🧑‍🔬 Mauajama Firdaus

🏛️ Affiliations

🎓University of AlbertaEdmonton · Canada2023–2025 · 14 paperscurrent🎓Indian Institute of Technology DhanbadDhanbad · India2024–2025 · 3 paperscurrent🎓Indian Institute of Technology PatnaPatna · India2018–2024 · 33 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Computational Politeness in Natural Language Processing: A Survey (2024 · 34 citations)
   This survey maps the research area that tries to detect and generate politeness in text automatically. It starts from linguistic theory and covers several traditions: maxim-based accounts (Grice's Cooperative Principle and Leech's Politeness Principle), face-based, discursive, relational and frame-based views. It…
2. PoliSe: Reinforcing Politeness Using User Sentiment for Customer Care Response Generation (2022 · 5 citations)
   The paper addresses customer-care dialogue. A neutral, generic agent reply, such as "Send us a dm", is rewritten into a courteous one, and the kind of courtesy depends on how the customer feels. An upset customer should get apology or reassurance. A happy customer should get thanks or a greeting. Because no…
3. Mixing It Up: Inducing Empathy and Politeness using Multiple Behaviour-aware Generators for Conversational Systems (2023 · 2 citations)
   The paper addresses customer-care dialogue. An agent's reply should be helpful, and its form of politeness should also suit the customer's mood. The authors split politeness into five behaviours: appreciation, empathy, apology, greeting and assurance. They define a new task of generating replies guided by one of…

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations ↗Proceedings of the 28th International Conference on Computational Linguistics · no summary yetMauajama Firdaus et al.2020 · 77 citations
2. Prompt-Based Editing for Text Style Transfer ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetGuoqing Luo et al.2023 · 39 citations
3. Computational Politeness in Natural Language Processing: A SurveyACM Computing SurveysPriyanshu Priya, Mauajama Firdaus, Asif Ekbal2024 · 34 citations
4. PoliSe: Reinforcing Politeness Using User Sentiment for Customer Care Response GenerationInternational Conference on Computational Linguistics (COLING)Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya2022 · 5 citations
5. Mixing It Up: Inducing Empathy and Politeness using Multiple Behaviour-aware Generators for Conversational SystemsFindings of the Association for Computational LinguisticsMauajama Firdaus, Priyanshu Priya, Asif Ekbal2023 · 2 citations

🤝 Co-authors here

3 co-authors with a page, the most papers together first.

• Asif Ekbal ×3
• Priyanshu Priya ×2
• Pushpak Bhattacharyya

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• International Conference on Computational Linguistics (COLING) ×2: COLING 2022
• ACM Computing Surveys: ACM Computing Surveys 2024
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
• Findings of the Association for Computational Linguistics: EMNLP 2023

🔗 Cited by

Papers of our library cite their works 63 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated 30 October 2026

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