Semantic Parsing
State-of-the-art leaderboards
| Trend | Dataset | Best Method | Paper title | Paper | Code | Compare |
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Greatest papers with code
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
CVPR 2017
• charlesq34/pointnet
• 
Point cloud is an important type of geometric data structure.
#2 best model for
Scene Segmentation
on ScanNet
3D PART SEGMENTATION OBJECT CLASSIFICATION SCENE SEGMENTATION SEMANTIC PARSING
The Natural Language Decathlon: Multitask Learning as Question Answering
ICLR 2019
• salesforce/decaNLP
• 
Though designed for decaNLP, MQAN also achieves state of the art results on the WikiSQL semantic parsing task in the single-task setting.
DOMAIN ADAPTATION MACHINE TRANSLATION NAMED ENTITY RECOGNITION (NER) NATURAL LANGUAGE INFERENCE QUESTION ANSWERING RELATION EXTRACTION SEMANTIC PARSING SEMANTIC ROLE LABELING SENTIMENT ANALYSIS TEXT CLASSIFICATION TRANSFER LEARNING
SLING: A framework for frame semantic parsing
We describe SLING, a framework for parsing natural language into semantic frames.
NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System
LREC 2018
• TellinaTool/nl2bash
•
We present new data and semantic parsing methods for the problem of mapping English sentences to Bash commands (NL2Bash).
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
NeurIPS 2018
• crazydonkey200/neural-symbolic-machines
•
We present Memory Augmented Policy Optimization (MAPO), a simple and novel way to leverage a memory buffer of promising trajectories to reduce the variance of policy gradient estimate.
COMBINATORIAL OPTIMIZATION PROGRAM SYNTHESIS SEMANTIC PARSING STRUCTURED PREDICTION
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
We define a new complex and cross-domain semantic parsing and text-to-SQL task where different complex SQL queries and databases appear in train and test sets.
SOTA for Semantic Parsing on spider
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
We present TRANX, a transition-based neural semantic parser that maps natural language (NL) utterances into formal meaning representations (MRs).
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
ACL 2018
• pcyin/tranX
•
Semantic parsing is the task of transducing natural language (NL) utterances into formal meaning representations (MRs), commonly represented as tree structures.