Papers by Roshni Ramnani
Persona or Context? Towards Building Context adaptive Personalized Persuasive Virtual Sales Assistant (2022.aacl-main)
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Abhisek Tiwari, Sriparna Saha, Shubhashis Sengupta, Anutosh Maitra, Roshni Ramnani, Pushpak Bhattacharyya
| Challenge: | Existing task-oriented conversational agents assume that end-users will always have a pre-determined and servable task goal, which results in dialogue failure in hostile scenarios, such as goal unavailability. |
| Approach: | They propose to build an end-to-end multi-modal persuasive dialogue system incorporating a personalized persuasive module aided goal controller and goal persuader. |
| Outcome: | The proposed system achieves user tasks even in goal unavailability scenarios by persuading them towards a similar and servable goal. |
COFAR: Commonsense and Factual Reasoning in Image Search (2022.aacl-main)
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Prajwal Gatti, Abhirama Subramanyam Penamakuri, Revant Teotia, Anand Mishra, Shubhashis Sengupta, Roshni Ramnani
| Challenge: | Existing approaches to retrieve relevant images for natural language searches are limited by visual recognition and lack of commonsense reasoning. |
| Approach: | They propose a framework that leverages visual content and natural language queries to enable commonsense reasoning and factual reasoning in the image search. |
| Outcome: | The proposed framework enables commonsense and factual reasoning in image search on a COFAR dataset. |
INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue Agent (2023.findings-emnlp)
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| Challenge: | a novel negotiation agent is designed for the online marketplace . a dialogue agent can negotiate on price and other factors . |
| Approach: | They propose a novel negotiation agent that is integrative in nature and can negotiate on price and other factors. |
| Outcome: | The proposed agent is integrative in nature and can negotiate on price and other factors. |
Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues (2022.lrec-1)
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Sandhya Singh, Prapti Roy, Nihar Sahoo, Niteesh Mallela, Himanshu Gupta, Pushpak Bhattacharyya, Milind Savagaonkar, Nidhi Sultan, Roshni Ramnani, Anutosh Maitra, Shubhashis Sengupta
| Challenge: | Movies reflect society and also hold power to transform opinions. |
| Approach: | They propose to annotate movie scripts for identity bias using a dataset that is annotated for gender, race/ethnicity, religion, age, occupation, LGBTQ, and other . |
| Outcome: | The proposed dataset contains dialogue turns annotated for gender, race/ethnicity, religion, age, occupation, LGBTQ, and other, which contains biases like body shaming, personality bias, etc. |
Constraint-based Multi-hop Question Answering with Knowledge Graph (2022.naacl-industry)
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| Challenge: | Recent work addresses multi-hop KGQA, which requires reasoning across numerous edges of the KG. |
| Approach: | They propose to use KG embeddings to reduce KG sparsity by performing missing link prediction. |
| Outcome: | Empirical results show that the proposed method produces state-of-the-art results on three KGQA datasets. |
TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism (2024.findings-emnlp)
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Priyanshu Priya, Desai Yasheshbhai, Ratnesh Joshi, Roshni Ramnani, Anutosh Maitra, Shubhashis Sengupta, Asif Ekbal
| Challenge: | Incorporating traveler preferences, constraints, and expectations allows for customizing negotiation strategies, resulting in a more personalized and integrative experience. |
| Approach: | They propose a novel travel persona-aware Reinforced dIalogue generation model for personalized integrative negotiation in the tourism domain. |
| Outcome: | The proposed system generates coherent and diverse responses consistent with the traveler's personality. |