Surendrabikram Thapa
Surendrabikram Thapa has 9 papers in our library, in 2023–2026, most of them on Low-resource languages, Semitic languages, Bias, fairness & safety; often with Usman Naseem, Kritesh Rauniyar, Shuvam Shiwakoti.
OpenAlex · h-index 0 · 15 works · 0 citations OpenAlex, 2026-10-14
📄 9 works in our library · 🔗 Cited 108 times in our library · ⭐ Paper Stars ranking: #7539
Affiliations
Fields, topics and concepts
📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Computer Science · 9 worksArtificial Intelligence · 9 worksArts and Humanities · 5 worksLanguage and Linguistics · 5 worksSocial Sciences · 4 worksSociology and Political Science · 3 worksInformation Systems · 2 worksComputer Vision and Pattern Recognition · 1 workHealth · 1 workSafety Research · 1 work
🧭 Topics 10Research subjects and languages the work is about.Semitic languages · 3 worksVision & language · 2 worksEvaluation & benchmarks · 1 workBias, fairness & safety · 3 worksLow-resource languages · 3 worksSentiment & emotion · 2 worksMachine translation · 1 workQuestion answering · 1 workInformation extraction · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Findings of the Second Workshop on Challenges in Processing South Asian Languages (CHiPSAL 2026) (2026 · 12 citations)
This report covers the second CHiPSAL workshop, held with LREC 2026. The workshop addresses the weak coverage of South Asian languages in NLP resources and LLMs. The region has about 700 languages written in more than 25 scripts. Progress is held back by scarce curated data, rich morphology, code-mixing, script… - Multimodal Hate and Sentiment Understanding in Low-Resource Text-Embedded Images for Online Safety and Digital Well-being (2026 · 12 citations)
This overview paper reports on a CHiPSAL 2026 shared task, held at LREC 2026, on moderating memes in Nepali, a widely spoken language with few resources. - Multimodal Identification of Vaccine Content Stance on Social Media (2026 · 9 citations)
This paper reports on a shared task, held at the EEUCA 2026 workshop co-located with ACL 2026, on automatically classifying the vaccination stance of social media memes. - DialectNLU at NADI 2023 Shared Task: Transformer Based Multitask Approach Jointly Integrating Dialect and Machine Translation Tasks in Arabic (2023 · 8 citations)
The paper is a system description for the NADI 2023 shared task at ArabicNLP 2023. It covers two closed-track subtasks: identifying which of 18 countries an Arabic tweet comes from, and translating four urban dialects into Modern Standard Arabic (MSA). For dialect identification, the authors combine ARBERT, which is… - LowResContextQA at Qur'an QA 2023 Shared Task: Temporal and Sequential Representation Augmented Question Answering Span Detection in Arabic (2023 · 8 citations)
This paper describes a system for Task B of the Qur'an QA 2023 shared task. The system receives a passage of consecutive Qur'anic verses and a question in Modern Standard Arabic. It must return up to ten ranked answer spans copied directly from the passage, or nothing when the passage contains no answer. The data is… - KnowTellConvince at ArAIEval Shared Task: Disinformation and Persuasion Detection in Arabic using Similar and Contrastive Representation Alignment (2023 · 7 citations)
The authors describe their entry to the ArAIEval 2023 shared task, which targets two problems in Arabic text where far fewer tools exist than for English. - Self-Explaining Hate Speech Detection with Moral Rationales (2026 · 2 citations)
Hate speech classifiers often depend on surface lexical cues. This makes them prone to spurious correlations, hard to interpret and weak with culturally contingent language. The authors argue that moral values, framed through Moral Foundations Theory, give a more stable signal than wording alone. They propose… - Benchmarking Models for Low-Resource Nepali Event Extraction with Trigger Phrase Identification and Event Classification (2026 · 1 citation)
Event extraction research has focused on high-resource languages, so Nepali has had no dedicated annotated resource for it. - Improving Public Health Safety in Low-Resource Languages Using a Human-Verified Health Misinformation Corpus and Large Language Models (2026 · 1 citation)
Automatic detection of health misinformation is barely studied for low-resource languages such as Nepali, mainly because trustworthy evaluation data are missing.
Co-authors here
- Usman Naseem ×5
- Kritesh Rauniyar ×4
- Shuvam Shiwakoti ×4
- Hariram Veeramani ×3
- Laxmi Thapa ×3
- Astha Shrestha ×2
- Bal Krishna Bal ×2
- Kengatharaiyer Sarveswaran ×2
- Kristina T Johnson ×2
- Rabin Thapa ×2
- Siddhant Bikram Shah ×2
- Sujal Maharjan ×2
Venues
- Arabic Natural Language Processing Conference (ArabicNLP) ×3: ArabicNLP 2023 ×3
- workshop on Challenges in Processing South Asian Languages ×3: workshop on Challenges in Processing South Asian Languages 2026 ×3
- Workshop on Event Extraction and Understanding: Challenges and Applications ×2: Workshop on Event Extraction and Understanding: Challenges and Applications 2026 ×2
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- International Workshop on Semantic Evaluation (SemEval)
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