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 601–639 of 639 papers

TitleStatusHype
Manhattan Junction Catalogue for Spatial Reasoning of Indoor Scenes—0
Parsing Models for Identifying Multiword Expressions—0
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction—0
O Reconhecimento de Entidades Nomeadas por meio de Conditional Random Fields para a L\' Portuguesa (Named Entity Recognition with Conditional Random Fields for the Portuguese Language) [in Portuguese]—0
A Joint Phrasal and Dependency Model for Paraphrase Alignment—0
Cocktail Party Processing via Structured Prediction—0
Blending Learning and Inference in Structured Prediction—0
Parse, Price and Cut---Delayed Column and Row Generation for Graph Based Parsers—0
Forest Reranking through Subtree Ranking—0
On Amortizing Inference Cost for Structured Prediction—0
Utilizing Dependency Language Models for Graph-based Dependency Parsing Models—0
Findings of the 2012 Workshop on Statistical Machine Translation—0
Vine Pruning for Efficient Multi-Pass Dependency Parsing—0
Structured Perceptron with Inexact Search—0
Minimum-Risk Training of Approximate CRF-Based NLP Systems—0
Unsupervised Learning on an Approximate Corpus—0
Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP—0
Graph-Based Lexicon Expansion with Sparsity-Inducing Penalties—0
Optimization Strategies for Online Large-Margin Learning in Machine Translation—0
Large-Margin Learning of Submodular Summarization Models—0
Language Classification and Segmentation of Noisy Documents in Hebrew Scripts—0
Book Review: Linguistic Structure Prediction by Noah A. Smith—0
Object Detection with Grammar Models—0
Maximum Margin Multi-Label Structured Prediction—0
Efficient Multi-Template Learning for Structured Prediction—0
Energy Disaggregation via Discriminative Sparse Coding—0
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces—0
Direct Loss Minimization for Structured Prediction—0
Sidestepping Intractable Inference with Structured Ensemble Cascades—0
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction—0
An Introduction to Conditional Random Fields—0
Twin gaussian processes for structured prediction—0
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields—0
Search-based Structured Prediction—0
Structured ranking learning using cumulative distribution networks—0
Tighter Bounds for Structured Estimation—0
Partially Observed Maximum Entropy Discrimination Markov Networks—0
Robust Near-Isometric Matching via Structured Learning of Graphical Models—0
Efficient multiple hyperparameter learning for log-linear models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified