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 321–330 of 639 papers

TitleStatusHype
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
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators—0
Prune-and-Score: Learning for Greedy Coreference Resolution—0
Query-Adaptive Predictive Inference with Partial Labels—0
Randomized Deep Structured Prediction for Discourse-Level Processing—0
Recognizing Salient Entities in Shopping Queries—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified