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 441–450 of 639 papers

TitleStatusHype
On the Consistency of Max-Margin Losses—0
Measuring and Reducing Model Update Regression in Structured Prediction for NLP—0
Meta-Learning for Few-Shot Named Entity Recognition—0
Metric Learning for Temporal Sequence Alignment—0
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs—0
Minimum-Risk Training of Approximate CRF-Based NLP Systems—0
Modeling Dynamic Relationships Between Characters in Literary Novels—0
Modified Gauss-Newton Algorithms under Noise—0
Multi-agent query reformulation: Challenges and the role of diversity—0
Multi-domain Multilingual Sentiment Analysis in Industry: Predicting Aspect-based Opinion Quadruples—0
Show:102550
← PrevPage 45 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified