 2007; Henderson and Titov, 2010).”
Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning (2016, methodology): “Besides, we did not use the earlier ISBN parsing model (Titov and Henderson, 2007) due to its lack of scalability to large vocabulary.”
A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks (2016, methodology): “(2013) present a joint dependency parsing and semantic role labeling model with the Incremental Sigmoid Belief Networks (ISBN) (Henderson and Titov, 2010).”
Deep Temporal Sigmoid Belief Networks for Sequence Modeling (2015, background): “Similar ideas have also been considered in [25] and [26].”