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
A survey of cross-lingual features for zero-shot cross-lingual semantic parsing0
Alto: Rapid Prototyping for Parsing and Translation0
Active Learning for Multilingual Semantic Parser0
Improving Generalization in Semantic Parsing by Increasing Natural Language Variation0
Improving machine translation by training against an automatic semantic frame based evaluation metric0
PMB5: Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarks0
Constructing Large Proposition Databases0
Fully Automatic Semantic MT Evaluation0
Improving Semantic Parsing for Task Oriented Dialog0
Constrained Semantic Forests for Improved Discriminative Semantic Parsing0
A Supervised Semantic Parsing with Lexicon Extension and Syntactic Constraint0
From Treebank Parses to Episodic Logic and Commonsense Inference0
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding0
From Natural Language Instructions to Complex Processes: Issues in Chaining Trigger Action Rules0
A Study on the Integration of Pipeline and E2E SLU systems for Spoken Semantic Parsing toward STOP Quality Challenge0
Alpage: Transition-based Semantic Graph Parsing with Syntactic Features0
From Entity Linking to Question Answering -- Recent Progress on Semantic Grounding Tasks0
Computational linking theory0
Freebase QA: Information Extraction or Semantic Parsing?0
Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings0
A Study of using Syntactic and Semantic Structures for Concept Segmentation and Labeling0
Framework of Semantic Role Assignment based on Extended Lexical Conceptual Structure: Comparison with VerbNet and FrameNet0
Frame Semantics across Languages: Towards a Multilingual FrameNet0
Frame-Semantic Role Labeling with Heterogeneous Annotations0
Compositional Semantic Parsing with Large Language Models0
A Strong Lexical Matching Method for the Machine Comprehension Test0
Aligning Formal Meaning Representations with Surface Strings for Wide-Coverage Text Generation0
Active learning for deep semantic parsing0
Frame-Semantic Parsing0
FLIN: A Flexible Natural Language Interface for Web Navigation0
Compositional Semantic Parsing Across Graphbanks0
A Step-wise Usage-based Method for Inducing Polysemy-aware Verb Classes0
First steps towards a Predicate Matrix0
First approach toward Semantic Role Labeling for Basque0
Compositional pre-training for neural semantic parsing0
Findings from Experiments of On-line Joint Reinforcement Learning of Semantic Parser and Dialogue Manager with real Users0
Compositional Neural Machine Translation by Removing the Lexicon from Syntax0
A Statistical Machine Translation Model with Forest-to-Tree Algorithm for Semantic Parsing0
ALB at SemEval-2018 Task 10: A System for Capturing Discriminative Attributes0
Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs without Real Data Replay0
Few-Shot Semantic Parsing with Language Models Trained On Code0
Few-Shot Semantic Parsing with Language Models Trained On Code0
Assessing Data Efficiency in Task-Oriented Semantic Parsing0
Few-Shot Novel Concept Learning for Semantic Parsing0
Few-shot Multi-hop Question Answering over Knowledge Base0
Compositional Generalization via Semantic Tagging0
A Knowledge-Guided Framework for Frame Identification0
Active Dialogue Simulation in Conversational Systems0
FedParsing: a Semi-Supervised Federated Learning Model on Semantic Parsing0
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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