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Semantic Parsing Resources

This repository provides resources for semantic parsing, including benchmark datasets, papers, tutorials, PhD theses, and framework tools.

Contributed by Bo Chen. Email him (chenbo at iscas.ac.cn) if you have any questions.

Tutorials about Semantic Parsing

(ordered by year)

  1. 开放域语义解析
    [slides]
    Xianpei Han, Bo Chen. CIPS Summer School, 2019.

  2. Neural Semantic Parsing
    [slides]
    Pradeep Dasigi, Srini Iyer, Alane Suhr, Matt Gardner, Luke Zettlemoyer. ACL-2018.

  3. Question Answering with Knowledge Base, Web and Beyond
    [slides]
    Scott Wen-tau Yih. NAACL-2016.

  4. Natural Language Understanding: Foundations and State-of-the-Art
    [slides]
    Percy Liang. ICML-2015.

  5. Semantic Parsing with Combinatory Categorial Grammars
    [slides] [website]
    Yoav Artzi, Nicholas FitzGerald and Luke Zettlemoyer. ACL-2013, EMNLP-2014, AAAI-2015.

  6. Semantic Parsing: The Task, the State of the Art and the Future
    [slides]
    Rohit J. Kate and Yuk Wah Wong. ACL-2010.

Frameworks or Tools for Semantic Parsing

  1. SEMPRE: Semantic Parsing with Execution
    [website]

  2. Cornell SPF - Cornell Semantic Parsing Framework
    [website]

  3. Allennlp - An open-source NLP research library
    [website]

  4. SLING - A natural language frame semantics parser
    [website]

  5. Graph-Parser
    [website]

  6. OpenNMT (for neural sequence modeling)
    [website]

Datasets for Semantic Parsing

  1. Geoquery
    [website] [execution]
    cite: John Zelle and Raymond Mooney. 1996. Learning to parse database queries using inductive logic programming. In AAAI.

  2. Jobs
    [website] [execution]
    cite: Lappoon Tang and Raymond Mooney. 2001. Using multiple clause constructors in inductive logic programming for semantic parsing. In ECML.

  3. ATIS
    [context-independent] [context-dependent]
    cite: Charles Hemphill, John Godfrey, and George Doddington. 1990. The ATIS spoken language pilot corpus. In DARPA Speech & Natural Language Workshop.
    Deborah Dahl, Madeleine Bates, Michael Brown, William Fisher, Kate Hunicke-Smith, David Pallett, Christine Pao, Alexander Rudnicky, and Elizabeth Shriberg. 1994. Expanding the scope of the ATIS task: The ATIS-3 corpus. In HLT.

  4. Webquestions
    [website]
    cite: Jonathan Berant, Andrew Chou, Roy Frostig, Percy Liang. 2013. Semantic parsing on Freebase from question-answer pairs. In EMNLP.

  5. Free917
    [website] cite: Qingqing Cai and Alexander Yates. 2013. Large-scale Semantic Parsing via Schema Matching and Lexicon Extension. In ACL.

  6. GraphQuestions
    [website]
    cite: Yu Su, Huan Sun, Brian Sadler, Mudhakar Srivatsa, Izzeddin Gur¨, Zenghui Yan, Xifeng Yan. 2016. On Generating Characteristic-rich Question Sets for QA Evaluation. In EMNLP.

  7. Spider
    [website]
    cite: Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir Radev. 2018. Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. In EMNLP.

  8. SPADES
    [website]
    cite: Yonatan Bisk, Siva Reddy, John Blitzer, Julia Hockenmaier, Mark Steedman. 2016. Evaluating Induced CCG Parsers on Grounded Semantic Parsing. In EMNLP.

  9. MSParS
    [website]
    cite: 2019. MSParS: a Multi-perspective Semantic ParSing Dataset for Knowledge-based Question Answering.

  10. CoNaLa
    [website]
    cite: Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, and Graham Neubig. 2018. Learning to mine aligned code and natural language pairs from Stack Overflow. In MSR.

  11. NL2Bash
    [website]
    cite: X.Victoria Lin, C. Wang, L. Zettlemoyer, M.D. Ernst. 2018. NL2Bash: A corpus and semantic parser for natural language interface to the Linux operating system. In LREC: Language Resources and Evaluation Conference.

  12. WikiTableQuestions
    [website]
    cite: Panupong Pasupat and Percy Liang. 2015. Compositional Semantic Parsing on Semi-Structured Tables. In ACL.

PhD theses about Semantic Parsing

(ordered by year)

  1. The Lifecycle of Neural Semantic Parsing
    [thesis]
    Jianpeng Cheng, advisor: Mirella Lapata and Adam Lopez, University of Edinburgh, 2019.

  2. Learning Natural Language Interfaces with Neural Models
    [thesis]
    Li Dong, advisor: Mirella Lapata, University of Edinburgh, 2018.

  3. 基于词典学习和结构映射的语义解析技术研究 (Semantic Parsing based on Lexicon Learning and Structure Mapping)
    [thesis]
    Bo Chen, advisor: Le Sun, Institute of Software, Chinese Academy of Sciences, 2018.

  4. Integrating Machine Learning and Symbolic Reasoning: Learning to Generate Symbolic Representations from Weak Supervision
    [thesis]
    Chen Liang, advisor: Ken Forbus and Ni Lao, Northwestern University, 2018.

  5. Syntax-Mediated Semantic Parsing
    [thesis]
    Siva Reddy, advisor: Mirella Lapata and Mark Steedman, University of Edinburgh, 2017.

  6. Natural Language Semantics Using Probabilistic Logic
    [thesis] [slides]
    Islam Beltagy, advisor: Raymond J. Mooney, The University of Texas at Austin, 2016.

  7. Learning to Understand Natural Language with Less Human Effort
    [thesis]
    Jayant Krishnamurthy, advisor: Tom M. Mitchell, Carnegie Mellon University, 2015.

  8. Situated Understanding and Learning of Natural Language
    [thesis]
    Yoav Artzi, advisor: Luke S. Zettlemoyer, University of Washington, 2015.

  9. Learning from natural instructions
    [thesis]
    Dan Goldwasser, advisor: Dan Roth, University of Illinois at Urbana-Champaign, 2012.

  10. Probabilistic Grammar Induction from Sentences and Structured Meanings
    [thesis]
    Tom Kwiatkowski, advisor: Mark Steedman, Sharon Goldwater and Luke Zettlemoyer, University of Edinburgh, 2012.

  11. Learning Dependency-Based Compositional Semantics
    [thesis]
    Percy Liang, advisor: Michael Jordan and Dan Klein, University of California, Berkeley, 2011.

  12. Learning to map sentences to logical form
    [thesis]
    Luke S. Zettlemoyer, advisor: Michael Collins and Leslie Pack Kaelbling, Massachusetts Institute of Technology, 2009.

  13. Learning for Semantic Parsing Using Statistical Syntactic Parsing Techniques.
    [thesis] [slides]
    Ruifang Ge, advisor: Raymond J. Mooney, The University of Texas at Austin, 2010.

  14. Learning for Semantic Parsing and Natural Language Generation Using Statistical Machine Translation Techniques.
    [thesis]
    Yuk Wah Wong, advisor: Raymond J. Mooney, The University of Texas at Austin, 2007.

  15. Learning for Semantic Parsing with Kernels under Various Forms of Supervision.
    [thesis] [slides]
    Rohit J. Kate, advisor: Raymond J. Mooney, The University of Texas at Austin, 2007.

  16. A Hybrid Tree Framework for Semantic Parsing and Language Generation
    [thesis]
    Lu Wei, advisor: Ng Hwee Tou, Lee Wee Sun and Leslie Pack Kaelbling, National University of Singapore, 2006.

  17. Semantic Lexicon Acquisition for Learning Natural Language Interfaces.
    [thesis] [slides]
    Cynthia Ann Thompson, advisor: Raymond J. Mooney, The University of Texas at Austin, 1998.

  18. Using Inductive Logic Programming to Automate the Construction of Natural Language Parsers.
    [thesis] [slides]
    John M. Zelle, advisor: Raymond J. Mooney, The University of Texas at Austin, 1995.

Papers about Semantic Parsing

(ordered by year)

2020

  1. CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant
    [paper] [code]
    Kavya Srinet, Yacine Jernite, Jonathan Gray, arthur szlam. ACL-2020.

  2. Semantic Parsing for English as a Second Language
    [paper]
    Yuanyuan Zhao, Weiwei Sun, junjie cao, Xiaojun Wan. ACL-2020.

  3. Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing
    [paper] [code]
    Ruisheng Cao, Su Zhu, Chenyu Yang, Chen Liu, Rao Ma, Yanbin Zhao, Lu Chen, Kai Yu. ACL-2020.

  4. Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing
    [paper] [code]
    Alane Suhr, Ming-Wei Chang, Peter Shaw, Kenton Lee. ACL-2020.

  5. Universal Decompositional Semantic Parsing
    [paper] [website]
    Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme. ACL-2020.

  6. Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback
    [paper] [data]
    Ahmed Elgohary, saghar Hosseini, Ahmed Hassan Awadallah. ACL-2020.

  7. RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
    [paper] [code]
    Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson ACL-2020.

  8. Photon: A Robust Cross-Domain Text-to-SQL System
    [paper] [demo]
    Jichuan Zeng, Xi Victoria Lin, Steven C.H. Hoi, Richard Socher, Caiming Xiong, Michael Lyu, Irwin King. ACL-2020 demo.

  9. Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing
    [paper]
    Bo Chen, Xianpei Han, Ben He, Le Sun. AAAI-2020.

  10. Merging Weak and Active Supervision for Semantic Parsing
    [paper] [code]
    Ansong Ni, Pengcheng Yin, Graham Neubig. AAAI-2020.

  11. Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing
    [paper]
    Bo Shao, Yeyun Gong, Weizhen Qi, Guihong Cao, Jianshu Ji, Xiaola Lin. AAAI-2020.

  12. SPARQA: Skeleton-Based Semantic Parsing for Complex Questions over Knowledge Bases
    [paper] [code]
    Yawei Sun, Lingling Zhang, Gong Cheng, Yuzhong Qu. AAAI-2020.

  13. Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning
    [paper]
    Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang. AAAI-2020.

  14. Zero-Shot Text-to-SQL Learning with Auxiliary Task
    [paper] [code]
    Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou AAAI-2020.

2019

  1. Look-up and Adapt: A One-shot Semantic Parser
    [paper] [code]
    Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom Mitchell. EMNLP-2019.

  2. Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog
    [paper] [code]
    Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer. EMNLP-2019.

  3. A Pilot Study for Chinese SQL Semantic Parsing
    [paper] [code]
    Qingkai Min, Yuefeng Shi, Yue Zhang. EMNLP-2019.

  4. Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs
    [paper] [code]
    Bailin Wang, Ivan Titov, Mirella Lapata. EMNLP-2019.

  5. Broad-Coverage Semantic Parsing as Transduction
    [paper]
    Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme. EMNLP-2019.

  6. Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing
    [paper] [code]
    Jonathan Herzig, Jonathan Berant. EMNLP-2019.

  7. Learning Programmatic Idioms for Scalable Semantic Parsing
    [paper]
    Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer. EMNLP-2019.

  8. Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study
    [paper] [code]
    Ziyu Yao, Yu Su, Huan Sun, Wen-tau Yih. EMNLP-2019.

  9. Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering
    [paper]
    Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu. EMNLP-2019.

  10. Semantic Parsing with Dual Learning
    [paper]
    Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, Kai Yu. ACL-2019.

  11. Generating Logical Forms from Graph Representations of Text and Entities
    [paper]
    Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun. ACL-2019.

  12. Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing
    [paper]
    Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin. ACL-2019.

  13. Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization
    [paper]
    Hai Ye, Wenjie Li, Lu Wang. ACL-2019.

  14. Zero-Shot Semantic Parsing for Instructions
    [paper] [code]
    Ofer Givoli and Roi Reichart. ACL-2019.

  15. Complex Question Decomposition for Semantic Parsing
    [paper]
    Haoyu Zhang, Jingjing Cai, Jianjun Xu, Ji Wang. ACL-2019.

  16. SParC: Cross-Domain Semantic Parsing in Context
    [paper] [website]
    Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev. ACL-2019.

  17. Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
    [paper] [code]
    Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, Dongmei Zhang. ACL-2019.

  18. Reranking for Neural Semantic Parsing
    [paper] [code]
    Pengcheng Yin and Graham Neubig. ACL-2019.

  19. Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
    [paper] [code]
    Ben Bogin, Jonathan Berant, Matt Gardner. ACL-2019.

  20. Unified Semantic Parsing with Weak Supervision
    [paper]
    Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish Mittal, Karthik Sankaranarayanan. ACL-2019.

  21. AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing
    [paper]
    Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao. ACL-2019.

  22. Grammatical Sequence Prediction for Real-Time Neural Semantic Parsing
    [paper]
    Chunyang Xiao, Christoph Teichmann, Konstantine Arkoudas. ACL-workshop-2019.

  23. Learning an Executable Neural Semantic Parser
    [paper]
    Jianpeng Cheng, Siva Reddy, Vijay Saraswat, Mirella Lapata. CL-2019.

  24. Iterative Search for Weakly Supervised Semantic Parsing
    [paper]
    Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard Hovy. NAACL-2019.

  25. Context-Dependent Semantic Parsing over Temporally Structured Data
    [paper]
    Charles Chen and Razvan Bunescu. NAACL-2019.

2018

  1. Semantic Parsing with Syntax- and Table-Aware SQL Generation
    [paper]
    Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou. ACL-2018.

  2. Coarse-to-Fine Decoding for Neural Semantic Parsing
    [paper] [slides] [code]
    Li Dong and Mirella Lapata. ACL-2018.

  3. Confidence Modeling for Neural Semantic Parsing
    [paper] [slides] [code]
    Li Dong, Chris Quirk, Mirella Lapata. ACL-2018.

  4. StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
    [paper]
    Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig. ACL-2018.

  5. Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing
    [paper] [slides] [code]
    Bo Chen, Le Sun, Xianpei Han. ACL-2018.

  6. Weakly Supervised Semantic Parsing with Abstract Examples
    [paper] [slides] [code]
    Omer Goldman, Veronika Latcinnik, Udi Naveh, Amir Globerson, Jonathan Berant. ACL-2018.

  7. Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback
    [paper] [slides]
    Carolin Lawrence and Stefan Riezler. ACL-2018.

  8. Active learning for deep semantic parsing
    [paper (short)] [poster]
    Long Duong, Hadi Afshar, Dominique Estival, Glen Pink, Philip Cohen, Mark Johnson. ACL-2018.

  9. Learning Cross-lingual Distributed Logical Representations for Semantic Parsing
    [paper (short)] [slides]
    Yanyan Zou and Wei Lu. ACL-2018.

  10. Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation
    [paper] [slides] [code]
    Alane Suhr and Yoav Artzi. ACL-2018.

  11. Weakly-Supervised Neural Semantic Parsing with a Generative Ranker
    [paper]
    Jianpeng Cheng and Mirella Lapata. EMNLP-CoNLL-2018.

  12. Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model
    [paper (short)]
    Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin. EMNLP-2018.

  13. Question Generation from SQL Queries Improves Neural Semantic Parsing
    [paper]
    Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen, Ming Zhou. EMNLP-2018.

  14. Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing
    [paper] [code]
    Jonathan Herzig and Jonathan Berant. EMNLP-2018.

  15. Learning to Learn Semantic Parsers from Natural Language Supervision
    [paper]
    Igor Labutov, Bishan Yang, Tom Mitchell. EMNLP-2018.

  16. Dependency-based Hybrid Trees for Semantic Parsing
    [paper] [code]
    Zhanming Jie and Wei Lu. EMNLP-2018.

  17. Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations
    [paper]
    Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih. EMNLP.

  18. Grounding language acquisition by training semantic parsers using captioned videos
    [paper]
    Candace Ross, Andrei Barbu, Yevgeni Berzak, Battushig Myanganbayar, Boris Katz. EMNLP-2018.

  19. Semantic Parsing for Task Oriented Dialog using Hierarchical Representations
    [paper] [data]
    Sonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar, Mike Lewis. EMNLP-2018.

  20. Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
    [paper] [data]
    Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir Radev. EMNLP-2018.

  21. TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
    [paper (demo)] [code]
    Pengcheng Yin and Graham Neubig. EMNLP-2018.

  22. Polyglot Semantic Parsing in APIs
    [paper] [code]
    Kyle Richardson, Jonathan Berant, Jonas Kuhn. NAACL-2018.

  23. Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing
    [paper]
    Bo Chen, Bo An, Le Sun, Xianpei Han. COLING-2018.

  24. NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System
    [paper] [code]
    Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, Michael D. Ernst. LREC-2018.

2017

  1. Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
    [paper] [slides] [code]
    Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus, Ni Lao. ACL-2017.

  2. Learning Structured Natural Language Representations for Semantic Parsing
    [paper] [code]
    Jianpeng Cheng, Siva Reddy, Vijay Saraswat, Mirella Lapata. ACL-2017.

  3. Learning a Neural Semantic Parser from User Feedback
    [paper] [code]
    Srinivasan Iyer | Ioannis Konstas | Alvin Cheung | Jayant Krishnamurthy | Luke Zettlemoyer. ACL-2017.

  4. Abstract Syntax Networks for Code Generation and Semantic Parsing
    [paper]
    Maxim Rabinovich, Mitchell Stern, Dan Klein. ACL-2017.

  5. Semantic Parsing of Pre-university Math Problems
    [paper] [slides] [code]
    Takuya Matsuzaki, Takumi Ito, Hidenao Iwane, Hirokazu Anai, Noriko H. Arai. ACL-2017.

  6. Neural Architectures for Multilingual Semantic Parsing
    [paper (short)] [code]
    Raymond Hendy Susanto and Wei Lu. ACL-2017.

  7. Neural Semantic Parsing over Multiple Knowledge-bases
    [paper (short)] [code]
    Jonathan Herzig and Jonathan Berant. ACL-2017.

  8. From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
    [paper] [slides] [code]
    Kelvin Guu, Panupong Pasupat, Evan Liu, Percy Liang. ACL-2017.

  9. Learning to Paraphrase for Question Answering
    [paper] [code]
    Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata. EMNLP-2017.

  10. Universal Semantic Parsing
    [paper] [code]
    Siva Reddy, Oscar Täckström, Slav Petrov, Mark Steedman, Mirella Lapata. EMNLP-2017.

  11. Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers
    [paper]
    Mark Hopkins, Cristian Petrescu-Prahova, Roie Levin, Ronan Le Bras, Alvaro Herrasti, Vidur Joshi. EMNLP-2017.

  12. Macro Grammars and Holistic Triggering for Efficient Semantic Parsing
    [paper] [code]
    Yuchen Zhang, Panupong Pasupat, Percy Liang. EMNLP-2017.

  13. Cross-domain Semantic Parsing via Paraphrasing
    [paper] [code]
    Yu Su and Xifeng Yan.

  14. Neural Semantic Parsing with Type Constraints for Semi-Structured Tables
    [paper]
    Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner. EMNLP-2017.

  15. Joint Concept Learning and Semantic Parsing from Natural Language Explanations
    [paper]
    Shashank Srivastava, Igor Labutov, Tom Mitchell. EMNLP-2017.

  16. Evaluating Semantic Parsing against a Simple Web-based Question Answering Model
    [paper] [code]
    Alon Talmor, Mor Geva, Jonathan Berant. *Sem-2017.

  17. Automated Template Generation for Question Answering over Knowledge Graphs
    [paper]
    Abdalghani Abujabal, Mohamed Yahya, Mirek Riedewald, Gerhard Weikum. WWW-2017.

2016

  1. Data Recombination for Neural Semantic Parsing
    [paper] [slides] [code]
    Robin Jia and Percy Liang. ACL-2016.

  2. Improved Semantic Parsers For If-Then Statements
    [paper]
    I. Beltagy and Chris Quirk. ACL-2016.

  3. Sentence Rewriting for Semantic Parsing
    [paper]
    Bo Chen, Le Sun, Xianpei Han, Bo An. ACL-2016.

  4. Sequence-based Structured Prediction for Semantic Parsing
    [paper]
    Chunyang Xiao, Marc Dymetman, Claire Gardent. ACL-2016.

  5. The Value of Semantic Parse Labeling for Knowledge Base Question Answering
    [paper (short)] [data]
    Wen-tau Yih, Matthew Richardson, Chris Meek, Ming-Wei Chang, Jina Suh. ACL-2016.

  6. Simpler Context-Dependent Logical Forms via Model Projections
    [paper] [code]
    Reginald Long, Panupong Pasupat, Percy Liang. ACL-2016.

  7. Inferring Logical Forms From Denotations
    [paper] [slides] [code]
    Panupong Pasupat and Percy Liang. ACL-2016.

  8. Simpler Context-Dependent Logical Forms via Model Projections
    [paper] [code]
    Reginald Long, Panupong Pasupat, Percy Liang. ACL-2016.

  9. Language to Logical Form with Neural Attention
    [paper] [slides] [code]
    Li Dong and Mirella Lapata. ACL-2016.

  10. Improving Semantic Parsing via Answer Type Inference
    [paper]
    Semih Yavuz, Izzeddin Gur, Yu Su, Mudhakar Srivatsa, Xifeng Yan. EMNLP-2016.

  11. Semantic Parsing to Probabilistic Programs for Situated Question Answering
    [paper] [code]
    Jayant Krishnamurthy, Oyvind Tafjord, Aniruddha Kembhavi. EMNLP-2016.

  12. Semantic Parsing with Semi-Supervised Sequential Autoencoders
    [paper] [code]
    Tomáš Kočiský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann. EMNLP-2016.

  13. Probabilistic Models for Learning a Semantic Parser Lexicon
    [paper] [code]
    Jayant Krishnamurthy. NAACL-2016.

  14. A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap
    [paper] [data]
    Carolin Haas and Stefan Riezler. NAACL-2016.

  15. Learning to compose neural networks for question answering
    [paper] [slides] [code]
    Jacob Andreas, Marcus Rohrbach, Trevor Darrell and Dan Klein. NAACL-2016.

  16. Transforming Dependency Structures to Logical Forms for Semantic Parsing
    [paper] [slides] [code]
    Siva Reddy, Oscar Täckström, Michael Collins, Tom Kwiatkowski, Dipanjan Das, Mark Steedman, Mirella Lapata. TACL-2016.

  17. Learning to Make Inferences in a Semantic Parsing Task
    [paper]
    Kyle Richardson and Jonas Kuhn. TACL-2016.

  18. Cross-lingual Learning of an Open-domain Semantic Parser
    [paper]
    Kilian Evang and Johan Bos. COLING-2016.

2015

  1. Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes
    [paper]
    Chris Quirk, Raymond Mooney, Michel Galley. ACL-2015.

  2. Scalable Semantic Parsing with Partial Ontologies
    [paper] [slides] [data]
    Eunsol Choi, Tom Kwiatkowski, Luke Zettlemoyer. ACL-2015.

  3. Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base
    [paper] [slides] [code]
    Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao. ACL-2015.

  4. Building a Semantic Parser Overnight
    [paper] [code]
    Yushi Wang, Jonathan Berant, Percy Liang. ACL-2015.

  5. Compositional Semantic Parsing on Semi-Structured Tables
    [paper] [slides] [code]
    Panupong Pasupat and Percy Liang. ACL-2015.

  6. Constrained Semantic Forests for Improved Discriminative Semantic Parsing
    [paper (short)] [code]
    Wei Lu. ACL-2015.

  7. Automatically Solving Number Word Problems by Semantic Parsing and Reasoning
    [paper] [dataset]
    Shuming Shi, Yuehui Wang, Chin-Yew Lin, Xiaojiang Liu, Yong Rui. EMNLP-2015.

  8. Improving Semantic Parsing with Enriched Synchronous Context-Free Grammar
    [paper]
    Junhui Li, Muhua Zhu, Wei Lu, Guodong Zhou. EMNLP-2015.

  9. Grounded Semantic Parsing for Complex Knowledge Extraction
    [paper]
    Ankur P. Parikh, Hoifung Poon, Kristina Toutanova. NAACL-2015.

  10. Semantic parsing of speech using grammars learned with weak supervision
    [paper]
    Judith Gaspers, Philipp Cimiano, Britta Wrede. NAACL-2015.

  11. Type-Driven Incremental Semantic Parsing with Polymorphism
    [paper (short)] [slides] [code]
    Kai Zhao and Liang Huang. NAACL-2015.

  12. Imitation Learning of Agenda-based Semantic Parsers
    [paper] [code]
    Jonathan Berant and Percy Liang. TACL-2015.

  13. Semantic Parsing of Ambiguous Input through Paraphrasing and Verification
    [paper]
    Philip Arthur, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura. TACL-2015.

  14. Parsing Algebraic Word Problems into Equations
    [paper] [code]
    Rik Koncel-Kedziorski, Hannaneh Hajishirzi, Ashish Sabharwal, Oren Etzioni, Siena Dumas Ang. TACL-2015.⁠

2014

  1. Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar
    [paper] [code]
    Jayant Krishnamurthy and Tom M. Mitchell. ACL-2014.

  2. Semantic Parsing via Paraphrasing
    [paper] [code]
    Jonathan Berant and Percy Liang. ACL-2014.

  3. Context-dependent Semantic Parsing for Time Expressions
    [paper] [slides] [code]
    Kenton Lee, Yoav Artzi, Jesse Dodge, Luke Zettlemoyer. ACL-2014.

  4. Semantic Parsing for Single-Relation Question Answering
    [paper (short)] [slides]
    Wen-tau Yih, Xiaodong He, Christopher Meek. ACL-2014.

  5. Information Extraction over Structured Data: Question Answering with Freebase
    [paper] [slides] [data]
    Xuchen Yao and Benjamin Van Durme. ACL-2014.

  6. Knowledge-Based Question Answering as Machine Translation
    [paper]
    Junwei Bao, Nan Duan, Ming Zhou, Tiejun Zhao. ACL-2014.

  7. Learning to Automatically Solve Algebra Word Problems
    [paper] [slides]
    Nate Kushman, Yoav Artzi, Luke Zettlemoyer, Regina Barzilay. ACL-2014.

  8. Empirically-motivated Generalizations of CCG Semantic Parsing Learning Algorithms
    [paper]
    Jesse Glass and Alexander Yates. EACL-2014.

  9. Learning Compact Lexicons for CCG Semantic Parsing
    [paper] [data]
    Yoav Artzi, Dipanjan Das, Slav Petrov. EMNLP-2014.

  10. Morpho-syntactic Lexical Generalization for CCG Semantic Parsing
    [paper]
    Adrienne Wang, Tom Kwiatkowski, Luke Zettlemoyer. EMNLP-2014.

  11. Semantic Parsing with Relaxed Hybrid Trees
    [paper] [code] Wei Lu. EMNLP-2014.

  12. Question Answering over Linked Data Using First-order Logic
    [paper]
    Shizhu He, Kang Liu, Yuanzhe Zhang, Liheng Xu, Jun Zhao. EMNLP-2014.

  13. Large-scale Semantic Parsing without Question-Answer Pairs
    [paper] [slides] [code]
    Siva Reddy, Mirella Lapata, Mark Steedman. TACL-2014.

  14. A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing
    [paper] [code] [data]
    Andreas Vlachos and Stephen Clark. TACL-2014.

  15. Multilingual Semantic Parsing : Parsing Multiple Languages into Semantic Representations
    [paper]
    Zhanming Jie and Wei Lu. COLING-2014.

2013

  1. Large-scale Semantic Parsing via Schema Matching and Lexicon Extension
    [paper]
    Qingqing Cai and Alexander Yates. ACL-2013.

  2. Grounded Unsupervised Semantic Parsing
    [paper]
    Hoifung Poon. ACL-2013.

  3. Semantic Parsing as Machine Translation
    [paper (short)] [code]
    Jacob Andreas, Andreas Vlachos, Stephen Clark. ACL-2013.

  4. Leveraging Domain-Independent Information in Semantic Parsing
    [paper (short)]
    Dan Goldwasser and Dan Roth. ACL-2013.

  5. Paraphrase-Driven Learning for Open Question Answering
    [paper] [code] Anthony Fader, Luke Zettlemoyer, Oren Etzioni. ACL-2013.

  6. Learning Dependency-Based Compositional Semantics
    [paper]
    Percy Liang, Michael I. Jordan, Dan Klein. ACL-2013.

  7. Semantic Parsing on Freebase from Question-Answer Pairs
    [paper] [code]
    Jonathan Berant, Andrew Chou, Roy Frostig, Percy Liang. EMNLP-2013.

  8. Scaling Semantic Parsers with On-the-Fly Ontology Matching
    [paper]
    Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, Luke Zettlemoyer. EMNLP-2013.

  9. Semantic Parsing Freebase: Towards Open-domain Semantic Parsing
    [paper]
    Qingqing Cai and Alexander Yates. *SEM-2013.

  10. Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions
    [paper] [slides] [code]
    Yoav Artzi and Luke Zettlemoyer. TACL-2013.

2012

  1. Semantic Parsing with Bayesian Tree Transducers
    [paper]
    Bevan Jones, Mark Johnson, Sharon Goldwater. ACL-2012.

  2. Weakly Supervised Training of Semantic Parsers
    [paper]
    Jayant Krishnamurthy and Tom Mitchell. EMNLP-2012.

  3. Light Textual Inference for Semantic Parsing
    [paper]
    Kyle Richardson and Jonas Kuhn. COLING-2012.

  4. Learning Compositional Semantics for Open Domain Semantic Parsing
    [paper]
    Phong Le and Willem Zuidema. COLING-2012.

2011

  1. A Bayesian Model for Unsupervised Semantic Parsing
    [paper]
    Ivan Titov and Alexandre Klementiev. ACL-2011.

  2. Confidence Driven Unsupervised Semantic Parsing
    [paper]
    Dan Goldwasser, Roi Reichart, James Clarke, Dan Roth. ACL-2011.

  3. Bootstrapping Semantic Parsers from Conversations
    [paper] [slides]
    Yoav Artzi and Luke Zettlemoyer. EMNLP-2011.

  4. Lexical Generalization in CCG Grammar Induction for Semantic Parsing
    [paper]
    Tom Kwiatkowski, Luke Zettlemoyer, Sharon Goldwater, Mark Steedman. EMNLP-2011.

  5. Computing Logical Form on Regulatory Texts
    [paper]
    Nikhil Dinesh, Aravind Joshi, Insup Lee. EMNLP-2011.

2010

  1. Driving Semantic Parsing from the World’s Response
    [paper]
    James Clarke, Dan Goldwasser, Ming-Wei Chang, Dan Roth. CoNLL-2010.

  2. Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification
    [paper]
    Tom Kwiatkowksi, Luke Zettlemoyer, Sharon Goldwater, Mark Steedman. EMNLP-2010.

  3. Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision
    [paper]
    Joohyun Kim and Raymond Mooney. COLING-2010.

before 2010

  1. Learning a Compositional Semantic Parser using an Existing Syntactic Parser
    [paper] [slides]
    Ruifang Ge and Raymond Mooney. ACL-2009.

  2. Learning Context-Dependent Mappings from Sentences to Logical Form
    [paper]
    Luke Zettlemoyer and Michael Collins. ACL-2009.

  3. Unsupervised Semantic Parsing
    [paper]
    Hoifung Poon and Pedro Domingos. EMNLP-2009.

  4. Transforming Meaning Representation Grammars to Improve Semantic Parsing
    [paper]
    Rohit Kate. CoNLL-2008.

  5. A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus
    [paper]
    Deyu Zhou and Yulan He. COLING-2008.

  6. Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus
    [paper] [slides]
    Yuk Wah Wong and Raymond J. Mooney. ACL-2007.

  7. Using Semantic Roles to Improve Question Answering
    [paper]
    Dan Shen and Mirella Lapata. EMNLP-2007.

  8. Online Learning of Relaxed CCG Grammars for Parsing to Logical Form
    [paper]
    Luke S. Zettlemoyer and Michael Collins. ENNLP-2007.

  9. Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation
    [paper]
    Yuk Wah Wong and Raymond Mooney. NAACL-2007.

  10. Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
    [paper]
    Rohit Kate and Raymond Mooney. NAACL-2007.

  11. Learning for Semantic Parsing
    [paper]
    Raymond J. Mooney. CICLing-2007

  12. Learning Language Semantics from Ambiguous Supervision
    [paper]
    Rohit J. Kate and Raymond J. Mooney. AAAI-2007.

  13. Using String-Kernels for Learning Semantic Parsers
    [paper] [slides]
    Rohit J. Kate and Raymond J. Mooney. ACL-2006.

  14. Discriminative Reranking for Semantic Parsing
    [paper]
    Ruifang Ge and Raymond J. Mooney. ACL-2006.

  15. Semantic Parsing with Structured SVM Ensemble Classification Models
    [paper]
    Le-Minh Nguyen, Akira Shimazu, Xuan-Hieu Phan. ACL-2006.

  16. Learning for Semantic Parsing with Statistical Machine Translation
    [paper]
    Yuk Wah Wong and Raymond J. Mooney. NAACL-2006.

  17. A Statistical Semantic Parser that Integrates Syntax and Semantics
    [paper]
    Ruifang Ge and Raymond Mooney. CoNLL-2005.

  18. Learning to Transform Natural to Formal Languages
    [paper]
    Rohit J. Kate, Yuk Wah Wong, Raymond J. Mooney. AAAI-2005.

  19. Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
    [paper] [slides]
    Luke S. Zettlemoyer and Michael Collins. UAI-2005.

  20. Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing
    [paper]
    Lappoon R. Tang and Raymond J. Mooney. ECML-2001.

  21. Automated Construction of Database Interfaces: Integrating Statistical and Relational Learning for Semantic Parsing
    [paper]
    Lappoon R. Tang and Raymond J. Mooney. EMNLP-2000.

  22. Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces
    [paper]
    Cynthia A. Thompson and Raymond J. Mooney. AAAI-1999.

  23. Learning to Parse Database Queries using Inductive Logic Programming
    [paper]
    John M. Zelle and Raymond J. Mooney. AAAI-1996.

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