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Semantic parsing is the task of producing a structured meaning representation for natural language utterances or questions.
The compositionality of neural networks: integrating symbolism and connectionism
Dieuwke Hupkes, Verna Dankers, Mathijs Mul, and Elia Bruni. 2019 · 1908
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CLOSURE: Assessing Systematic Generalization of CLEVR Models
Dzmitry Bahdanau, Harm de Vries, Timothy J. O’Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio, and Aaron Courville. 2019 · 1912
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Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, and Olivier Bousquet. 2020 · 1912
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Events in the semantics of english: A study in subatomic semantics
Terence Parsons. 1990 · 1990
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
Luke S. Zettlemoyer and Michael Collins. 2005 · 2005
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Discriminative learning and spanning tree algorithms for dependency parsing
Ryan Mcdonald. 2006 · 2006
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Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures
Daniel Furrer, Marc van Zee, Nathan Scales, and Nathanael Schärli. 2020 · 2007
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Pattern recognition and machine learning
Markus Svensén and Christopher M Bishop. 2007 · 2007
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Span-based Semantic Parsing for Compositional Generalization
Jonathan Herzig and Jonathan Berant. 2020 · 2009
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Hierarchical Poset Decoding for Compositional Generalization in Language
Yinuo Guo, Zeqi Lin, Jian-Guang Lou, and Dongmei Zhang. 2020 · 2010
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Peter Shaw, Ming-Wei Chang, Panupong Pasupat, and Kristina Toutanova. 2020 · 2010
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Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015 · 2015
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Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
Eliyahu Kiperwasser and Yoav Goldberg. 2016 · 2016
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AMR Parsing as Graph Prediction with Latent Alignment
Chunchuan Lyu and Ivan Titov. 2018 · 2018
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Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog
Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, and Luke Zettlemoyer. 2019 · 2019
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COGS: A Compositional Generalization Challenge Based on Semantic Interpretation
Najoung Kim and Tal Linzen. 2020a · 2020
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Lexicon Learning for Few-Shot Neural Sequence Modeling
Ekin Akyürek and Jacob Andreas. 2021 · 2021
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Meta-Learning to Compositionally Generalize
Henry Conklin, Bailin Wang, Kenny Smith, and Ivan Titov. 2021 · 2021
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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
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Deep Biaffine Attention for Neural Dependency Parsing
Timothy Dozat and Christopher D. Manning. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Coarse-to-Fine Decoding for Neural Semantic Parsing
Li Dong and Mirella Lapata. 2018 · 2018
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Improving Text-to-SQL Evaluation Methodology
Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, and Dragomir Radev. 2018 · 2018
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Brenden M. Lake and Marco Baroni. 2018 · 2018
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Cogs: A compositional generalization challenge based on semantic interpretation
Najoung Kim and Tal Linzen. 2020b
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The devil is in the detail: Simple tricks improve systematic generalization of transformers
Róbert Csordás, Kazuki Irie, and Jürgen Schmidhuber. 2021 · 2021
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Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations
Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, and Yuan Zhang. 2021 · 2021
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Learning Algebraic Recombination for Compositional Generalization
Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, and Dongmei Zhang. 2021 · 2021
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Making Transformers Solve Compositional Tasks
Santiago Ontañón, Joshua Ainslie, Vaclav Cvicek, and Zachary Fisher. 2021 · 2021
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Structured Reordering for Modeling Latent Alignments in Sequence Transduction
Bailin Wang, Mirella Lapata, and Ivan Titov. 2021 · 2021
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Compositional generalization via semantic tagging
Hao Zheng and Mirella Lapata. 2020 · 2021
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