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 701750 of 1202 papers

TitleStatusHype
Good-Enough Compositional Data AugmentationCode0
Learning Programmatic Idioms for Scalable Semantic Parsing0
CraftAssist Instruction Parsing: Semantic Parsing for a Minecraft Assistant0
Unsupervised Person Image Generation with Semantic Parsing TransformationCode0
An Improved Coarse-to-Fine Method for Solving Generation Tasks0
A Pointer Network Architecture for Context-Dependent Semantic Parsing0
Domain Adaptation for Low-Resource Neural Semantic Parsing0
Neural Program Planner for Structured Predictions0
A Type-coherent, Expressive Representation as an Initial Step to Language Understanding0
Content Differences in Syntactic and Semantic RepresentationsCode0
HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing0
Practical Semantic Parsing for Spoken Language Understanding0
SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA0
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over ParagraphsCode0
Learning to Generalize from Sparse and Underspecified RewardsCode0
Improving Semantic Parsing for Task Oriented Dialog0
Table2answer: Read the database and answer without SQLCode0
Debugging Frame Semantic Role Labeling0
Sentence Rewriting for Semantic Parsing0
Building a Neural Semantic Parser from a Domain Ontology0
Semantic Frame Parsing for Information Extraction : the CALOR corpus0
Transferable Natural Language Interface to Structured Queries aided by Adversarial Generation0
A Survey on Semantic Parsing0
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge BaseCode0
Counterfactual Learning from Human Proofreading Feedback for Semantic ParsingCode0
QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships0
A Grammar-Based Structural CNN Decoder for Code GenerationCode0
Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters0
A Multi-layer LSTM-based Approach for Robot Command Interaction Modeling0
Neural sentence generation from formal semantics0
Developing Production-Level Conversational Interfaces with Shallow Semantic Parsing0
Semantic role labeling tools for biomedical question answering: a study of selected tools on the BioASQ datasets0
LIA: A Natural Language Programmable Personal Assistant0
Interactive Instance-based Evaluation of Knowledge Base Question AnsweringCode0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations0
Simple and Effective Text Simplification Using Semantic and Neural Methods0
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL TaskCode0
Semantic Structural Evaluation for Text SimplificationCode0
Semantics as a Foreign Language0
Grounding language acquisition by training semantic parsers using captioned videos0
DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers0
Knowledge Base Question Answering via Encoding of Complex Query GraphsCode0
Generating Syntactic Paraphrases0
Cross-lingual Decompositional Semantic Parsing0
Supervised Clustering of Questions into Intents for Dialog System Applications0
Better Transition-Based AMR Parsing with a Refined Search Space0
Automatically Detecting the Position and Type of Psychiatric Evaluation Report Sections0
Translating a Math Word Problem to a Expression Tree0
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task0
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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