Nikhil Singh
Nikhil Singh has 2 papers in our library, in 2022, most of them on Semitic languages, Question answering, Sentiment & emotion.
OpenAlex · ORCID · h-index 18 · 140 works · 1,407 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11638
Affiliations
🎓Indian Institute of Information Technology BhopalBhopal ·
India2023–2026 · 5 papers🎓Galgotias UniversityGreater Noida ·
India2021–2026 · 3 papers🎓Maulana Azad National Institute of TechnologyBhopal ·
India2010–2023 · 14 papers🎓Indian Institute of Technology RoorkeeRoorkee ·
India2023–2024 · 8 papers🎓University of Illinois Urbana-ChampaignUrbana ·
United States2007–2011 · 8 papers🎓Motilal Nehru National Institute of TechnologyPrayagraj ·
India2014–2025 · 3 papers🎓Indian Institute of Technology KanpurKanpur ·
India2022–2023 · 3 papers🎓Manipal University JaipurJaipur ·
India2022 · 3 papers🎓Bhagwant UniversityAjmer ·
India2016–2018 · 3 papers🎓Banaras Hindu UniversityVaranasi ·
India2022–2025 · 2 papers
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work
🧭 Topics 4Research subjects and languages the work is about.Semitic languages · 2 worksQuestion answering · 1 workEnglish · 1 workSentiment & emotion · 1 work
Works by year
2020s
Papers
- niksss at Qur'an QA 2022: A Heavily Optimized BERT Based Model for Answering Questions from the Holy Qu'ran (2022 · 1 citation)
This system paper from team niksss addresses the Qur'an QA 2022 shared task. The task is extractive reading comprehension: given a Qur'anic passage and a question in Modern Standard Arabic, return answer spans that are exact substrings of the passage. The data is QRCD, split into train, development and test portions. - niksss at SemEval-2022 Task 6: Are Traditionally Pre-Trained Contextual Embeddings Enough for Detecting Intended Sarcasm ? (2022)
This paper describes one team's entry to SemEval-2022 Task 6, which targets intended sarcasm in English and Arabic.
Venues
- Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks: Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks 2022
- International Workshop on Semantic Evaluation (SemEval): SemEval 2022
Cited by
Updated
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