--- title: "Computer Science Applications — papers, page 2" description: "Computer Science Applications: 39 papers of the Elamur Research library · page 2 of 2 · 26–39, the most cited first — our summary of each, its ideas…" canonical: "https://research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/page/2/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/page/2/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) / [Computer Science Applications](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) / page 2 # 🖥️ Computer Science Applications 39 papers · page 2 of 2 · 26–39 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Computer Science Applications is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Mobile Crowdsensing and Crowdsourcing», «Teaching and Learning Programming», «Online Learning and Analytics». ## Papers [← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) **2** 26. [**Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design**Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/pyatkin-2023-design-choices-crowdsourcing-implicit-discourse/) 27. [**Improving Crowdsourcing-Based Annotation of Japanese Discourse Relations**Yudai Kishimoto, Shinnosuke Sawada, Yugo Murawaki, et al.*2018 · 17 citations*](https://md.research.elamur.ai/free/en/papers/kishimoto-2018-improving-crowdsourcing-based-annotation-japanese/) 28. [**Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and Training**Merel Scholman, Valentina Pyatkin, Frances Yung, et al.*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/scholman-2022-design-choices-crowdsourcing-discourse-relation/) 29. [**Towards Semi-Automated Annotation for Prepositional Phrase Attachment**Sara Rosenthal, William Lipovsky, Kathleen McKeown, et al.*2010 · 10 citations*](https://md.research.elamur.ai/free/en/papers/rosenthal-2010-semi-automated-annotation-prepositional-phrase/) 30. [**Predicting Learner Levels for Online Exercises of Hebrew**Markus Dickinson, Sandra Kübler, Anthony Meyer*2012 · 9 citations*](https://md.research.elamur.ai/free/en/papers/dickinson-2012-predicting-learner-levels-online-exercises/) 31. [**Play the Language: Play Coreference**Barbora Hladká, Jiří Mírovský, Pavel Schlesinger*2009 · 8 citations*](https://md.research.elamur.ai/free/en/papers/hladka-2009-play-language-play-coreference/) 32. [**Coreference Annotation of an Arabic Corpus using a Virtual World Game**Wateen Abdullah Aliady, Abdulrahman Aloraini, Christopher Madge, et al.*2022 · 3 citations*](https://md.research.elamur.ai/free/en/papers/aliady-2022-coreference-annotation-arabic-corpus-virtual/) 33. [**Crowdsourced Hedge Term Disambiguation**Morgan Ulinski, Julia Hirschberg*2019 · 3 citations*](https://md.research.elamur.ai/free/en/papers/ulinski-2019-crowdsourced-hedge-term-disambiguation/) 34. [**Quranic Audio Dataset: Crowdsourced and Labeled Recitation from Non-Arabic Speakers**Raghad Salameh, Mohamad Al Mdfaa, Nursultan Askarbekuly, et al.*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/salameh-2024-quranic-audio-dataset-crowdsourced-labeled/) 35. [**Bridging the Socioeconomic Gap in Education: A Hybrid AI and Human Annotation Approach**Nahed Abdelgaber, Labiba Jahan, Arham Vinit Doshi, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/abdelgaber-2025-bridging-socioeconomic-gap-education-hybrid/) 36. [**GENIUS Keylog Corpus - a German High School Student Corpus with Keystroke Logging Data**Nils-Jonathan Schaller, Thorben Jansen, Lars Höft, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schaller-2026-genius-keylog-corpus-german-high/) 37. [**Simulating Student Interactions for Virtual Pretesting with In-Context Learning**Arthur Thuy, Luca Benedetto, Ekaterina Loginova, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thuy-2026-simulating-student-interactions-virtual-pretesting/) 38. [**LLMs as Compiler for Arabic Programming Language**Serry Sibaee, Omar Najar, Lahouri Ghouti, et al.*2024*](https://md.research.elamur.ai/free/en/papers/sibaee-2024-llms-compiler-arabic-programming-language/) 39. [**MyVoice: Arabic Speech Resource Collaboration Platform**Yousseif Elshahawy; Yassine El Kheir; Shammur Absar Chowdhury;, Ahmed Ali*2023*](https://md.research.elamur.ai/free/en/papers/elshahawy-2023-myvoice-arabic-speech-resource-collaboration/) [← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) **2**