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# Who cites «Bagging Predictors»

183 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/breiman-1996-bagging-predictors/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/breiman-1996-bagging-predictors-2/)

1. [A Binary Problem in Binary QA: Diverse LLMs or Diverse Question Interpretations? That Is the Ensembling Question](https://aclanthology.org/2026.lrec-1.400/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [GateNLP at SemEval-2025 Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative Classification](https://aclanthology.org/2025.semeval-1.21/) *— 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)*
3. [Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges](https://arxiv.org/abs/2502.01612) *— 2025 · arXiv:2502.01612*
4. [CoT-based Data Augmentation Strategy for Persuasion Techniques Detection](https://aclanthology.org/2024.semeval-1.190/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
5. [Soft Self-Consistency Improves Language Models Agents](https://aclanthology.org/2024.acl-short.28/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
6. [TAeKD: Teacher Assistant Enhanced Knowledge Distillation for Closed-Source Multilingual Neural Machine Translation](https://aclanthology.org/2024.lrec-main.1350/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
7. [Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing](https://aclanthology.org/2024.acl-long.808/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [Automatic Model Selection with Large Language Models for Reasoning](https://aclanthology.org/2023.findings-emnlp.55/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
9. [Deep Model Fusion: A Survey](https://arxiv.org/abs/2309.15698) *— 2023 · arXiv:2309.15698*
10. [HITS at DISRPT 2023: Discourse Segmentation, Connective Detection, and Relation Classification](https://aclanthology.org/2023.disrpt-1.4/) *— 2023 · Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)*
11. [MGR: Multi-generator Based Rationalization](https://aclanthology.org/2023.acl-long.715/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies](https://aclanthology.org/2023.eacl-main.16/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
13. [Tree Prompting: Efficient Task Adaptation without Fine-Tuning](https://aclanthology.org/2023.emnlp-main.384/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
14. [Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models](https://arxiv.org/abs/2208.03306) *— 2022 · arXiv:2208.03306*
15. [Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification](https://aclanthology.org/2022.wassa-1.22/) *— 2022 · Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis*
16. [Ensemble-based Fine-Tuning Strategy for Temporal Relation Extraction from the Clinical Narrative](https://aclanthology.org/2022.clinicalnlp-1.11/) *— 2022 · Proceedings of the 4th Clinical Natural Language Processing Workshop*
17. [Experimenting with ensembles of pre-trained language models for classification of custom legal datasets](https://aclanthology.org/2022.icnlsp-1.8/) *— 2022 · Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022)*
18. [MTG: A Benchmark Suite for Multilingual Text Generation](https://aclanthology.org/2022.findings-naacl.192/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
19. [Measuring Robustness for NLP](https://aclanthology.org/2022.coling-1.343/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
20. [Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time](https://arxiv.org/abs/2203.05482) *— 2022 · arXiv:2203.05482*
21. [WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories](https://aclanthology.org/2022.wassa-1.20/) *— 2022 · Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis*
22. [Accounting for Variance in Machine Learning Benchmarks](https://arxiv.org/abs/2103.03098) *— 2021 · arXiv:2103.03098*
23. [Ensembling Graph Predictions for AMR Parsing](https://arxiv.org/abs/2110.09131) *— 2021 · arXiv:2110.09131*
24. [Bao: Learning to Steer Query Optimizers](https://arxiv.org/abs/2004.03814) *— 2020 · arXiv:2004.03814*
25. [Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence](https://arxiv.org/abs/2002.04803) *— 2020 · arXiv:2002.04803*
26. [Multi-Unit Transformers for Neural Machine Translation](https://aclanthology.org/2020.emnlp-main.77/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
27. [Reed at SemEval-2020 Task 9: Fine-Tuning and Bag-of-Words Approaches to Code-Mixed Sentiment Analysis](https://aclanthology.org/2020.semeval-1.176/) *— 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation*
28. [MITRE at SemEval-2019 Task 5: Transfer Learning for Multilingual Hate Speech Detection](https://aclanthology.org/S19-2080/) *— 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation*
29. [QASC: A Dataset for Question Answering via Sentence Composition](https://arxiv.org/abs/1910.11473) *— 2019 · arXiv:1910.11473*
30. [Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset](https://aclanthology.org/N18-2005/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
31. [Native Language Identification With Classifier Stacking and Ensembles](https://aclanthology.org/J18-3003/) *— 2018 · Computational Linguistics*
32. [Charmanteau: Character Embedding Models For Portmanteau Creation](https://aclanthology.org/D17-1315/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
33. [New perspectives on cohesion and coherence: Implications for translation (Language Science Press, Translation and Multilingual Natural Language Processing, 2017)](https://md.mova.elamur.ai/free/en/docs/papers/kunz-2017-new-perspectives-cohesion-coherence/) *— our card · 2017 · edited-volume*
34. [Biomolecular Event Extraction using a Stacked Generalization based Classifier](https://aclanthology.org/W16-6308/) *— 2016 · Proceedings of the 13th International Conference on Natural Language Processing*
35. [If You Even Don''t Have a Bit of Bible: Learning Delexicalized POS Taggers](https://aclanthology.org/L16-1015/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
36. [LTG at SemEval-2016 Task 11: Complex Word Identification with Classifier Ensembles](https://aclanthology.org/S16-1154/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
37. [Pomona at SemEval-2016 Task 11: Predicting Word Complexity Based on Corpus Frequency](https://aclanthology.org/S16-1164/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
38. [Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles](https://arxiv.org/abs/1612.01474) *— 2016 · arXiv:1612.01474*
39. [iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases](https://aclanthology.org/S16-1077/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
40. [A Multi-classifier Approach to support Coreference Resolution in a Vector Space Model](https://aclanthology.org/W15-1503/) *— 2015 · Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing*
41. [CODRA: A Novel Discriminative Framework for Rhetorical Analysis](https://aclanthology.org/J15-3002/) *— 2015 · Computational Linguistics*
42. [Language Identification using Classifier Ensembles](https://aclanthology.org/W15-5407/) *— 2015 · Proceedings of the Joint Workshop on Language Technology for Closely Related Languages, Varieties and Dialects*
43. [Sentiment Classification of Arabic Documents: Experiments with multi-type features and ensemble algorithms](https://aclanthology.org/Y15-1023/) *— 2015 · Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation*
44. [Webis: An Ensemble for Twitter Sentiment Detection](https://aclanthology.org/S15-2097/) *— 2015 · Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)*
45. [Linear Mixture Models for Robust Machine Translation](https://aclanthology.org/W14-3363/) *— 2014 · Proceedings of the Ninth Workshop on Statistical Machine Translation*
46. [UNAL-NLP: Combining Soft Cardinality Features for Semantic Textual Similarity, Relatedness and Entailment](https://aclanthology.org/S14-2131/) *— 2014 · Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)*
47. [Boosting Cross-Language Retrieval by Learning Bilingual Phrase Associations from Relevance Rankings](https://aclanthology.org/D13-1175/) *— 2013 · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing*
48. [Data-driven, PCFG-based and Pseudo-PCFG-based Models for Chinese Dependency Parsing](https://aclanthology.org/Q13-1025/) *— 2013 · Transactions of the Association for Computational Linguistics*
49. [Multi-Task Learning for Improved Discriminative Training in SMT](https://aclanthology.org/W13-2236/) *— 2013 · Proceedings of the Eighth Workshop on Statistical Machine Translation*
50. [NLI Shared Task 2013: MQ Submission](https://aclanthology.org/W13-1716/) *— 2013 · Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications*
51. [SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity](https://aclanthology.org/S13-1028/) *— 2013 · Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity*
52. [SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis](https://aclanthology.org/S13-2047/) *— 2013 · Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)*
53. [UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity](https://aclanthology.org/S13-1030/) *— 2013 · Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity*
54. [A Novel Discriminative Framework for Sentence-Level Discourse Analysis](https://aclanthology.org/D12-1083/) *— 2012 · Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning*
55. [Capturing Paradigmatic and Syntagmatic Lexical Relations: Towards Accurate Chinese Part-of-Speech Tagging](https://aclanthology.org/P12-1026/) *— 2012 · Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach](https://aclanthology.org/D12-1068/) *— 2012 · Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning*
57. [Practical recommendations for gradient-based training of deep architectures](https://arxiv.org/abs/1206.5533) *— 2012 · arXiv:1206.5533*
58. [Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization](https://aclanthology.org/L12-1389/) *— 2012 · Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)*
59. [Learning Protein–Protein Interaction Extraction using Distant Supervision](https://aclanthology.org/W11-3904/) *— 2011 · Proceedings of Workshop on Robust Unsupervised and Semisupervised Methods in Natural Language Processing*
60. [Semi-supervised condensed nearest neighbor for part-of-speech tagging](https://aclanthology.org/P11-2009/) *— 2011 · Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies*
61. [Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter](https://aclanthology.org/D11-1145/) *— 2011 · Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing*
62. [Distributed Training Strategies for the Structured Perceptron](https://aclanthology.org/N10-1069/) *— 2010 · Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics*
63. [Fully Unsupervised Core-Adjunct Argument Classification](https://aclanthology.org/P10-1024/) *— 2010 · Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics*
64. [HILDA: A Discourse Parser Using Support Vector Machine Classification](https://aclanthology.org/2010.dnd-1.1/) *— 2010*
65. [Improved Fully Unsupervised Parsing with Zoomed Learning](https://aclanthology.org/D10-1067/) *— 2010 · Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing*
66. [Learning to Predict Readability using Diverse Linguistic Features](https://aclanthology.org/C10-1062/) *— 2010 · Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)*
67. [Products of Random Latent Variable Grammars](https://aclanthology.org/N10-1003/) *— 2010 · Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics*
68. [Self-Training with Products of Latent Variable Grammars](https://aclanthology.org/D10-1002/) *— 2010 · Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing*
69. [Word-based and Character-based Word Segmentation Models: Comparison and Combination](https://aclanthology.org/C10-2139/) *— 2010 · Coling 2010: Posters*
70. [Active Learning Literature Survey](https://burrsettles.com/pub/settles.activelearning.pdf) *— 2009 · Computer Sciences Technical Report 1648, University of Wisconsin–Madison*
71. [Classifier Combination Techniques Applied to Coreference Resolution](https://aclanthology.org/N09-3001/) *— 2009 · Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium*
72. [Human-competitive tagging using automatic keyphrase extraction](https://aclanthology.org/D09-1137/) *— 2009 · Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing*
73. [Reducing Semantic Drift with Bagging and Distributional Similarity](https://aclanthology.org/P09-1045/) *— 2009 · Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP*
74. [Reducing the Annotation Effort for Letter-to-Phoneme Conversion](https://aclanthology.org/P09-1015/) *— 2009 · Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP*
75. [Semi-Supervised Training for the Averaged Perceptron POS Tagger](https://aclanthology.org/E09-1087/) *— 2009 · Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009)*
76. [A Uniform Approach to Analogies, Synonyms, Antonyms, and Associations](https://aclanthology.org/C08-1114/) *— 2008 · Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008)*
77. [Multi-Task Active Learning for Linguistic Annotations](https://aclanthology.org/P08-1098/) *— 2008 · Proceedings of ACL-08: HLT*
78. [An Ensemble Method for Selection of High Quality Parses](https://aclanthology.org/P07-1052/) *— 2007 · Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics*
79. [Frustratingly Hard Domain Adaptation for Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2007-dredze-frustratingly-hard-domain-adaptation-dependency/) *— our card · 2007 · Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)*
80. [K-best Spanning Tree Parsing](https://aclanthology.org/P07-1050/) *— 2007 · Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics*
81. [TAT: An Author Profiling Tool with Application to Arabic Emails](https://aclanthology.org/U07-1006/) *— 2007 · Proceedings of the Australasian Language Technology Workshop 2007*
82. [Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages](https://aclanthology.org/D07-1023/) *— 2007 · Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)*
83. [Detecting Spam Web Pages through Content Analysis](https://www.microsoft.com/en-us/research/publication/detecting-spam-web-pages-through-content-analysis/) *— 2006 · WWW 2006*
84. [Minority Vote: At-Least-N Voting Improves Recall for Extracting Relations](https://aclanthology.org/P06-2060/) *— 2006 · Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions*
85. [Modeling Commonality among Related Classes in Relation Extraction](https://aclanthology.org/P06-1016/) *— 2006 · Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics*
86. [PCFGs with Syntactic and Prosodic Indicators of Speech Repairs](https://aclanthology.org/P06-1021/) *— 2006 · Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics*
87. [Semantic Parsing with Structured SVM Ensemble Classification Models](https://aclanthology.org/P06-2080/) *— 2006 · Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions*
88. [Improving Parsing Accuracy by Combining Diverse Dependency Parsers](https://aclanthology.org/W05-1518/) *— 2005 · Proceedings of the Ninth International Workshop on Parsing Technology*
89. [Optimizing to Arbitrary NLP Metrics using Ensemble Selection](https://aclanthology.org/H05-1068/) *— 2005 · Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing*
90. [The Swarthmore College Senseval-3 system](https://aclanthology.org/W04-0862/) *— 2004 · Proceedings of SENSEVAL-3, the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text*
91. [Improved Automatic Keyword Extraction Given More Linguistic Knowledge](https://aclanthology.org/W03-1028/) *— 2003 · Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing*
92. [Meta-Learning Orthographic and Contextual Models for Language Independent Named Entity Recognition](https://aclanthology.org/W03-0431/) *— 2003 · Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003*
93. [Weakly Supervised Natural Language Learning Without Redundant Views](https://aclanthology.org/N03-1023/) *— 2003 · Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics*
94. [Combining Heterogeneous Classifiers for Word Sense Disambiguation](https://aclanthology.org/W02-0811/) *— 2002 · Proceedings of the ACL-02 Workshop on Word Sense Disambiguation: Recent Successes and Future Directions*
95. [Feature Selection for a Rich HPSG Grammar Using Decision Trees](https://aclanthology.org/W02-2030/) *— 2002 · COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002)*
96. [Improving Accuracy in word class tagging through the Combination of Machine Learning Systems](https://aclanthology.org/J01-2002/) *— 2001 · Computational Linguistics*
97. [Bagging and Boosting a Treebank Parser](https://aclanthology.org/A00-2005/) *— 2000 · 1st Meeting of the North American Chapter of the Association for Computational Linguistics*
98. [Word Sense Disambiguation by Learning from Unlabeled Data](https://aclanthology.org/P00-1069/) *— 2000 · Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics*
99. [Improving POS Tagging Using Machine-Learning Techniques](https://aclanthology.org/W99-0608/) *— 1999 · 1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora*
100. [Do Not Forget: Full Memory in Memory-Based Learning of Word Pronunciation](https://aclanthology.org/W98-1224/) *— 1998 · Proceedings of the Joint Conference on New Methods in Language Processing and Computational Natural Language Learning*

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