Structured Prediction
186 papers with code • 1 benchmarks • 6 datasets
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.
Libraries
Use these libraries to find Structured Prediction models and implementations
MNIST
ListOps
CFQ
SciREX
WIKIOG
WBM
Latest papers
Promptly Predicting Structures: The Return of Inference
Can the promise of the prompt-based paradigm be extended to such structured outputs?
Lazy-k: Decoding for Constrained Token Classification
We explore the possibility of improving probabilistic models in structured prediction.
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning
Unfortunately, this requires formatting them into specialized augmented format unknown to the base pretrained language model (PLMs) necessitating finetuning to the target format.
SpEL: Structured Prediction for Entity Linking
shavarani/spel
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Entity linking is a prominent thread of research focused on structured data creation by linking spans of text to an ontology or knowledge source.
A Unified View of Evaluation Metrics for Structured Prediction
We present a conceptual framework that unifies a variety of evaluation metrics for different structured prediction tasks (e. g. event and relation extraction, syntactic and semantic parsing).
Contextual Label Projection for Cross-Lingual Structured Prediction
pluslabnlp/clap
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Label projection, which involves obtaining translated labels and texts jointly, is essential for leveraging machine translation to facilitate cross-lingual transfer in structured prediction tasks.
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres
zjunlp/speech
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Event-centric structured prediction involves predicting structured outputs of events.
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
ZubinGou/multi-view-prompting
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Generative methods greatly promote aspect-based sentiment analysis via generating a sequence of sentiment elements in a specified format.
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training
To address this challenge, we adopt an error estimator to adaptively decide the partial selection ratio according to the current model's capability.
RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing
Reaction diagram parsing is the task of extracting reaction schemes from a diagram in the chemistry literature.
