---
title: "Who cites Coarse-to-Fine n-Best Parsing and MaxEnt…"
description: "The papers of the Elamur Research library that cite «Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/narrative-2005-charniak-coarse-fine-n-best-parsing/cited-by/"
---
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# Who cites «Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking»

440 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/narrative-2005-charniak-coarse-fine-n-best-parsing/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/narrative-2005-charniak-coarse-fine-n-best-parsing/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/narrative-2005-charniak-coarse-fine-n-best-parsing/cited-by/page/3/) · [4](https://md.research.elamur.ai/free/en/papers/narrative-2005-charniak-coarse-fine-n-best-parsing/cited-by/page/4/) · [5](https://md.research.elamur.ai/free/en/papers/narrative-2005-charniak-coarse-fine-n-best-parsing/cited-by/page/5/)

1. [Creating a High Quality Abstract Meaning Representation Dataset Automatically](https://aclanthology.org/2026.lrec-1.932/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models](https://aclanthology.org/2026.acl-long.358/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [PiCSAR: Probabilistic Confidence Selection and Ranking for Reasoning Chains](https://aclanthology.org/2026.findings-acl.1577/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
4. [RPI Team at SemEval-2026 Task 3: An LLM-Encoder Ensemble for Coarse-to-Fine Valence-Arousal Sentiment Prediction](https://aclanthology.org/2026.semeval-1.403/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
5. [What Makes Good Multilingual Reasoning? Disentangling Traces with Measurable Features](https://arxiv.org/abs/2604.04720) *— 2026 · arXiv:2604.04720*
6. [A Bayesian Optimization Approach to Machine Translation Reranking](https://aclanthology.org/2025.naacl-long.145/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
7. [Examining False Positives under Inference Scaling for Mathematical Reasoning](https://aclanthology.org/2025.emnlp-main.632/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
8. [Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation](https://arxiv.org/abs/2410.02725) *— 2024 · arXiv:2410.02725*
9. [From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models](https://arxiv.org/abs/2406.16838) *— 2024 · arXiv:2406.16838*
10. [Generative Verifiers: Reward Modeling as Next-Token Prediction](https://arxiv.org/abs/2408.15240) *— 2024 · arXiv:2408.15240*
11. [Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing](https://aclanthology.org/2024.acl-long.666/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [A Weakly-Supervised Learning Approach to the Identification of “Alternative Lexicalizations” in Shallow Discourse Parsing](https://aclanthology.org/2023.codi-1.8/) *— 2023 · Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023)*
13. [Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory](https://arxiv.org/abs/2305.02437) *— 2023 · arXiv:2305.02437*
14. [Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution](https://aclanthology.org/2023.findings-emnlp.288/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
15. [Can Explanations Be Useful for Calibrating Black Box Models?](https://aclanthology.org/2022.acl-long.429/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [Challenges to Open-Domain Constituency Parsing](https://aclanthology.org/2022.findings-acl.11/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
17. [SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization](https://aclanthology.org/2022.acl-long.309/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [Twist Decoding: Diverse Generators Guide Each Other](https://aclanthology.org/2022.emnlp-main.326/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
19. [A Coarse-to-Fine Labeling Framework for Joint Word Segmentation, POS Tagging, and Constituent Parsing](https://aclanthology.org/2021.conll-1.23/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
20. [Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction](https://aclanthology.org/2021.sigmorphon-1.22/) *— 2021 · Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*
21. [Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition](https://aclanthology.org/2021.cl-1.7/) *— 2021 · Computational Linguistics*
22. [Discriminative Reranking for Neural Machine Translation](https://aclanthology.org/2021.acl-long.563/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
23. [LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer](https://aclanthology.org/2021.findings-acl.344/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
24. [Neural Combinatory Constituency Parsing](https://aclanthology.org/2021.findings-acl.194/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
25. [Stylistic approaches to predicting Reddit popularity in diglossia](https://aclanthology.org/2021.acl-srw.10/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop*
26. [A Streaming Approach For Efficient Batched Beam Search](https://aclanthology.org/2020.emnlp-main.366/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
27. [Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation](https://aclanthology.org/2020.emnlp-main.157/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
28. [Efficient Constituency Parsing by Pointing](https://aclanthology.org/2020.acl-main.301/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
29. [LIMIT-BERT : Linguistics Informed Multi-Task BERT](https://aclanthology.org/2020.findings-emnlp.399/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
30. [Neural Reranking for Dependency Parsing: An Evaluation](https://aclanthology.org/2020.acl-main.379/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
31. [The Return of Lexical Dependencies: Neural Lexicalized PCFGs](https://aclanthology.org/2020.tacl-1.42/) *— 2020 · Transactions of the Association for Computational Linguistics*
32. [Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders](https://aclanthology.org/2020.emnlp-main.392/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
33. [Cross-Domain Generalization of Neural Constituency Parsers](https://md.research.elamur.ai/free/en/papers/acl-2019-fried-cross-domain-generalization-neural-constituency/) *— our card · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
34. [Enhancing biomedical word embeddings by retrofitting to verb clusters](https://aclanthology.org/W19-5014/) *— 2019 · Proceedings of the 18th BioNLP Workshop and Shared Task*
35. [Head-Driven Phrase Structure Grammar Parsing on Penn Treebank](https://aclanthology.org/P19-1230/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
36. [Language Modeling with Shared Grammar](https://aclanthology.org/P19-1437/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
37. [Neural Dependency Parsing of Biomedical Text: TurkuNLP entry in the CRAFT Structural Annotation Task](https://aclanthology.org/D19-5728/) *— 2019 · Proceedings of the 5th Workshop on BioNLP Open Shared Tasks*
38. [Taking MT Evaluation Metrics to Extremes: Beyond Correlation with Human Judgments](https://aclanthology.org/J19-3004/) *— 2019 · Computational Linguistics*
39. [BioAMA: Towards an End to End BioMedical Question Answering System](https://aclanthology.org/W18-2312/) *— 2018 · Proceedings of the BioNLP 2018 workshop*
40. [Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing](https://aclanthology.org/W18-2311/) *— 2018 · Proceedings of the BioNLP 2018 workshop*
41. [Cohesion, Coherence and Temporal Reference from an Experimental Corpus Pragmatics Perspective (Springer, Yearbook of Corpus Linguistics and Pragmatics, 2018)](https://library.oapen.org/handle/20.500.12657/23135) *— 2018 · monograph*
42. [Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples](https://md.research.elamur.ai/free/en/papers/acl-2018-joshi-extending-parser-distant-domains-few/) *— our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [Forest-Based Neural Machine Translation](https://aclanthology.org/P18-1116/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [Le benchmarking de la reconnaissance d'entités nommées pour le français (Benchmarking for French NER)](https://aclanthology.org/2018.jeptalnrecital-court.6/) *— 2018 · Actes de la Conférence TALN. Volume 1 - Articles longs, articles courts de TALN*
45. [Local String Transduction as Sequence Labeling](https://aclanthology.org/C18-1115/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
46. [Straight to the Tree: Constituency Parsing with Neural Syntactic Distance](https://aclanthology.org/P18-1108/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [Toward Fast and Accurate Neural Discourse Segmentation](https://aclanthology.org/D18-1116/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
48. [Treat the system like a human student: Automatic naturalness evaluation of generated text without reference texts](https://aclanthology.org/W18-6512/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
49. [Two Local Models for Neural Constituent Parsing](https://aclanthology.org/C18-1011/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
50. [What represents “style” in authorship attribution?](https://aclanthology.org/C18-1238/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
51. [What's Going On in Neural Constituency Parsers? An Analysis](https://aclanthology.org/N18-1091/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
52. [Addressing Problems across Linguistic Levels in SMT: Combining Approaches to Model Morphology, Syntax and Lexical Choice](https://aclanthology.org/E17-2099/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
53. [An open-source tool for negation detection: a maximum-margin approach](https://aclanthology.org/W17-1810/) *— 2017 · Proceedings of the Workshop Computational Semantics Beyond Events and Roles*
54. [Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers](https://aclanthology.org/D17-1083/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
55. [Greedy Transition-Based Dependency Parsing with Stack LSTMs](https://aclanthology.org/J17-2002/) *— 2017 · Computational Linguistics*
56. [Head-Lexicalized Bidirectional Tree LSTMs](https://aclanthology.org/Q17-1012/) *— 2017 · Transactions of the Association for Computational Linguistics*
57. [In-Order Transition-based Constituent Parsing](https://aclanthology.org/Q17-1029/) *— 2017 · Transactions of the Association for Computational Linguistics*
58. [Incorporating Syntactic Uncertainty in Neural Machine Translation with Forest-to-Sequence Model](https://arxiv.org/abs/1711.07019) *— 2017 · arXiv:1711.07019*
59. [NegBio: a high-performance tool for negation and uncertainty detection in radiology reports](https://arxiv.org/abs/1712.05898) *— 2017 · arXiv:1712.05898*
60. [Noise Reduction Methods for Distantly Supervised Biomedical Relation Extraction](https://aclanthology.org/W17-2323/) *— 2017 · Proceedings of the 16th BioNLP Workshop*
61. [Shift-Reduce Constituent Parsing with Neural Lookahead Features](https://aclanthology.org/Q17-1004/) *— 2017 · Transactions of the Association for Computational Linguistics*
62. [Survey: Multiword Expression Processing: A Survey](https://aclanthology.org/J17-4005/) *— 2017*
63. [TAG Parser Evaluation using Textual Entailments](https://aclanthology.org/W17-6214/) *— 2017 · Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms*
64. [Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation](https://aclanthology.org/K17-1011/) *— 2017 · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)*
65. [Towards String-To-Tree Neural Machine Translation](https://aclanthology.org/P17-2021/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
66. [Transition-Based Generation from Abstract Meaning Representations](https://arxiv.org/abs/1707.07591) *— 2017 · arXiv:1707.07591*
67. [A subtree-based factorization of dependency parsing](https://aclanthology.org/C16-1057/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
68. [CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR Parser](https://aclanthology.org/S16-1181/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
69. [Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors](https://aclanthology.org/W16-1615/) *— 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP*
70. [Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016](https://aclanthology.org/W16-3009/) *— 2016 · Proceedings of the 4th BioNLP Shared Task Workshop*
71. [Deep Neural Networks for Syntactic Parsing of Morphologically Rich Languages](https://aclanthology.org/P16-2093/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
72. [Discontinuity (Re)\texttwosuperior-visited: A Minimalist Approach to Pseudoprojective Constituent Parsing](https://aclanthology.org/W16-0907/) *— 2016 · Proceedings of the Workshop on Discontinuous Structures in Natural Language Processing*
73. [Does String-Based Neural MT Learn Source Syntax?](https://aclanthology.org/D16-1159/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
74. [Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks](https://aclanthology.org/N16-1025/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
75. [Extraction de relations temporelles dans des dossiers électroniques patient (Extracting Temporal Relations from Electronic Health Records)](https://aclanthology.org/2016.jeptalnrecital-poster.19/) *— 2016 · Actes de la conférence conjointe JEP-TALN-RECITAL 2016. volume 2 : TALN (Posters)*
76. [Flexible Non-Terminals for Dependency Tree-to-Tree Reordering](https://aclanthology.org/N16-1002/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
77. [Improving Fluency in Narrative Text Generation With Grammatical Transformations and Probabilistic Parsing](https://aclanthology.org/W16-6611/) *— 2016 · Proceedings of the 9th International Natural Language Generation conference*
78. [Insertion Position Selection Model for Flexible Non-Terminals in Dependency Tree-to-Tree Machine Translation](https://aclanthology.org/D16-1247/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
79. [Integrating Selectional Constraints and Subcategorization Frames in a Dependency Parser](https://aclanthology.org/J16-1002/) *— 2016 · Computational Linguistics*
80. [LIMSI-COT at SemEval-2016 Task 12: Temporal relation identification using a pipeline of classifiers](https://aclanthology.org/S16-1175/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
81. [Language Independent Dependency to Constituent Tree Conversion](https://aclanthology.org/C16-1041/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
82. [Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems](https://aclanthology.org/D16-1029/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
83. [N-best Rescoring for Parsing Based on Dependency-Based Word Embeddings](https://aclanthology.org/O16-3002/) *— 2016 · International Journal of Computational Linguistics & Chinese Language Processing, Volume 21, Number 2, December 2016*
84. [Neural Network-Based Abstract Generation for Opinions and Arguments](https://aclanthology.org/N16-1007/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
85. [Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing](https://aclanthology.org/P16-1001/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
86. [Optimizing Spectral Learning for Parsing](https://aclanthology.org/P16-1146/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
87. [Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing](https://aclanthology.org/W16-6625/) *— 2016 · Proceedings of the 9th International Natural Language Generation conference*
88. [Phrase Structure Annotation and Parsing for Learner English](https://aclanthology.org/P16-1173/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [Predicting the Relative Difficulty of Single Sentences With and Without Surrounding Context](https://aclanthology.org/D16-1192/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
90. [RIGA at SemEval-2016 Task 8: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing Accuracy](https://aclanthology.org/S16-1176/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
91. [Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks](https://aclanthology.org/C16-1160/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
92. [Syntactic analyses and named entity recognition for PubMed and PubMed Central –- up-to-the-minute](https://aclanthology.org/W16-2913/) *— 2016 · Proceedings of the 15th Workshop on Biomedical Natural Language Processing*
93. [Training with Exploration Improves a Greedy Stack LSTM Parser](https://aclanthology.org/D16-1211/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
94. [A Primer on Neural Network Models for Natural Language Processing](https://arxiv.org/abs/1510.00726) *— 2015 · arXiv:1510.00726*
95. [A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network](https://aclanthology.org/P15-1112/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
96. [A Statistical Parsing Framework for Sentiment Classification](https://aclanthology.org/J15-2004/) *— 2015 · Computational Linguistics*
97. [An Empirical Analysis of Optimization for Max-Margin NLP](https://aclanthology.org/D15-1032/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
98. [Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers](https://aclanthology.org/P15-2141/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
99. [CKY Parsing with Independence Constraints](https://aclanthology.org/W15-2213/) *— 2015 · Proceedings of the 14th International Conference on Parsing Technologies*
100. [CODRA: A Novel Discriminative Framework for Rhetorical Analysis](https://aclanthology.org/J15-3002/) *— 2015 · Computational Linguistics*

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