Semantic Parsing

Semantic Parsing is the task of transducing natural language utterances into formal meaning representations. The target meaning representations can be defined according to a wide variety of formalisms. This include linguistically-motivated semantic representations that are designed to capture the meaning of any sentence such as λ-calculus or the abstract meaning representations. Alternatively, for more task-driven approaches to Semantic Parsing, it is common for meaning representations to represent executable programs such as SQL queries, robotic commands, smart phone instructions, and even general-purpose programming languages like Python and Java.

Source: Tranx: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation

Papers

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Showing 51–75 of 1202 papers

Title	Date	Tasks	Status	Hype
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data	Aug 1, 2021	Code GenerationInductive Bias	CodeCode Available	1
Exploring Neural Methods for Parsing Discourse Representation Structures	Oct 30, 2018	DRS ParsingSemantic Parsing	CodeCode Available	1
FeTaQA: Free-form Table Question Answering	Apr 1, 2021	FormQuestion Answering	CodeCode Available	1
Few-Shot Semantic Parsing for New Predicates	Jan 26, 2021	Few-Shot LearningMeta-Learning	CodeCode Available	1
Grammar Prompting for Domain-Specific Language Generation with Large Language Models	May 30, 2023	In-Context LearningSemantic Parsing	CodeCode Available	1
AMR Parsing as Sequence-to-Graph Transduction	May 21, 2019	AMR ParsingSemantic Parsing	CodeCode Available	1
Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem	Apr 7, 2020	DecoderMachine Translation	CodeCode Available	1
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing	Sep 29, 2020	Inductive BiasLanguage Modeling	CodeCode Available	1
Human Pose Transfer by Adaptive Hierarchical Deformation	Dec 13, 2020	Image GenerationPose Transfer	CodeCode Available	1
Identity-Guided Human Semantic Parsing for Person Re-Identification	Jul 27, 2020	ClusteringHuman Parsing	CodeCode Available	1
Improving Compositional Generalization in Semantic Parsing	Oct 12, 2020	DecoderSemantic Parsing	CodeCode Available	1
Improving Compositional Generalization with Latent Structure and Data Augmentation	Dec 14, 2021	Data AugmentationDiagnostic	CodeCode Available	1
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT	Nov 9, 2020	DRS ParsingLanguage Modeling	CodeCode Available	1
Code-Style In-Context Learning for Knowledge-Based Question Answering	Sep 9, 2023	Code GenerationIn-Context Learning	CodeCode Available	1
Complex Knowledge Base Question Answering: A Survey	Aug 15, 2021	Information RetrievalKnowledge Base Question Answering	CodeCode Available	1
Break It Down: A Question Understanding Benchmark	Jan 31, 2020	Open-Domain Question AnsweringQuestion Answering	CodeCode Available	1
Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing	Dec 23, 2020	DecoderDeep Attention	CodeCode Available	1
Benchmarking Meaning Representations in Neural Semantic Parsing	Nov 1, 2020	BenchmarkingSemantic Parsing	CodeCode Available	1
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases	Mar 6, 2019	Information RetrievalKnowledge Base Question Answering	CodeCode Available	1
CABINET: Content Relevance based Noise Reduction for Table Question Answering	Feb 2, 2024	In-Context LearningQuestion Answering	CodeCode Available	1
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs	May 4, 2023	Semantic ParsingSQL Parsing	CodeCode Available	1
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond	Apr 20, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering	Apr 17, 2022	Knowledge Base Question AnsweringProgram induction	CodeCode Available	1
Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding	Apr 16, 2020	Human Part SegmentationPanoptic Segmentation	CodeCode Available	1
AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data	Oct 9, 2020	AttributeNatural Questions	CodeCode Available	1

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All datasets WikiTableQuestions spider CFQ WebQuestionsSP WikiSQL ATIS Geo PTG (czech, MRP 2020)AMR (chinese, MRP 2020)AMR (english, MRP 2020)DRG (english, MRP 2020)DRG (german, MRP 2020)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ARTEMIS-DA	Accuracy (Test)	80.8	—	Unverified
2	SynTQA (Oracle)	Test Accuracy	77.5	—	Unverified
3	TabLaP	Accuracy (Test)	76.6	—	Unverified
4	SynTQA (GPT)	Accuracy (Test)	74.4	—	Unverified
5	Mix SC	Accuracy (Test)	73.6	—	Unverified
6	SynTQA (RF)	Accuracy (Test)	71.6	—	Unverified
7	CABINET	Accuracy (Test)	69.1	—	Unverified
8	NormTab+TabSQLify	Accuracy (Test)	68.63	—	Unverified
9	Chain-of-Table	Accuracy (Test)	67.31	—	Unverified
10	Tab-PoT	Accuracy (Test)	66.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RESDSQL-3B + NatSQL	Accuracy	84.1	—	Unverified
2	code-davinci-002 175B (LEVER)	Accuracy	81.9	—	Unverified
3	RASAT+PICARD	Accuracy	75.5	—	Unverified
4	Graphix-3B + PICARD	Accuracy	74	—	Unverified
5	T5-3B + PICARD	Accuracy	71.9	—	Unverified
6	SADGA + GAP	Accuracy	70.1	—	Unverified
7	RATSQL + GAP	Accuracy	69.7	—	Unverified
8	RATSQL + Grammar-Augmented Pre-Training	Accuracy	69.6	—	Unverified
9	RATSQL + BERT	Accuracy	65.6	—	Unverified
10	Exact Set Matching	Accuracy	19.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Dynamic Least-to-Most Prompting	Exact Match	95	—	Unverified
2	LeAR	Exact Match	90.9	—	Unverified
3	T5-3B w/ Intermediate Representations	Exact Match	83.8	—	Unverified
4	Hierarchical Poset Decoding	Exact Match	69	—	Unverified
5	Universal Transformer	Exact Match	18.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ReaRev	Accuracy	76.4	—	Unverified
2	NSM+h	Accuracy	74.3	—	Unverified
3	CBR-KBQA	Accuracy	70	—	Unverified
4	STAGG (Yih et al., 2016)	Accuracy	63.9	—	Unverified
5	T5-11B (Raffel et al., 2020)	Accuracy	56.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CABINET	Denotation accuracy (test)	89.5	—	Unverified
2	TAPEX-Large (weak supervision)	Denotation accuracy (test)	89.5	—	Unverified
3	ReasTAP-Large (weak supervision)	Denotation accuracy (test)	89.2	—	Unverified
4	NL2SQL-BERT	Accuracy	89	—	Unverified
5	TAPAS-Large (weak supervision)	Denotation accuracy (test)	83.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PhraseTransformer	Accuracy	90.4	—	Unverified
2	Tranx	Accuracy	86.2	—	Unverified
3	ASN (Rabinovich et al., 2017)	Accuracy	85.3	—	Unverified
4	ZH15 (Zhao and Huang, 2015)	Accuracy	84.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	coarse2fine	Accuracy	88.2	—	Unverified
2	PhraseTransformer	Accuracy	87.9	—	Unverified
3	Tranx	Accuracy	87.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PERIN + RobeCzech	F1	92.36	—	Unverified
2	PERIN	F1	92.24	—	Unverified
3	HUJI-KU	F1	58	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PERIN	F1	80.52	—	Unverified
2	HUJI-KU	F1	45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PERIN	F1	80.23	—	Unverified
2	HUJI-KU	F1	52	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PERIN	F1	94.16	—	Unverified
2	HUJI-KU	F1	63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PERIN	F1	89.83	—	Unverified
2	HUJI-KU	F1	62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PERIN	F1	92.73	—	Unverified
2	HUJI-KU	F1	80	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PERIN	F1	89.19	—	Unverified
2	HUJI-KU	F1	54	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAPEX-Large	Denotation Accuracy	74.5	—	Unverified
2	TAPAS-Large	Accuracy	67.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PERIN	F1	76.4	—	Unverified
2	HUJI-KU	F1	73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PERIN	F1	81.01	—	Unverified
2	HUJI-KU	F1	75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HSP	EM	66.18	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ReasonBERTR	F1 Score	41.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MeMCE	Exact	40.3	—	Unverified