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 491–500 of 639 papers

TitleStatusHype
Structured Prediction: From Gaussian Perturbations to Linear-Time Principled Algorithms—0
Integrated Inference and Learning of Neural Factors in Structural Support Vector Machines—0
Discriminative Segmental Cascades for Feature-Rich Phone Recognition—0
Convolutional Color ConstancyCode0
Using word embedding for bio-event extraction—0
Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser—0
A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation—0
Plug Latent Structures and Play Coreference Resolution—0
Scalable Large-Margin Structured Learning: Theory and Algorithms—0
Thread-Level Information for Comment Classification in Community Question Answering—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified