activity
20202026
most citedWhy Settle for Just One? Extending EL++ Ontology Embeddings with Many-to-Many Relationships

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Using Machine Mental Imagery for Representing Common Ground in Situated Dialogue

Biswesh Mohapatra, Giovanni Duca, Laurent Romary +1

Situated dialogue requires speakers to maintain a reliable representation of shared context rather than reasoning only over isolated utterances. Current conversational agents often…

cs.CL2026

SpeechMapper: Speech-to-text Embedding Projector for LLMs

Biswesh Mohapatra, Marcely Zanon Boito, Ioan Calapodescu

Current speech LLMs bridge speech foundation models to LLMs using projection layers, training all of these components on speech instruction data. This strategy is computationally i…

cs.CL2026

Frame of Reference: Addressing the Challenges of Common Ground Representation in Situational Dialogs

Biswesh Mohapatra, Théo Charlot, Giovanni Duca +3

Common ground plays a critical role in situated spoken dialogs, where interlocutors must establish and maintain shared references to entities, events, and relations to sustain cohe…

cs.CL2024

Conversational Grounding: Annotation and Analysis of Grounding Acts and Grounding Units

Biswesh Mohapatra, Seemab Hassan, Laurent Romary +1

Successful conversations often rest on common understanding, where all parties are on the same page about the information being shared. This process, known as conversational ground…

cs.AI2021★ 1 cited

Why Settle for Just One? Extending EL++ Ontology Embeddings with Many-to-Many Relationships

Biswesh Mohapatra, Sumit Bhatia, Raghava Mutharaju +1

Knowledge Graph (KG) embeddings provide a low-dimensional representation of entities and relations of a Knowledge Graph and are used successfully for various applications such as q…

cs.CL2020

Simulated Chats for Building Dialog Systems: Learning to Generate Conversations from Instructions

Biswesh Mohapatra, Gaurav Pandey, Danish Contractor +1

Popular dialog datasets such as MultiWOZ are created by providing crowd workers an instruction, expressed in natural language, that describes the task to be accomplished. Crowd wor…