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 551–575 of 639 papers

TitleStatusHype
Linguistic Structured Sparsity in Text Categorization—0
Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features—0
Learning Ensembles of Structured Prediction Rules—0
Gaussian Processes for Natural Language Processing—0
Bayesian Kernel Methods for Natural Language Processing—0
Tagging The Web: Building A Robust Web Tagger with Neural Network—0
Experiments with crowdsourced re-annotation of a POS tagging data set—0
Squibs: Arc-Eager Parsing with the Tree Constraint—0
Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models—0
Tell Me What You See and I will Show You Where It Is—0
Simultaneous Twin Kernel Learning using Polynomial Transformations for Structured Prediction—0
Perceptron-like Algorithms and Generalization Bounds for Learning to Rank—0
A New Framework for Sign Language Recognition based on 3D Handshape Identification and Linguistic Modeling—0
Undirected Machine Translation with Discriminative Reinforcement Learning—0
A Hybrid Loss for Multiclass and Structured Prediction—0
A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing—0
Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM—0
Improved CCG Parsing with Semi-supervised Supertagging—0
Locally Non-Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization—0
SpeedMachines: Anytime Structured Prediction—0
Latent Structured Active Learning—0
Learning Adaptive Value of Information for Structured Prediction—0
Learning Stochastic Feedforward Neural Networks—0
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction—0
On the definition of a general learning system with user-defined operators—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified