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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 611–620 of 639 papers

TitleStatusHype
Optimization Strategies for Online Large-Margin Learning in Machine Translation—0
Findings of the 2012 Workshop on Statistical Machine Translation—0
Unsupervised Learning on an Approximate Corpus—0
Minimum-Risk Training of Approximate CRF-Based NLP Systems—0
Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP—0
Vine Pruning for Efficient Multi-Pass Dependency Parsing—0
Graph-Based Lexicon Expansion with Sparsity-Inducing Penalties—0
Structured Perceptron with Inexact Search—0
Language Classification and Segmentation of Noisy Documents in Hebrew Scripts—0
Large-Margin Learning of Submodular Summarization Models—0
Show:102550
← PrevPage 62 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified