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Ankan Mullick

7 accepted papers

2025

Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents

EMNLP 2025

Analyzing and processing vast amounts of textual data presents significant challenges in efficiently extracting key information.In this paper, we introduce '***Spotlight***’, a novel paradigm for information extraction that produces concise, engaging narratives by highlighting the most compelling as

2025

Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection

EMNLP 2025

The rise of multimodal data, integrating text, audio, and visuals, has created new opportunities for studying multimodal tasks such as intent detection. This work investigates the effectiveness of Large Language Models (LLMs) and non-LLMs, including text-only and multimodal models, in the multimodal

2024

A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents

EMNLP 2024finding

In task-oriented dialogue systems, intent detection is crucial for interpreting user queries and providing appropriate responses. Existing research primarily addresses simple queries with a single intent, lacking effective systems for handling complex queries with multiple intents and extracting dif…

Cited by 0SourcePDFScholar
2024

On The Persona-based Summarization of Domain-Specific Documents

ACL 2024findings

In an ever-expanding world of domain-specific knowledge, the increasing complexity of consuming, and storing information necessitates the generation of summaries from large information repositories. However, every persona of a domain has different requirements of information and hence their summariz…

2022

A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection

NAACL 2022findings

Systems like Voice-command based conversational agents are characterized by a pre-defined set of skills or intents to perform user specified tasks. In the course of time, newer intents may emerge requiring retraining. However, the newer intents may not be explicitly announced and need to be inferred…