--- title: "Who cites Jonas Groschwitz — 88 papers of our library" description: "88 papers of the Elamur Research library cite the works of Jonas Groschwitz, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/jonas-groschwitz/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jonas-groschwitz/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Jonas Groschwitz](https://md.research.elamur.ai/free/en/authors/jonas-groschwitz/) / cited by # Who cites Jonas Groschwitz 122 citations of their works from 88 papers of our library (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · [← Jonas Groschwitz](https://md.research.elamur.ai/free/en/authors/jonas-groschwitz/) 1. **[AMR Parsing via Graph-Sequence Iterative Inference](https://md.research.elamur.ai/free/en/papers/cai-2020-amr-parsing-graph-sequence-iterative/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Deng Cai, Wai Lam*2020 · 168 citations* 2. [**Semantic Neural Machine Translation Using AMR**Linfeng Song, Daniel Gildea, Yue Zhang, et al.*2019 · 159 citations*](https://md.research.elamur.ai/free/en/papers/song-2019-semantic-neural-machine-translation-amr/) 3. **[Broad-Coverage Semantic Parsing as Transduction](https://md.research.elamur.ai/free/en/papers/zhang-2019-broad-coverage-semantic-parsing-as/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sheng Zhang, Xutai Ma, Kevin Duh, et al.*2019 · 124 citations* 4. **[MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing](https://md.research.elamur.ai/free/en/papers/oepen-2020-mrp-2020-second-shared-task/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Stephan Oepen, Omri Abend, Lasha Abzianidze, et al.*2020 · 101 citations* 5. [**Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR**Juri Opitz, Anette Frank*2021 · 51 citations*](https://md.research.elamur.ai/free/en/papers/opitz-2021-decomposable-metric-explainable-evaluation-text/) 6. [**DocAMR: Multi-Sentence AMR Representation and Evaluation**Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, et al.*2022 · 24 citations*](https://md.research.elamur.ai/free/en/papers/naseem-2022-docamr-multi-sentence-amr-representation/) 7. **[AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite](https://md.research.elamur.ai/free/en/papers/groschwitz-2023-amr-parsing-is-far-solved/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jonas Groschwitz, Shay B. Cohen, Lucia Donatelli, et al.*2023 · 20 citations* 8. [**Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary**Stefan Grünewald, Annemarie Friedrich, Jonas Kuhn*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/grunewald-2021-applying-occam-s-razor-transformer/) 9. [**The First Shared Task on Discourse Representation Structure Parsing**Lasha Abzianidze, Rik van Noord, Hessel Haagsma, et al.*2019 · 16 citations*](https://md.research.elamur.ai/free/en/papers/abzianidze-2019-first-shared-task-discourse-representation/) 10. [**Survey of Abstract Meaning Representation: Then, Now, Future**Behrooz Mansouri*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/mansouri-2025-survey-abstract-meaning-representation-then/) 11. [**Bootstrapping UMRs from Universal Dependencies for Scalable Multilingual Annotation**Federica Gamba, Alexis Palmer, Daniel Zeman*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/gamba-2025-bootstrapping-umrs-universal-dependencies-scalable/) 12. **[Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing](https://md.research.elamur.ai/free/en/papers/cao-2021-comparing-knowledge-intensive-data-intensive/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Junjie Cao, Zi Lin, Weiwei Sun, et al.*2021 · 6 citations* 13. **[The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task](https://md.research.elamur.ai/free/en/papers/barry-2021-dcu-epfl-enhanced-dependency-parser/) [International Conference on Parsing Technologies and the IWPT Shared Task on Parsing into Enhanced Universal Dependencies](https://md.research.elamur.ai/free/en/venues/iwpt/)**James Barry, Alireza Mohammadshahi, Joachim Wagner, et al.*2021 · 4 citations* 14. **[The Relative Clauses AMR Parsers Hate Most](https://md.research.elamur.ai/free/en/papers/yang-2024-relative-clauses-amr-parsers-hate/) [International Workshop on Designing Meaning Representations @ LREC](https://md.research.elamur.ai/free/en/venues/dmr/)**Xiulin Yang, Nathan Schneider*2024 · 2 citations* 15. **[Examining Algebraic Recombination for Compositional Generalisation](https://md.research.elamur.ai/free/en/papers/ruiz-2026-examining-algebraic-recombination-compositional-generalisation/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Joaquin Cardona Ruiz, Antske Fokkens, Lucia Donatelli*2026* 73 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/jonas-groschwitz/) — Jonas Groschwitz