--- title: "Human-Computer Interaction — papers" description: "Human-Computer Interaction: 46 papers of the Elamur Research library · page 1 of 2 · 1–25, the most cited first — our summary of each, its ideas…" canonical: "https://research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) [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/) / Human-Computer Interaction # 🖱️ Human-Computer Interaction 46 papers · page 1 of 2 · 1–25 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Human-Computer Interaction is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Digital Communication and Language», «Hand Gesture Recognition Systems», «Gaze Tracking and Assistive Technology». ## Papers **1** [2](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/page/2/) 1. [**Microsoft COCO: Common Objects in Context**Tsung-Yi Lin, Michael Maire, Serge Belongie, et al.*2014 · 4,529 citations*](https://md.research.elamur.ai/free/en/papers/lin-2014-microsoft-coco-common-objects-context/) 2. [**Lexical Normalisation of Short Text Messages: Makn Sens a #twitter**Bo Han, Timothy Baldwin*2011 · 586 citations*](https://md.research.elamur.ai/free/en/papers/han-2011-lexical-normalisation-short-text-messages/) 3. [**What to do about bad language on the internet**Jacob Eisenstein*2013 · 469 citations*](https://md.research.elamur.ai/free/en/papers/eisenstein-2013-what-do-about-bad-language/) 4. [**How Noisy Social Media Text, How Diffrnt Social Media Sources?**Timothy Baldwin, Paul Cook, Marco Lui, et al.*2013 · 275 citations*](https://md.research.elamur.ai/free/en/papers/baldwin-2013-how-noisy-social-media-text/) 5. [**The perfect solution for detecting sarcasm in tweets #not**Christine Liebrecht, Florian Kunneman, Antal van den Bosch*2013 · 274 citations*](https://md.research.elamur.ai/free/en/papers/liebrecht-2013-perfect-solution-detecting-sarcasm-tweets/) 6. [**Conversations Gone Awry: Detecting Early Signs of Conversational Failure**Justine Zhang, Jonathan Chang, Cristian Danescu-Niculescu-Mizil, et al.*2018 · 250 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-conversations-gone-awry-detecting-early/) 7. [**An Empirical Analysis of Formality in Online Communication**Ellie Pavlick, Joel Tetreault*2016 · 215 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2016-empirical-analysis-formality-online-communication/) 8. [**Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization**Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.*2024 · 177 citations*](https://md.research.elamur.ai/free/en/papers/tseng-2024-two-tales-persona-llms-survey/) 9. [**Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network**Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya*2017 · 139 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2017-learning-cognitive-features-gaze-data/) 10. [**Analyzing lexical emergence in Modern American English online**Jack Grieve, Andrea Nini, Diansheng Guo*2016 · 108 citations*](https://md.research.elamur.ai/free/en/papers/grieve-2016-lexical-emergence-american-english/) 11. [**Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23)**Mathias Müller, Malihe Alikhani, Eleftherios Avramidis, et al.*2023 · 39 citations*](https://md.research.elamur.ai/free/en/papers/muller-2023-findings-second-wmt-shared-task/) 12. [**Classifying Dialogue Acts in Multi-party Live Chats**Su Nam Kim, Lawrence Cavedon, Timothy Baldwin*2012 · 34 citations*](https://md.research.elamur.ai/free/en/papers/kim-2012-classifying-dialogue-acts-multi-party/) 13. [**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/) 14. [**Now We Stronger than Ever: African-American English Syntax in Twitter**Ian Stewart*2014 · 25 citations*](https://md.research.elamur.ai/free/en/papers/stewart-2014-now-we-stronger-than-ever/) 15. [**Gesture Improves Coreference Resolution**Jacob Eisenstein, Randall Davis*2006 · 24 citations*](https://md.research.elamur.ai/free/en/papers/eisenstein-2006-gesture-improves-coreference-resolution/) 16. [**Multimodality and Dialogue Act Classification in the RoboHelper Project**Lin Chen, Barbara Di Eugenio*2013 · 20 citations*](https://md.research.elamur.ai/free/en/papers/chen-2013-multimodality-dialogue-act-classification-robohelper/) 17. [**Synthetic Data for English Lexical Normalization: How Close Can We Get to Manually Annotated Data?**Kelly Dekker, Rob van der Goot*2020 · 18 citations*](https://md.research.elamur.ai/free/en/papers/dekker-2020-synthetic-data-english-lexical-normalization/) 18. [**TArC: Tunisian Arabish Corpus, First complete release**Elisa Gugliotta, Marco Dinarelli*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/gugliotta-2022-tarc-tunisian-arabish-corpus-first/) 19. [**Calliar: An Online Handwritten Dataset for Arabic Calligraphy**Zaid Alyafeai, Maged S. Al-shaibani, Mustafa Ghaleb, et al.*2021 · 8 citations*](https://md.research.elamur.ai/free/en/papers/alyafeai-2021-calliar-online-handwritten-dataset-arabic/) 20. [**TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus**Elisa Gugliotta, Marco Dinarelli*2020 · 8 citations*](https://md.research.elamur.ai/free/en/papers/gugliotta-2020-tarc-incrementally-semi-automatically-collecting/) 21. [**HATFormer: Historic Handwritten Arabic Text Recognition with Transformers**Adrian Chan, Anupam Mijar, Mehreen Saeed, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/chan-2024-hatformer-historic-handwritten-arabic-text/) 22. [**ArSarcasMoji Dataset: The Emoji Sentiment Roles in Arabic Ironic Contexts**Shatha Ali A. Hakami, Robert Hendley, Phillip Smith*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/hakami-2023-arsarcasmoji-dataset-emoji-sentiment-roles/) 23. [**Machine learning and emoji prediction: How much accuracy can MARBERT achieve?**Mohammed Q. Shormani, Ibrahim Abdulmalik Hassan Muneef Y. Alshawsh*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/shormani-2026-machine-learning-emoji-prediction-much/) 24. [**Pragmatic uses of I don't know, boosters, and hedges in text and talk**Allison Nguyen, Jean Fox Tree*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2025-pragmatic-uses-i-don-t/) 25. [**Ancient but Digitized: Developing Handwritten Optical Character Recognition for East Syriac Script Through Creating KHAMIS Dataset**Ameer Majeed, Hossein Hassani*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/majeed-2024-ancient-but-digitized-developing-handwritten/) **1** [2](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/page/2/) Updated 23 October 2026 - [← previous subfield Hardware and Architecture](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) - [next subfield → Information Systems](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) - [↑ back to Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/)