{"total":40,"rows":[{"id":"2409.07146","title":"Gated Slot Attention for Efficient Linear-Time Sequence Modeling","created":"2024-09-11","cited_by_count":76,"area":null},{"id":"2302.06576","title":"GFlowNet-EM for learning compositional latent variable models","created":"2023-02-13","cited_by_count":40,"area":null},{"id":"2109.01135","title":"Sequence-to-Sequence Learning with Latent Neural Grammars","created":"2021-09-02","cited_by_count":30,"area":null},{"id":"2104.13727","title":"PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols","created":"2021-04-28","cited_by_count":22,"area":null},{"id":"2210.08444","title":"Model Criticism for Long-Form Text Generation","created":"2022-10-16","cited_by_count":21,"area":null},{"id":"2105.15021","title":"Neural Bi-Lexicalized PCFG Induction","created":"2021-05-31","cited_by_count":18,"area":null},{"id":"2210.11560","title":"Finding Dataset Shortcuts with Grammar Induction","created":"2022-10-20","cited_by_count":15,"area":null},{"id":"2110.06865","title":"Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments","created":"2021-10-13","cited_by_count":14,"area":null},{"id":"2203.04665","title":"Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing","created":"2022-03-09","cited_by_count":14,"area":null},{"id":"2108.12370","title":"DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning","created":"2021-08-27","cited_by_count":12,"area":null},{"id":"2108.04750","title":"Headed-Span-Based Projective Dependency Parsing","created":"2021-08-10","cited_by_count":11,"area":null},{"id":"2110.10185","title":"GenNI: Human-AI Collaboration for Data-Backed Text Generation","created":"2021-10-19","cited_by_count":11,"area":null},{"id":"2205.00484","title":"Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs","created":"2022-05-01","cited_by_count":10,"area":null},{"id":"2304.14395","title":"string2string: A Modern Python Library for String-to-String Algorithms","created":"2023-04-27","cited_by_count":9,"area":null},{"id":"2211.07906","title":"Hierarchical Phrase-based Sequence-to-Sequence Learning","created":"2022-11-15","cited_by_count":7,"area":null},{"id":"2101.11216","title":"PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation","created":"2021-01-27","cited_by_count":6,"area":null},{"id":"2103.02298","title":"An Empirical Study of Compound PCFGs","created":"2021-03-03","cited_by_count":6,"area":null},{"id":"2103.10682","title":"Masked Conditional Random Fields for Sequence Labeling","created":"2021-03-19","cited_by_count":6,"area":null},{"id":"2107.06360","title":"Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field","created":"2021-07-13","cited_by_count":6,"area":null},{"id":"2201.08214","title":"A Latent-Variable Model for Intrinsic Probing","created":"2022-01-20","cited_by_count":5,"area":null},{"id":"2409.16243","title":"A fast and sound tagging method for discontinuous named-entity recognition","created":"2024-09-24","cited_by_count":4,"area":null},{"id":"2103.05908","title":"DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction","created":"2021-03-10","cited_by_count":3,"area":null},{"id":"2111.01853","title":"Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks","created":"2021-11-02","cited_by_count":3,"area":null},{"id":"2305.02386","title":"Approximating CKY with Transformers","created":"2023-05-03","cited_by_count":3,"area":null},{"id":"2310.14997","title":"Simple Hardware-Efficient PCFGs with Independent Left and Right Productions","created":"2023-10-23","cited_by_count":3,"area":null},{"id":"2112.03638","title":"Scaling Structured Inference with Randomization","created":"2021-12-07","cited_by_count":2,"area":null},{"id":"2205.12621","title":"Unbiased and Efficient Sampling of Dependency Trees","created":"2022-05-25","cited_by_count":2,"area":null},{"id":"2304.14226","title":"TorchBench: Benchmarking PyTorch with High API Surface Coverage","created":"2023-04-27","cited_by_count":2,"area":null},{"id":"2306.10419","title":"Multilingual Multiword Expression Identification Using Lateral Inhibition and Domain Adaptation","created":"2023-06-17","cited_by_count":2,"area":null},{"id":"2308.03291","title":"SynJax: Structured Probability Distributions for JAX","created":"2023-08-07","cited_by_count":2,"area":null},{"id":"2104.00254","title":"Using Python for Model Inference in Deep Learning","created":"2021-04-01","cited_by_count":1,"area":null},{"id":"2109.06966","title":"Searching for More Efficient Dynamic Programs","created":"2021-09-14","cited_by_count":1,"area":null},{"id":"2305.10634","title":"Modified Gauss-Newton Algorithms under Noise","created":"2023-05-18","cited_by_count":1,"area":null},{"id":"2306.02671","title":"Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints","created":"2023-06-05","cited_by_count":1,"area":null},{"id":"2311.18028","title":"Filtered Semi-Markov CRF","created":"2023-11-29","cited_by_count":1,"area":null},{"id":"2110.03866","title":"Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data","created":"2021-10-08","cited_by_count":0,"area":null},{"id":"2304.13134","title":"LAST: Scalable Lattice-Based Speech Modelling in JAX","created":"2023-04-25","cited_by_count":0,"area":null},{"id":"2508.14307","title":"A Joint Multitask Model for Morpho-Syntactic Parsing","created":"2025-08-19","cited_by_count":0,"area":null},{"id":"2604.18780","title":"Streaming Structured Inference with Flash-SemiCRF","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2604.21191","title":"Prefix Parsing is Just Parsing","created":"2026-04-23","cited_by_count":0,"area":null}],"next_cursor":null}