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 301–325 of 639 papers

TitleStatusHype
Part-Based Visual Tracking with Online Latent Structural Learning—0
Partial Inference in Structured Prediction—0
Partially Observed Maximum Entropy Discrimination Markov Networks—0
Perceptron-like Algorithms and Generalization Bounds for Learning to Rank—0
Personalized Bundle List Recommendation—0
Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing—0
P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization—0
Pixel Objectness—0
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos—0
Plug Latent Structures and Play Coreference Resolution—0
Portuguese Named Entity Recognition using Conditional Random Fields and Local Grammars—0
Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints—0
Pre- and In-Parsing Models for Neural Empty Category Detection—0
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction—0
Predicting deliberative outcomes—0
Predicting deliberative outcomes—0
Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP—0
Predicting Through Generation: Why Generation Is Better for Prediction—0
Predictive Inference with Weak Supervision—0
Priberam: A Turbo Semantic Parser with Second Order Features—0
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing—0
Proceedings of the Third Workshop on Structured Prediction for NLP—0
Proceedings of the Workshop on Structured Prediction for NLP—0
Prompting Language Models for Linguistic Structure—0
Prototypical Bregman Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified