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 141–150 of 639 papers

TitleStatusHype
Structured Prediction in NLP -- A survey—0
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP—0
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision—0
Generic Oracles for Structured Prediction—0
Meta-Learning for Few-Shot Named Entity Recognition—0
Constraining Linear-chain CRFs to Regular LanguagesCode0
Identifying and Resolving Annotation Changes for Natural Language Understanding—0
Supervised Neural Clustering via Latent Structured Output Learning: Application to Question IntentsCode0
On the Consistency of Max-Margin Losses—0
Structured Convolutional Kernel Networks for Airline Crew SchedulingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CVAENegative CLL71.8—Unverified