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 201250 of 1202 papers

TitleStatusHype
SpCQL: A Semantic Parsing Dataset for Converting Natural Language into CypherCode1
AskYourDB: An end-to-end system for querying and visualizing relational databases using natural language0
UniRPG: Unified Discrete Reasoning over Table and Text as Program GenerationCode1
Bootstrapping Multilingual Semantic Parsers using Large Language Models0
CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing0
Benchmarking Long-tail Generalization with Likelihood SplitsCode0
Translate First Reorder Later: Leveraging Monotonicity in Semantic ParsingCode0
Compositional Generalisation with Structured Reordering and Fertility LayersCode0
Binding Language Models in Symbolic LanguagesCode2
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing0
Neural-Symbolic Recursive Machine for Systematic Generalization0
Text-to-Text Extraction and Verbalization of Biomedical Event GraphsCode1
Transparent Semantic Parsing with Universal Dependencies Using Graph TransformationsCode0
Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning0
Transferring Knowledge from Structure-aware Self-attention Language Model to Sequence-to-Sequence Semantic Parsing0
融合知识的多目标词联合框架语义分析模型(Knowledge-integrated Joint Model For Multi-target Frame Semantic Parsing)0
Data Synthesis and Iterative Refinement for Neural Semantic Parsing without Annotated Logical Forms0
Compositional Semantic Parsing with Large Language Models0
Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing0
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding0
Meta-Learning a Cross-lingual Manifold for Semantic ParsingCode0
CAE: Mechanism to Diminish the Class Imbalanced in SLU Slot Filling TaskCode0
T5QL: Taming language models for SQL generation0
Knowledge Base Question Answering: A Semantic Parsing Perspective0
Reducing Model Churn: Stable Re-training of Conversational AgentsCode0
GRILLBot: An Assistant for Real-World Tasks with Neural Semantic Parsing and Graph-Based Representations0
A Survey on Table Question Answering: Recent Advances0
Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge BaseCode0
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question AnsweringCode1
TurkishDelightNLP: A Neural Turkish NLP ToolkitCode0
Scene Graph Parsing via Abstract Meaning Representation in Pre-trained Language Models0
OPERA: Operation-Pivoted Discrete Reasoning over TextCode0
Logical Story Representations via FrameNet + Semantic Parsing0
Interactive Learning from Natural Language and Demonstrations using Signal Temporal Logic0
STOP: A dataset for Spoken Task Oriented Semantic ParsingCode0
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic ParsingCode1
A Double-Graph Based Framework for Frame Semantic ParsingCode0
Cross-lingual AMR Aligner: Paying Attention to Cross-AttentionCode0
Transition-based Abstract Meaning Representation Parsing with Contextual Embeddings0
Cross-TOP: Zero-Shot Cross-Schema Task-Oriented Parsing0
Multilingual Abstract Meaning Representation for Celtic Languages0
The Robotic Surgery Procedural FramebankCode0
Universal Semantic Annotator: the First Unified API for WSD, SRL and Semantic Parsing0
Makadi: A Large-Scale Human-Labeled Dataset for Hindi Semantic Parsing0
Un algorithme d’analyse sémantique fondée sur les graphes via le problème de l’arborescence généralisée couvrante (A graph-based semantic parsing algorithm via the generalized spanning arborescence problem)0
Prompt Injection: Parameterization of Fixed InputsCode1
Transformer with Tree-order Encoding for Neural Program GenerationCode0
Semantic Parsing of Interpage Relations0
TAGPRIME: A Unified Framework for Relational Structure ExtractionCode0
GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate RepresentationCode1
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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