SOTAVerified

Structured Prediction

Structured Prediction is an area of machine learning focusing on representations of spaces with combinatorial structure, and algorithms for inference and parameter estimation over these structures. Core methods include both tractable exact approaches like dynamic programming and spanning tree algorithms as well as heuristic techniques such as linear programming relaxations and greedy search.

Source: Torch-Struct: Deep Structured Prediction Library

Papers

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Showing 431–440 of 639 papers

TitleStatusHype
Sequence-based Structured Prediction for Semantic Parsing—0
SHEF-MIME: Word-level Quality Estimation Using Imitation Learning—0
A Probabilistic Generative Grammar for Semantic ParsingCode0
Slack and Margin Rescaling as Convex Extensions of Supermodular FunctionsCode0
Semi-supervised structured output prediction by local linear regression and sub-gradient descent—0
Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction—0
Stochastic Structured Prediction under Bandit FeedbackCode0
Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients—0
CLIP@UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search—0
Closed-Form Training of Mahalanobis Distance for Supervised Clustering—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified