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 451500 of 1202 papers

TitleStatusHype
SPaR.txt, a cheap Shallow Parsing approach for Regulatory textsCode0
Towards Theme Detection in Personal Finance Questions0
Self-Attentive Constituency Parsing for UCCA-based Semantic Parsing0
Compositional generalization in semantic parsing with pretrained transformersCode0
Self-Enhancing Multi-filter Sequence-to-Sequence Model0
Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing0
Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed SpeechCode0
RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsing0
Sister Help: Data Augmentation for Frame-Semantic Role LabelingCode0
Total Recall: a Customized Continual Learning Method for Neural Semantic ParsersCode0
Graph-Based Decoding for Task Oriented Semantic Parsing0
Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data0
Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-based Encoder0
Memory-Based Semantic ParsingCode0
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional GeneralizationCode0
Corpus Creation and Language Identification in Low-Resource Code-Mixed Telugu-English Text0
Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs0
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants0
Kicktionary-LOME: A Domain-Specific Multilingual Frame Semantic Parsing Model for Football Language0
Making Transformers Solve Compositional Tasks0
Tiny Neural Models for Seq2SeqCode0
Relation Aware Semi-autoregressive Semantic Parsing for NL2SQL0
Joint Multi-Decoder Framework with Hierarchical Pointer Network for Frame Semantic Parsing0
Knowledge Informed Semantic Parsing for Conversational Question Answering0
Incorporating Compositionality and Morphology into End-to-End Models0
Value-Agnostic Conversational Semantic Parsing0
Grammar-Constrained Neural Semantic Parsing with LR Parsers0
ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question AnsweringCode0
A Knowledge-Guided Framework for Frame Identification0
Learning Algebraic Recombination for Compositional GeneralizationCode0
Enforcing Consistency in Weakly Supervised Semantic ParsingCode0
Assessing Data Efficiency in Task-Oriented Semantic Parsing0
Draw Me a Flower: Processing and Grounding Abstraction in Natural Language0
Semantic Parsing Natural Language into Relational Algebra0
Error-Aware Interactive Semantic Parsing of OpenStreetMap0
The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification0
End-to-End Cross-Domain Text-to-SQL Semantic Parsing with Auxiliary Task0
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding0
One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets0
A Globally Normalized Neural Model for Semantic Parsing0
Multilingual Neural Semantic Parsing for Low-Resourced LanguagesCode0
X2Parser: Cross-Lingual and Cross-Domain Framework for Task-Oriented Compositional Semantic ParsingCode0
Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL0
Translational Symmetry-Aware Facade Parsing for 3D Building Reconstruction0
Predicate Representations and Polysemy in VerbNet Semantic ParsingCode0
Universal Discourse Representation Structure Parsing0
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention0
Breeding Fillmore’s Chickens and Hatching the Eggs: Recombining Frames and Roles in Frame-Semantic Parsing0
Intégration de tâches: étiquetage morpho-syntaxique, analyse syntaxique et analyse sémantique traités comme une tâche unique (Multiple Tasks Integration: Tagging, Syntactic and Semantic Parsing as a Single Task )0
SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual TranslationCode0
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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