SOTAVerified

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

Showing 501550 of 1202 papers

TitleStatusHype
Improving Company Valuations with Automated Knowledge Discovery, Extraction and Fusion0
Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing0
An in-depth look at Euclidean disk embeddings for structure preserving parsing0
A Deep Architecture for Semantic Parsing0
Improving Generalization in Semantic Parsing by Increasing Natural Language Variation0
Improving machine translation by training against an automatic semantic frame based evaluation metric0
Detailed Garment Recovery from a Single-View Image0
Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning0
Improving Semantic Dependency Parsing with Syntactic Features0
Improving Semantic Parsing for Task Oriented Dialog0
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak0
Dependency-based Hybrid Trees for Semantic Parsing0
Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks0
Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases0
An In-Context Schema Understanding Method for Knowledge Base Question Answering0
Deep Semantic Parsing of Freehand Sketches with Homogeneous Transformation, Soft-Weighted Loss, and Staged Learning0
Deep Portrait Delighting0
Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers0
Deep Neural Solver for Math Word Problems0
Deep Neural Network applied to Part-of-Speech Tagging (R\'eseau de neurones profond pour l'\'etiquetage morpho-syntaxique) [in French]0
Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering0
An Improved Coarse-to-Fine Method for Solving Generation Tasks0
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation0
A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers0
Language Generation via DAG Transduction0
Deep Learning on Graphs for Natural Language Processing0
Deep Learning and Continuous Representations for Natural Language Processing0
Deeper syntax for better semantic parsing0
DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers0
Better Transition-Based AMR Parsing with a Refined Search Space0
An implementation of a Latvian resource grammar in Grammatical Framework0
Better Query Graph Selection for Knowledge Base Question Answering0
Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL0
An Extensible Framework for Verification of Numerical Claims0
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation0
Knowledge Extraction and Joint Inference Using Tractable Markov Logic0
Debugging Frame Semantic Role Labeling0
An Exact Dual Decomposition Algorithm for Shallow Semantic Parsing with Constraints0
A Chinese Multi-type Complex Questions Answering Dataset over Wikidata0
DBRouting: Routing End User Queries to Databases for Answerability0
Data Synthesis and Iterative Refinement for Neural Semantic Parsing without Annotated Logical Forms0
Knowledge Base Question Answering: A Semantic Parsing Perspective0
Joint Multi-Decoder Framework with Hierarchical Pointer Network for Frame Semantic Parsing0
Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing0
Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling0
Joint learning of ontology and semantic parser from text0
Because Syntax Does Matter: Improving Predicate-Argument Structures Parsing with Syntactic Features0
Geo-Semantic-Parsing: AI-powered geoparsing by traversing semantic knowledge graphs0
Joint Concept Learning and Semantic Parsing from Natural Language Explanations0
Joint Case Argument Identification for Japanese Predicate Argument Structure Analysis0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ARTEMIS-DAAccuracy (Test)80.8Unverified
2SynTQA (Oracle)Test Accuracy77.5Unverified
3TabLaPAccuracy (Test)76.6Unverified
4SynTQA (GPT)Accuracy (Test)74.4Unverified
5Mix SCAccuracy (Test)73.6Unverified
6SynTQA (RF)Accuracy (Test)71.6Unverified
7CABINETAccuracy (Test)69.1Unverified
8NormTab+TabSQLifyAccuracy (Test)68.63Unverified
9Chain-of-TableAccuracy (Test)67.31Unverified
10Tab-PoTAccuracy (Test)66.78Unverified
#ModelMetricClaimedVerifiedStatus
1RESDSQL-3B + NatSQLAccuracy84.1Unverified
2code-davinci-002 175B (LEVER)Accuracy81.9Unverified
3RASAT+PICARDAccuracy75.5Unverified
4Graphix-3B + PICARDAccuracy74Unverified
5T5-3B + PICARDAccuracy71.9Unverified
6SADGA + GAPAccuracy70.1Unverified
7RATSQL + GAPAccuracy69.7Unverified
8RATSQL + Grammar-Augmented Pre-TrainingAccuracy69.6Unverified
9RATSQL + BERTAccuracy65.6Unverified
10Exact Set MatchingAccuracy19.7Unverified
#ModelMetricClaimedVerifiedStatus
1Dynamic Least-to-Most PromptingExact Match95Unverified
2LeARExact Match90.9Unverified
3T5-3B w/ Intermediate RepresentationsExact Match83.8Unverified
4Hierarchical Poset DecodingExact Match69Unverified
5Universal TransformerExact Match18.9Unverified
#ModelMetricClaimedVerifiedStatus
1ReaRevAccuracy76.4Unverified
2NSM+hAccuracy74.3Unverified
3CBR-KBQAAccuracy70Unverified
4STAGG (Yih et al., 2016)Accuracy63.9Unverified
5T5-11B (Raffel et al., 2020)Accuracy56.5Unverified
#ModelMetricClaimedVerifiedStatus
1CABINETDenotation accuracy (test)89.5Unverified
2TAPEX-Large (weak supervision)Denotation accuracy (test)89.5Unverified
3ReasTAP-Large (weak supervision)Denotation accuracy (test)89.2Unverified
4NL2SQL-BERTAccuracy89Unverified
5TAPAS-Large (weak supervision)Denotation accuracy (test)83.6Unverified
#ModelMetricClaimedVerifiedStatus
1PhraseTransformerAccuracy90.4Unverified
2TranxAccuracy86.2Unverified
3ASN (Rabinovich et al., 2017)Accuracy85.3Unverified
4ZH15 (Zhao and Huang, 2015)Accuracy84.2Unverified
#ModelMetricClaimedVerifiedStatus
1coarse2fineAccuracy88.2Unverified
2PhraseTransformerAccuracy87.9Unverified
3TranxAccuracy87.7Unverified
#ModelMetricClaimedVerifiedStatus
1PERIN + RobeCzechF192.36Unverified
2PERINF192.24Unverified
3HUJI-KUF158Unverified
#ModelMetricClaimedVerifiedStatus
1PERINF180.52Unverified
2HUJI-KUF145Unverified
#ModelMetricClaimedVerifiedStatus
1PERINF180.23Unverified
2HUJI-KUF152Unverified
#ModelMetricClaimedVerifiedStatus
1PERINF194.16Unverified
2HUJI-KUF163Unverified
#ModelMetricClaimedVerifiedStatus
1PERINF189.83Unverified
2HUJI-KUF162Unverified
#ModelMetricClaimedVerifiedStatus
1PERINF192.73Unverified
2HUJI-KUF180Unverified
#ModelMetricClaimedVerifiedStatus
1PERINF189.19Unverified
2HUJI-KUF154Unverified
#ModelMetricClaimedVerifiedStatus
1TAPEX-LargeDenotation Accuracy74.5Unverified
2TAPAS-LargeAccuracy67.2Unverified
#ModelMetricClaimedVerifiedStatus
1PERINF176.4Unverified
2HUJI-KUF173Unverified
#ModelMetricClaimedVerifiedStatus
1PERINF181.01Unverified
2HUJI-KUF175Unverified
#ModelMetricClaimedVerifiedStatus
1HSPEM66.18Unverified
#ModelMetricClaimedVerifiedStatus
1ReasonBERTRF1 Score41.3Unverified
#ModelMetricClaimedVerifiedStatus
1MeMCEExact40.3Unverified