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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.mova.elamur.ai/free/en/docs/papers/narrative-2005-charniak-coarse-fine-n-best-parsing/)

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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. [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)*
4. [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*
5. [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*
6. [From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models](https://arxiv.org/abs/2406.16838) *— 2024 · arXiv:2406.16838*
7. [Generative Verifiers: Reward Modeling as Next-Token Prediction](https://arxiv.org/abs/2408.15240) *— 2024 · arXiv:2408.15240*
8. [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)*
9. [Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory](https://arxiv.org/abs/2305.02437) *— 2023 · arXiv:2305.02437*
10. [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*
11. [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)*
12. [Challenges to Open-Domain Constituency Parsing](https://aclanthology.org/2022.findings-acl.11/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
13. [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)*
14. [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*
15. [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)*
16. [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*
17. [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*
18. [LIMIT-BERT : Linguistics Informed Multi-Task BERT](https://aclanthology.org/2020.findings-emnlp.399/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
19. [The Return of Lexical Dependencies: Neural Lexicalized PCFGs](https://aclanthology.org/2020.tacl-1.42/) *— 2020 · Transactions of the Association for Computational Linguistics*
20. [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)*
21. [Cross-Domain Generalization of Neural Constituency Parsers](https://md.mova.elamur.ai/free/en/docs/papers/acl-2019-fried-cross-domain-generalization-neural-constituency/) *— our card · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
22. [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*
23. [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*
24. [Taking MT Evaluation Metrics to Extremes: Beyond Correlation with Human Judgments](https://aclanthology.org/J19-3004/) *— 2019 · Computational Linguistics*
25. [Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing](https://aclanthology.org/W18-2311/) *— 2018 · Proceedings of the BioNLP 2018 workshop*
26. [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*
27. [Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples](https://md.mova.elamur.ai/free/en/docs/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)*
28. [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)*
29. [Local String Transduction as Sequence Labeling](https://aclanthology.org/C18-1115/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
30. [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)*
31. [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*
32. [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*
33. [Two Local Models for Neural Constituent Parsing](https://aclanthology.org/C18-1011/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
34. [What represents ``style'' in authorship attribution?](https://aclanthology.org/C18-1238/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
35. [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)*
36. [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*
37. [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*
38. [Greedy Transition-Based Dependency Parsing with Stack LSTMs](https://aclanthology.org/J17-2002/) *— 2017 · Computational Linguistics*
39. [Head-Lexicalized Bidirectional Tree LSTMs](https://aclanthology.org/Q17-1012/) *— 2017 · Transactions of the Association for Computational Linguistics*
40. [In-Order Transition-based Constituent Parsing](https://aclanthology.org/Q17-1029/) *— 2017 · Transactions of the Association for Computational Linguistics*
41. [Incorporating Syntactic Uncertainty in Neural Machine Translation with Forest-to-Sequence Model](https://arxiv.org/abs/1711.07019) *— 2017 · arXiv:1711.07019*
42. [NegBio: a high-performance tool for negation and uncertainty detection in radiology reports](https://arxiv.org/abs/1712.05898) *— 2017 · arXiv:1712.05898*
43. [Noise Reduction Methods for Distantly Supervised Biomedical Relation Extraction](https://aclanthology.org/W17-2323/) *— 2017 · Proceedings of the 16th BioNLP Workshop*
44. [Shift-Reduce Constituent Parsing with Neural Lookahead Features](https://aclanthology.org/Q17-1004/) *— 2017 · Transactions of the Association for Computational Linguistics*
45. [Survey: Multiword Expression Processing: A Survey](https://aclanthology.org/J17-4005/) *— 2017*
46. [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)*
47. [Transition-Based Generation from Abstract Meaning Representations](https://arxiv.org/abs/1707.07591) *— 2017 · arXiv:1707.07591*
48. [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)*
49. [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*
50. [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*
51. [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*
52. [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)*
53. [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*
54. [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*
55. [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*
56. [Integrating Selectional Constraints and Subcategorization Frames in a Dependency Parser](https://aclanthology.org/J16-1002/) *— 2016 · Computational Linguistics*
57. [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)*
58. [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*
59. [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*
60. [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*
61. [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)*
62. [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)*
63. [Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing](https://aclanthology.org/W16-6625/) *— 2016 · Proceedings of the 9th International Natural Language Generation conference*
64. [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)*
65. [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*
66. [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)*
67. [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*
68. [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*
69. [A Primer on Neural Network Models for Natural Language Processing](https://arxiv.org/abs/1510.00726) *— 2015 · arXiv:1510.00726*
70. [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)*
71. [A Statistical Parsing Framework for Sentiment Classification](https://aclanthology.org/J15-2004/) *— 2015 · Computational Linguistics*
72. [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*
73. [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)*
74. [CODRA: A Novel Discriminative Framework for Rhetorical Analysis](https://aclanthology.org/J15-3002/) *— 2015 · Computational Linguistics*
75. [CimS - The CIS and IMS Joint Submission to WMT 2015 addressing morphological and syntactic differences in English to German SMT](https://aclanthology.org/W15-3007/) *— 2015 · Proceedings of the Tenth Workshop on Statistical Machine Translation*
76. [Discriminative Unsupervised Alignment of Natural Language Instructions with Corresponding Video Segments](https://aclanthology.org/N15-1017/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
77. [Diversity in Spectral Learning for Natural Language Parsing](https://aclanthology.org/D15-1214/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
78. [Domain Adaptation for Dependency Parsing via Self-Training](https://aclanthology.org/W15-2201/) *— 2015 · Proceedings of the 14th International Conference on Parsing Technologies*
79. [End-to-end learning of semantic role labeling using recurrent neural networks](https://aclanthology.org/P15-1109/) *— 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)*
80. [Enhancing function word translation with syntax-based statistical post-editing](https://md.mova.elamur.ai/free/en/docs/papers/richardson-2015-enhancing-function-word-translation-syntax/) *— our card · 2015 · Proceedings of the 6th Workshop on Patent and Scientific Literature Translation*
81. [Feature Optimization for Constituent Parsing via Neural Networks](https://aclanthology.org/P15-1110/) *— 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)*
82. [Identifying Cascading Errors using Constraints in Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2015-ng-identifying-cascading-errors-constraints-dependency/) *— our card · 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)*
83. [Improving distant supervision using inference learning](https://aclanthology.org/P15-2045/) *— 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)*
84. [KyotoEBMT System Description for the 2nd Workshop on Asian Translation](https://aclanthology.org/W15-5006/) *— 2015 · Proceedings of the 2nd Workshop on Asian Translation (WAT2015)*
85. [Neural CRF Parsing](https://aclanthology.org/P15-1030/) *— 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)*
86. [Optimal Shift-Reduce Constituent Parsing with Structured Perceptron](https://aclanthology.org/P15-1148/) *— 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)*
87. [Oracle and Human Baselines for Native Language Identification](https://aclanthology.org/W15-0620/) *— 2015 · Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications*
88. [Parsing Paraphrases with Joint Inference](https://aclanthology.org/P15-1118/) *— 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)*
89. [Parsing as Reduction](https://aclanthology.org/P15-1147/) *— 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)*
90. [SemEval-2015 Task 15: A CPA dictionary-entry-building task](https://aclanthology.org/S15-2053/) *— 2015 · Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)*
91. [Template Kernels for Dependency Parsing](https://aclanthology.org/N15-1163/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
92. [The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization](https://aclanthology.org/D15-1137/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
93. [Transforming Dependencies into Phrase Structures](https://aclanthology.org/N15-1080/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
94. [Transition-based Neural Constituent Parsing](https://aclanthology.org/P15-1113/) *— 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)*
95. [Unsupervised Dependency Parsing: Let''s Use Supervised Parsers](https://aclanthology.org/N15-1067/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
96. [ezDI: A Supervised NLP System for Clinical Narrative Analysis](https://aclanthology.org/S15-2071/) *— 2015 · Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)*
97. [Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing](https://aclanthology.org/P14-1043/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
98. [An Empirical Comparison of Parsing Methods for Stanford Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/enud-2014-kong-empirical-comparison-parsing-methods-stanford/) *— our card · 2014 · arXiv:1404.4314*
99. [Boosting the creation of a treebank](https://aclanthology.org/L14-1218/) *— 2014 · Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)*
100. [CimS – The CIS and IMS joint submission to WMT 2014 translating from English into German](https://aclanthology.org/W14-3305/) *— 2014 · Proceedings of the Ninth Workshop on Statistical Machine Translation*

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