--- title: "Who cites Bob Carpenter — 118 papers of our library" description: "118 papers of the Elamur Research library cite the works of Bob Carpenter, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/bob-carpenter/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bob-carpenter/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Bob Carpenter](https://md.research.elamur.ai/free/en/authors/bob-carpenter/) / cited by # Who cites Bob Carpenter 134 citations of their works from 118 papers of our library (of the 141,840 whose bibliographies we read) · 18 with a page here, the most cited first · [← Bob Carpenter](https://md.research.elamur.ai/free/en/authors/bob-carpenter/) 1. [**Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation**Markus Freitag, George Foster, David Grangier, et al.*2021 · 660 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2021-experts-errors-context-large-scale/) 2. **[The Media Frames Corpus: Annotations of Frames Across Issues](https://md.research.elamur.ai/free/en/papers/card-2015-media-frames-corpus-annotations-frames/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dallas Card, Amber E. Boydstun, Justin H. Gross, et al.*2015 · 359 citations* 3. **[Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM](https://md.research.elamur.ai/free/en/papers/habernal-2016-which-argument-is-more-convincing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ivan Habernal, Iryna Gurevych*2016 · 302 citations* 4. [**Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic**Han-Chin Shing, Suraj Nair, Ayah Zirikly, et al.*2018 · 290 citations*](https://md.research.elamur.ai/free/en/papers/shing-2018-expert-crowdsourced-machine-assessment-suicide/) 5. **[Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks](https://md.research.elamur.ai/free/en/papers/rottger-2022-two-contrasting-data-annotation-paradigms/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Paul Röttger, Bertie Vidgen, Dirk Hovy, et al.*2022 · 219 citations* 6. **[The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants](https://md.research.elamur.ai/free/en/papers/habernal-2018-argument-reasoning-comprehension-task-identification/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, et al.*2018 · 217 citations* 7. **[Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview](https://md.research.elamur.ai/free/en/papers/shah-2019-predictive-biases-natural-language-processing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Deven Shah, H. Andrew Schwartz, Dirk Hovy*2019 · 202 citations* 8. [**We Need to Consider Disagreement in Evaluation Proceedings of the 1st Workshop on Benchmarking: Past, Present and Future**Valerio Basile, Michael Fell, Tommaso Fornaciari, et al.*2021 · 185 citations*](https://md.research.elamur.ai/free/en/papers/basile-2021-we-need-consider-disagreement-evaluation/) 9. **[Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning](https://md.research.elamur.ai/free/en/papers/fornaciari-2021-beyond-black-white-leveraging-annotator/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tommaso Fornaciari, Alexandra Uma, Silviu Paun, et al.*2021 · 143 citations* 10. **[A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation](https://md.research.elamur.ai/free/en/papers/poesio-2019-crowdsourced-corpus-multiple-judgments-disagreement/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Massimo Poesio, Jon Chamberlain, Silviu Paun, et al.*2019 · 87 citations* 11. [**Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future**Jan-Christoph Klie, Bonnie Webber, Iryna Gurevych*2023 · 73 citations*](https://md.research.elamur.ai/free/en/papers/klie-2023-annotation-error-detection-analyzing-past/) 12. **[A Probabilistic Annotation Model for Crowdsourcing Coreference](https://md.research.elamur.ai/free/en/papers/paun-2018-probabilistic-annotation-model-crowdsourcing-coreference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Silviu Paun, Jon Chamberlain, Udo Kruschwitz, et al.*2018 · 25 citations* 13. [**DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse Relations**Merel Scholman, Tianai Dong, Frances Yung, et al.*2022 · 23 citations*](https://md.research.elamur.ai/free/en/papers/scholman-2022-discogem-crowdsourced-corpus-genre-mixed/) 14. [**Recovering discourse relations: Varying influence of discourse adverbials Proceedings of the First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics**Hannah Rohde, Anna Dickinson, Chris Clark, et al.*2015 · 23 citations*](https://md.research.elamur.ai/free/en/papers/rohde-2015-recovering-discourse-relations-varying-influence/) 15. **[Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design](https://md.research.elamur.ai/free/en/papers/pyatkin-2023-design-choices-crowdsourcing-implicit-discourse/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.*2023 · 19 citations* 16. **[Natural Language Inference with Mixed Effects](https://md.research.elamur.ai/free/en/papers/gantt-2020-natural-language-inference-mixed-effects/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**William Gantt, Benjamin Kane, Aaron Steven White*2020 · 14 citations* 17. **[Disentangling Annotator Skill from Verifier Strictness in Cross-Verified Dialogue Annotation](https://md.research.elamur.ai/free/en/papers/tao-2026-disentangling-annotator-skill-verifier-strictness/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Zihao Tao, John A. Prado, Ignazio Steven LaManna, et al.*2026* 18. **[Onomasiological Sense Alignment Across Dialect Dictionaries. A Taxonomy-Constrained LLM Classification](https://md.research.elamur.ai/free/en/papers/mederake-2026-onomasiological-sense-alignment-across-dialect/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Nathalie Mederake, Nico Urbach, Hanna Fischer, et al.*2026* 100 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/bob-carpenter/) — Bob Carpenter