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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 601–625 of 1202 papers

Title	Date	Tasks	Status
Semantic Frame Identification with Distributed Word Representations	Jun 1, 2014	Semantic ParsingSemantic Role Labeling	—Unverified
Semantic Frame Parsing for Information Extraction : the CALOR corpus	Dec 19, 2018	Semantic Frame ParsingSemantic Parsing	—Unverified
Semantic Frames and Visual Scenes: Learning Semantic Role Inventories from Image and Video Descriptions	Aug 1, 2017	ClusteringSemantic Parsing	—Unverified
Semantic Framework for Comparison Structures in Natural Language	Sep 1, 2015	Open-Domain Question AnsweringQuestion Answering	—Unverified
Semantic Graph Parsing with Recurrent Neural Network DAG Grammars	Sep 30, 2019	DRS ParsingSemantic Parsing	—Unverified
Semantic Kernels for Semantic Parsing	Oct 1, 2014	Semantic ParsingSemantic Textual Similarity	—Unverified
Semantic Operator Prediction and Applications	Jan 1, 2023	POSPrediction	—Unverified
Semantic Parsing as Machine Translation	Aug 1, 2013	Language ModellingMachine Translation	—Unverified
Semantic Parsing for Complex Data Retrieval: Targeting Query Plans vs. SQL for No-Code Access to Relational Databases	Dec 22, 2023	RetrievalSemantic Parsing	—Unverified
Semantic Parsing for English as a Second Language	Jul 1, 2020	Grammatical Error CorrectionLanguage Acquisition	—Unverified
Semantic Parsing for Planning Goals as Constrained Combinatorial Contextual Bandits	Jan 16, 2022	Multi-Armed BanditsSemantic Parsing	—Unverified
Semantic Parsing for Single-Relation Question Answering	Jun 1, 2014	Open-Domain Question AnsweringQuestion Answering	—Unverified
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations	Oct 18, 2018	Constituency ParsingSemantic Parsing	—Unverified
Semantic Parsing for Technical Support Questions	Aug 1, 2018	Information RetrievalRetrieval	—Unverified
Semantic Parsing for Text to 3D Scene Generation	Jun 1, 2014	Common Sense ReasoningScene Generation	—Unverified
Semantic Parsing for Textual Entailment	Jul 1, 2015	Dependency ParsingNatural Language Inference	—Unverified
Semantic Parsing Freebase: Towards Open-domain Semantic Parsing	Jun 1, 2013	Semantic Parsing	—Unverified
Semantic Parsing in Limited Resource Conditions	Sep 14, 2023	Active LearningContinual Learning	—Unverified
Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-based Encoder	Sep 9, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
Semantic Parsing Natural Language into Relational Algebra	Jun 25, 2021	Semantic Parsing	—Unverified
Semantic Parsing Natural Language into SPARQL: Improving Target Language Representation with Neural Attention	Mar 12, 2018	Semantic ParsingSentence	—Unverified
Semantic Parsing of Ambiguous Input through Paraphrasing and Verification	Jan 1, 2015	Language ModelingLanguage Modelling	—Unverified
Semantic Parsing of Brief and Multi-Intent Natural Language Utterances	Apr 1, 2021	Semantic Parsing	—Unverified
Semantic Parsing of Colonoscopy Videos with Multi-Label Temporal Networks	Jun 12, 2023	Semantic Parsing	—Unverified
Semantic Parsing of Disfluent Speech	Apr 1, 2021	Semantic Parsing	—Unverified

Show:10 25 50

← PrevPage 25 of 49Next →

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