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Structured Prediction
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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.
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Nested Named Entity Recognition as Single-Pass Sequence Labeling
Multi-domain Multilingual Sentiment Analysis in Industry: Predicting Aspect-based Opinion Quadruples
Structured Prediction with Abstention via the Lovász Hinge
Predicting Through Generation: Why Generation Is Better for Prediction
Volume Optimality in Conformal Prediction with Structured Prediction Sets
A Fenchel-Young Loss Approach to Data-Driven Inverse Optimization
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
Learning Differentiable Surrogate Losses for Structured Prediction
Meaning Typed Prompting: A Technique for Efficient, Reliable Structured Output Generation
Conformal Structured Prediction
Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing
Sigma Flows for Image and Data Labeling and Learning Structured Prediction
Structured Prediction in Online Learning
Deep Sketched Output Kernel Regression for Structured Prediction
To be Continuous, or to be Discrete, Those are Bits of Questions
CF-OPT: Counterfactual Explanations for Structured Prediction
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis
Beyond MLE: Investigating SEARNN for Low-Resourced Neural Machine Translation
Semantic Loss Functions for Neuro-Symbolic Structured Prediction
Leveraging Linguistically Enhanced Embeddings for Open Information Extraction
Trading off Consistency and Dimensionality of Convex Surrogates for the Mode
Structured Language Generation Model for Robust Structure Prediction
Online Structured Prediction with Fenchel--Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss
Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery
Promptly Predicting Structures: The Return of Inference
Lazy-k: Decoding for Constrained Token Classification
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning
SpEL: Structured Prediction for Entity Linking
A Unified View of Evaluation Metrics for Structured Prediction
An Expression Tree Decoding Strategy for Mathematical Equation Generation
"A Tale of Two Movements": Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Prediction
Contextual Label Projection for Cross-Lingual Structured Prediction
MarkovGen: Structured Prediction for Efficient Text-to-Image Generation
Emotion-Conditioned Text Generation through Automatic Prompt Optimization
On Regularization and Inference with Label Constraints
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