Fetching the paper…
Reading the bibliography…
Building a semantic parser quickly in a new domain is a fundamental challenge for conversational interfaces, as current semantic parsers require expensive supervision and lack the ability to generalize to new domains.
Learning to parse database queries using inductive logic programming
M. Zelle and R. J. Mooney. 1996 · 1996
Earlier work this paper cites.
Long short-term memory
S. Hochreiter and J. Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars
L. S. Zettlemoyer and M. Collins. 2005 · 2005
Earlier work this paper cites.
Driving semantic parsing from the world’s response
J. Clarke, D. Goldwasser, M. Chang, and D. Roth. 2010 · 2010
Earlier work this paper cites.
Lexical generalization in CCG grammar induction for semantic parsing
T. Kwiatkowski, L. Zettlemoyer, S. Goldwater, and M. Steedman. 2011 · 2011
Earlier work this paper cites.
Learning dependency-based compositional semantics
P. Liang, M. I. Jordan, and D. Klein. 2011 · 2011
Earlier work this paper cites.
Weakly supervised learning of semantic parsers for mapping instructions to actions
Y. Artzi and L. Zettlemoyer. 2013 · 2013
Earlier work this paper cites.
A simple, fast, and effective reparameterization of ibm model 2
Chris Dyer, Victor Chahuneau, and Noah A. Smith. 2013 · 2013
Earlier work this paper cites.
Scaling semantic parsers with on-the-fly ontology matching
T. Kwiatkowski, E. Choi, Y. Artzi, and L. Zettlemoyer. 2013 · 2013
Earlier work this paper cites.
Lambda dependency-based compositional semantics
P. Liang. 2013 · 2013
Earlier work this paper cites.
Semantic parsing via paraphrasing
J. Berant and P. Liang. 2014 · 2014
Earlier work this paper cites.
The stanford coreNLP natural language processing toolkit
C. D. Manning, M. Surdeanu, J. Bauer, J. Finkel, S. J. Bethard, and D. McClosky. 2014 · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
J. Pennington, R. Socher, and C. D. Manning. 2014 · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
I. Sutskever, O. Vinyals, and Q. V. Le. 2014 · 2014
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio. 2015 · 2015
Cited alongside, same era.
Imitation learning of agenda-based semantic parsers
J. Berant and P. Liang. 2015 · 2015
Cited alongside, same era.
Scalable semantic parsing with partial ontologies
Eunsol Choi, Tom Kwiatkowski, and Luke Zettlemoyer. 2015 · 2015
Cited alongside, same era.
Zero-shot semantic parser for spoken language understanding
Emmanuel Ferreira, Bassam Jabaian, and Fabrice Lefèvre. 2015 · 2015
Cited alongside, same era.
Automated template generation for question answering over knowledge graphs
Abdalghani Abujabal, Mohamed Yahya, Mirek Riedewald, and Gerhard Weikum. 2017 · 2017
Later among the works it cites.
Towards zero shot frame semantic parsing for domain scaling
Ankur Bapna, Gokhan Tur, Dilek Hakkani-Tur, and Larry Heck. 2017 · 2017
Later among the works it cites.
Transfer learning for neural semantic parsing
Xing Fan, Emilio Monti, Lambert Mathias, and Markus Dreyer. 2017 · 2017
Later among the works it cites.
Open-vocabulary semantic parsing with both distributional statistics and formal knowledge
Matt Gardner and Jayant Krishnamurthy. 2017 · 2017
Later among the works it cites.
Neural semantic parsing over multiple knowledge-bases
Jonathan Herzig and Jonathan Berant. 2017 · 2017
Later among the works it cites.
Learning a neural semantic parser from user feedback
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, and Luke Zettlemoyer. 2017 · 2017
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Learning a compositional semantics for freebase with an open predicate vocabulary
Jayant Krishnamurthy and Tom M Mitchell. 2015 · 2015
Cited alongside, same era.
Effective approaches to attention-based neural machine translation
M. Luong, H. Pham, and C. D. Manning. 2015 · 2015
Cited alongside, same era.
Building a semantic parser overnight
Y. Wang, J. Berant, and P. Liang. 2015 · 2015
Cited alongside, same era.
Language to logical form with neural attention
L. Dong and M. Lapata. 2016 · 2016
Cited alongside, same era.
Data recombination for neural semantic parsing
R. Jia and P. Liang. 2016 · 2016
Cited alongside, same era.
Transforming dependency structures to logical forms for semantic parsing
Siva Reddy, Oscar Täckström, Michael Collins, Tom Kwiatkowski, Dipanjan Das, Mark Steedman, and Mirella Lapata. 2016 · 2016
Cited alongside, same era.
Later among the works it cites.
Brenden M Lake and Marco Baroni. 2017 · 2017
Later among the works it cites.
Cross-domain semantic parsing via paraphrasing
Yu Su and Xifeng Yan. 2017 · 2017
Later among the works it cites.
Coarse-to-fine decoding for neural semantic parsing
Li Dong and Mirella Lapata. 2018 · 2018
Closest in time.
Weakly supervised semantic parsing with abstract examples
Omer Goldman, Veronica Latcinnik, Ehud Nave, Amir Globerson, and Jonathan Berant. 2018 · 2018
Closest in time.
Polyglot semantic parsing in apis
Kyle Richardson, Jonathan Berant, and Jonas Kuhn. 2018 · 2018
Closest in time.