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Structured Prediction

170 directly classified papers

Papers per year

Papers

Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport ACL 2023
UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction ACL 2023
A Sequence-to-Sequence&Set Model for Text-to-Table Generation ACL 2023
A Pilot Study on Dialogue-Level Dependency Parsing for Chinese ACL 2023
Decomposed scoring of CCG dependencies ACL 2023
Structured Prediction with Stronger Consistency Guarantees NIPS 2023
Sparse Non-Local CRF CVPR 2022
Combining (Second-Order) Graph-Based and Headed-Span-Based Projective Dependency Parsing ACL 2022
Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference AAAI 2022
Pythoneers at WANLP 2022 Shared Task: Monolingual AraBERT for Arabic Propaganda Detection and Span Extraction EMNLP 2022
Moment Distributionally Robust Tree Structured Prediction NIPS 2022
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field EMNLP 2022
Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs NIPS 2022
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training EMNLP 2022
FastDOG: Fast Discrete Optimization on GPU CVPR 2022
Truncated Matrix Power Iteration for Differentiable DAG Learning NIPS 2022
Structured Energy Network As a Loss NIPS 2022
Semantic Probabilistic Layers for Neuro-Symbolic Learning NIPS 2022
Learning with Algorithmic Supervision via Continuous Relaxations NIPS 2021
Skipping the Frame-Level: Event-Based Piano Transcription With Neural Semi-CRFs NIPS 2021
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor ACL 2021
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks AAAI 2021
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition ACL 2021
Differentiable Inductive Logic Programming for Structured Examples AAAI 2021
Comparing learnability of two dependency schemes: ‘semantic’ (UD) and ‘syntactic’ (SUD) EMNLP 2021