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
Squibs: Arc-Eager Parsing with the Tree Constraint—0
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
Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding—0
Tagging The Web: Building A Robust Web Tagger with Neural Network—0
Tell Me What You See and I will Show You Where It Is—0
Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models—0
Experiments with crowdsourced re-annotation of a POS tagging data set—0
Bayesian Kernel Methods for Natural Language Processing—0
A Discriminative Graph-Based Parser for the Abstract Meaning Representation—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
Locally Non-Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization—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
SpeedMachines: Anytime Structured Prediction—0
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction—0
Learning Adaptive Value of Information for Structured Prediction—0
Latent Structured Active Learning—0
Learning Stochastic Feedforward Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified