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 341–350 of 639 papers

TitleStatusHype
Active Learning amidst Logical KnowledgeCode0
Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic MapsCode0
Optimizing for Measure of Performance in Max-Margin Parsing—0
Structured Prediction via Learning to Search under Bandit Feedback—0
Syntax Aware LSTM model for Semantic Role Labeling—0
Boosting Information Extraction Systems with Character-level Neural Networks and Free Noisy Supervision—0
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation—0
Semi-supervised Structured Prediction with Neural CRF AutoencoderCode0
End-to-End Neural Relation Extraction with Global Optimization—0
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified