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
An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views—0
An open-source tool for negation detection: a maximum-margin approach—0
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning—0
Approximate Inference in Structured Instances with Noisy Categorical Observations—0
A Practical Perspective on Latent Structured Prediction for Coreference Resolution—0
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction—0
A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials—0
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields—0
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection—0
Aspect Based Sentiment Analysis using Sentiment Flow with Local and Non-local Neighbor Information—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified