Semantic Parsing with Bayesian Tree Transducers

By Bevan K. Jones, Mark Johnson, Sharon Goldwater. 2012

55 citations recorded by the source corpus.

Subfields: Natural Language Processing, Information Extraction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Luke S. Zettlemoyer
2. Mohit Bansal
3. Percy Liang
4. Graham Neubig
5. Mirella Lapata
6. Phil Blunsom
7. Yejin Choi
8. Hannaneh Hajishirzi

In Information Extraction

1. Tom Kwiatkowski
2. Phil Blunsom
3. Luke S. Zettlemoyer
4. Eunsol Choi
5. Karl Moritz Hermann
6. Yoav Artzi
7. Benjamin Van Durme
8. Siva Reddy

Citations in the corpus

• Latent Predictor Networks for Code Generation (2016, background): “Recently proposed models focus on Combinatory Categorical Grammars (Kushman and Barzilay, 2013; Artzi et al., 2015), Bayesian Tree Transducers (Jones et al., 2012; Lei et al., 2013) and Probabilistic Context Free Grammars (Andreas et al., 2013).”
• Scaling Semantic Parsers with On-the-Fly Ontology Matching (2013, methodology): “Each derivation d = 〈Π,M〉 builds a logical form y using constants from the ontology O. Π is a CCG parse tree that maps x to an underspecified logical form l0.”
• Information Extraction over Structured Data: Question Answering with Freebase (2014, background): “, 2013), string kernels (Kate and Mooney, 2006; Chen and Mooney, 2011), and tree transducers (Jones et al., 2012).”