• Kamath & Das 2019 - A Survey on Semantic Parsing

• Gildea & Jurafsky 2000 - Automatic Labeling of Semantic Roles Introduced broad-coverage semantic role labeling (SRL)
• Gildea & Jurafsky 2002 - Automatic Labeling of Semantic Roles Longer journal article
• PropBank
  • Strubell et al 2018 - Linguistically-Informed Self-Attention for Semantic Role Labeling (EMNLP 2018 Best Paper)

Related: Multi-sentence AMR. Implicit roles (also called implicit arguments or multi-sentence arguments) are semantic roles that exist across sentences.

• Ngoc Thi Do et al 2017 - Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments
• Ebner et al 2019 - Multi-Sentence Argument Linking

• Zelle & Mooney 1996 - Learning to Parse Database Queries Using Inductive Logic Programming Seminal paper that introduced the Geoquery dataset
• Dong & Lapata 2016 - Language to Logical Form with Neural Attention

• Lewis et al 2016 - LSTM CCG Parsing
• Ambati et al 2016 - Shift-Reduce CCG Parsing using Neural Network Models
• Lee et al 2016 - Global Neural CCG Parsing with Optimality Guarantees

• QASRL paper
• QAMR paper
• Pyatkin et al 2021 - Asking It All: Generating Contextualized Questions for any Semantic Role]]

• Ou & Liu 2022 - Learning to Generate Programs for Table Fact Verification via Structure-Aware Semantic Parsing

• Wang et al 2016 - Learning Language Games through Interaction (Percy Liang)
• Iyar et al 2017 - Learning a Neural Semantic Parser from User Feedback Basic idea: parse to an executable representation, excecute it (try it on some examples), have humans look at the output and provide feedback (in few different ways)
• Karamcheti et al 2020 - Learning Adaptive Language Interfaces through Decomposition (Percy Liang)

• Drozdov 2022 - Compositional Semantic Parsing with Large Language Models

• Pasupat et al 2021 - Controllable Semantic Parsing via Retrieval Augmentation Retrieves similar exemplars, from training data, and uses essentially GPT-style few-shot learning method to produce the parse with a seq2seq model

See also Data Augmentation.

• Jia & Liang 2016 - Data Recombination for Neural Semantic Parsing

• Geoquery, ATIS
• PropBank
• FrameNet
• CCGbank
• OntoNotes: Pradhan et al 2013 - Towards Robust Linguistic Analysis Using OntoNotes
• AMR (website)
• Groningen Meaning Bank (GMB) Paper: Basile et al 2012 - Developing a large semantically annotated corpus
• Parallel Meaning Bank (PMB) Paper: Abzianidze et al 2017 - The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations

• Neural Semantic Parsing Tutorial @ ACL 2018
• NN4NLP @ CMU - Neural Semantic Parsing

• Alexander Koller
• Jayant Krishnamurthy
• Mirella Lapata
• Percy Liang
• Siva Reddy
• Noah A. Smith
• Nianwen Xue
• Luke Zettlemoyer

• Abstract Meaning Representation
• Language to Programs
• Logic in NLP
• Semantic Dependencies
• Semantic Representations