--- title: "Who cites A Corpus and Model Integrating Multiword…" description: "48 papers of the Elamur Research library cite «A Corpus and Model Integrating Multiword Expressions and Supersenses», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/schneider-2015-corpus-model-integrating-multiword-expressions/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/schneider-2015-corpus-model-integrating-multiword-expressions/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A Corpus and Model Integrating Multiword…](https://md.research.elamur.ai/free/en/papers/schneider-2015-corpus-model-integrating-multiword-expressions/) / cited by # Who cites «A Corpus and Model Integrating Multiword Expressions and Supersenses» 48 papers of our library cite it (of the 140,884 whose bibliographies we read) · 13 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/schneider-2015-corpus-model-integrating-multiword-expressions/) 1. [**SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems**Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.*2019 · 2,187 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-superglue-stickier-benchmark-general-purpose/) 2. [**Identifying beneficial task relations for multi-task learning in deep neural networks**Joachim Bingel, Anders Søgaard*2017 · 305 citations*](https://md.research.elamur.ai/free/en/papers/bingel-2017-identifying-beneficial-task-relations-multi/) 3. [**Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition**Vered Shwartz, Ido Dagan*2019 · 129 citations*](https://md.research.elamur.ai/free/en/papers/shwartz-2019-still-pain-neck-evaluating-text/) 4. [**SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)**Nathan Schneider, Dirk Hovy, Anders Johannsen, et al.*2016 · 100 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2016-semeval-2016-task-10-detecting/) 5. [**AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models**Harish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton, et al.*2021 · 86 citations*](https://md.research.elamur.ai/free/en/papers/madabushi-2021-astitchinlanguagemodels-dataset-methods-exploration-idiomaticity/) 6. [**Idiomatic Expression Identification using Semantic Compatibility**Ziheng Zeng, Suma Bhat*2021 · 75 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2021-idiomatic-expression-identification-semantic-compatibility/) 7. [**A Hierarchy with, of, and for Preposition Supersenses**Nathan Schneider, Vivek Srikumar, Jena D. Hwang, et al.*2015 · 64 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2015-hierarchy-preposition-supersenses/) 8. [**A Corpus of Preposition Supersenses**Nathan Schneider, Jena D. Hwang, Vivek Srikumar, et al.*2016 · 34 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2016-corpus-preposition-supersenses/) 9. [**From Shakespeare to Twitter: What are Language Styles all about?**Wei Xu*2017 · 29 citations*](https://md.research.elamur.ai/free/en/papers/xu-2017-shakespeare-twitter-what-are-language/) 10. [**Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics**Daniel Hershcovich, Nathan Schneider, Dotan Dvir, et al.*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/hershcovich-2020-comparison-conversion-reverse-engineering-ucca/) 11. [**Token-level Identification of Multiword Expressions using Pre-trained Multilingual Language Models**Raghuraman Swaminathan, Paul Cook*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/swaminathan-2023-token-level-identification-multiword-expressions/) 12. [**Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches**Tianze Shi, Lillian Lee*2020 · 3 citations*](https://md.research.elamur.ai/free/en/papers/shi-2020-extracting-headless-mwes-dependency-parse/) 13. [**Putting Context in SNACS: A 5-Way Classification of Adpositional Pragmatic Markers**Yang Janet Liu, Jena D. Hwang, Nathan Schneider, et al.*2022*](https://md.research.elamur.ai/free/en/papers/liu-2022-putting-context-snacs-5-way/) 35 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/schneider-2015-corpus-model-integrating-multiword-expressions/) — A Corpus and Model Integrating Multiword Expressions and Supersenses