Priyanshu Priya
Priyanshu Priya has 4 papers in our library, in 2023–2026, most of them on Dialogue systems, Sentiment & emotion; often with Asif Ekbal, Mauajama Firdaus, Kshitij Mishra.
OpenAlex · ORCID · h-index 6 · 32 works · 119 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 24 times in our library · ⭐ Paper Stars ranking: #7556
Affiliations
Fields, topics and concepts
📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksArts and Humanities · 4 worksComputer Science · 4 worksLanguage and Linguistics · 4 worksExperimental and Cognitive Psychology · 2 worksPsychology · 2 worksComputer Vision and Pattern Recognition · 1 workHealth Informatics · 1 workMedicine · 1 work
🧭 Topics 2Research subjects and languages the work is about.Dialogue systems · 3 worksSentiment & emotion · 1 work
Works by year
2020s
Papers
- 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… - PAL to Lend a Helping Hand: Towards Building an Emotion Adaptive Polite and Empathetic Counseling Conversational Agent (2023 · 23 citations)
The paper addresses online mental-health counseling, where a dialogue agent should adjust its tone to the client's emotional state instead of answering in one fixed style. - 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… - Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge Grounding (2026)
LLMs used for medical dialogue generation (MDG) often hallucinate. They can contradict even correct knowledge they are given, which is dangerous in clinical advice. The authors present IMKDG (In-context Medical Knowledge-grounded Dialogue Generator), a plug-and-play retrieval framework that needs no extra…
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2023
- ACM Computing Surveys: ACM Computing Surveys 2024
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
- Language Resources and Evaluation Conference (LREC): LREC 2026
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