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 251300 of 1202 papers

TitleStatusHype
A Unified Framework for Structured Prediction: From Theory to Practice0
Cross-lingual Alignment of Knowledge Graph Triples with Sentences0
A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation0
Evaluation Strategies for Computational Construction Grammars0
Active Dialogue Simulation in Conversational Systems0
Efficient Logical Inference for Semantic Processing0
Efficient techniques for parsing with tree automata0
A Corpus of Preposition Supersenses0
AskYourDB: An end-to-end system for querying and visualizing relational databases using natural language0
DRTS Parsing with Structure-Aware Encoding and Decoding0
Compositional Generalization in Dependency Parsing0
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention0
Compositional Generalization for Natural Language Interfaces to Web APIs0
A Sentence Is Worth a Thousand Pixels0
Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing0
A Joint Sequential and Relational Model for Frame-Semantic Parsing0
Draw Me a Flower: Processing and Grounding Abstraction in Natural Language0
Effectiveness and Efficiency of Open Relation Extraction0
Efficient Zero-Shot Semantic Parsing with Paraphrasing from Pretrained Language Models0
Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering0
Exploring Graph-Algebraic CCG Combinators for Syntactic-Semantic AMR Parsing0
A Semantic Parsing Algorithm to Solve Linear Ordering Problems0
Ar-Spider: Text-to-SQL in Arabic0
Comparing Representations of Semantic Roles for String-To-Tree Decoding0
Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models0
Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing0
Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsing0
A Robust Approach to Aligning Heterogeneous Lexical Resources0
Combining Formal and Distributional Models of Temporal and Intensional Semantics0
Argument structure of adverbial derivatives in Russian0
A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap0
Don't Annotate, but Validate: a Data-to-Text Method for Capturing Event Data0
A Probabilistic-Logic based Commonsense Representation Framework for Modelling Inferences with Multiple Antecedents and Varying Likelihoods0
A Globally Normalized Neural Model for Semantic Parsing0
CraftAssist Instruction Parsing: Semantic Parsing for a Minecraft Assistant0
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing0
Classifying Temporal Relations with Simple Features0
A Pointer Network Architecture for Context-Dependent Semantic Parsing0
CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing0
A constrained graph algebra for semantic parsing with AMRs0
Domain Specific Automatic Question Generation from Text0
Don't Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing0
Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs0
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task0
A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?0
Case-based Reasoning for Natural Language Queries over Knowledge Bases0
A Conditional Random Field-based Traditional Chinese Base Phrase Parser for SIGHAN Bake-off 2012 Evaluation0
Advancing Seq2seq with Joint Paraphrase Learning0
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization0
Domain Adaptation for 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