18 citations · 41 across the 18 of their papers we have counts for
20 papers
IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning based Correction
Ankan Mullick, Sukannya Purkayastha, Saransh Sharma +2
Voice-controlled dialog systems have become immensely popular due to their ability to perform a wide range of actions in response to diverse user queries. These agents possess a pr…
Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents
Ankan Mullick, Sombit Bose, Rounak Saha +6
In this paper, we introduce Spotlight, a novel paradigm for information extraction that produces concise, engaging narratives by highlighting the most compelling aspects of a docum…
Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection
Ankan Mullick, Saransh Sharma, Abhik Jana +1
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…
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents
Ankan Mullick, Sombit Bose, Abhilash Nandy +2
In task-oriented dialogue systems, intent detection is crucial for interpreting user queries and providing appropriate responses. Existing research primarily addresses simple queri…
Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization
Ankan Mullick, Sombit Bose, Rounak Saha +6
The ever-increasing volume of digital information necessitates efficient methods for users to extract key insights from lengthy documents. Aspect-based summarization offers a targe…
On The Persona-based Summarization of Domain-Specific Documents
Ankan Mullick, Sombit Bose, Rounak Saha +5
In an ever-expanding world of domain-specific knowledge, the increasing complexity of consuming, and storing information necessitates the generation of summaries from large informa…
Intent Detection and Entity Extraction from BioMedical Literature
Ankan Mullick, Mukur Gupta, Pawan Goyal
Biomedical queries have become increasingly prevalent in web searches, reflecting the growing interest in accessing biomedical literature. Despite recent research on large-language…
Long Dialog Summarization: An Analysis
Ankan Mullick, Ayan Kumar Bhowmick, Raghav R +4
Dialog summarization has become increasingly important in managing and comprehending large-scale conversations across various domains. This task presents unique challenges in captu…
MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Construction
Ankan Mullick, Akash Ghosh, G Sai Chaitanya +5
Material science literature is a rich source of factual information about various categories of entities (like materials and compositions) and various relations between these entit…
Novel Intent Detection and Active Learning Based Classification (Student Abstract)
Ankan Mullick
Novel intent class detection is an important problem in real world scenario for conversational agents for continuous interaction. Several research works have been done to detect no…
Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages
Ankan Mullick, Ishani Mondal, Sourjyadip Ray +3
Scarcity of data and technological limitations for resource-poor languages in developing countries like India poses a threat to the development of sophisticated NLU systems for hea…
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier
Harshita Boonlia, Tanmoy Dam, Md Meftahul Ferdaus +2
In real world scenarios, out-of-distribution (OOD) datasets may have a large distributional shift from training datasets. This phenomena generally occurs when a trained classifier…
An Evaluation Framework for Legal Document Summarization
Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis +3
A law practitioner has to go through numerous lengthy legal case proceedings for their practices of various categories, such as land dispute, corruption, etc. Hence, it is importan…
Fine-grained Intent Classification in the Legal Domain
Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis +2
A law practitioner has to go through a lot of long legal case proceedings. To understand the motivation behind the actions of different parties/individuals in a legal case, it is e…
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection
Ankan Mullick, Sukannya Purkayastha, Pawan Goyal +1
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 int…
RTE: A Tool for Annotating Relation Triplets from Text
Ankan Mullick, Animesh Bera, Tapas Nayak
In this work, we present a Web-based annotation tool `Relation Triplets Extractor' \footnote{https://abera87.github.io/annotate/} (RTE) for annotating relation triplets from the te…
Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanation
Kiran Purohit, Owais Iqbal, Ankan Mullick
The presented report evaluates Contextualizing Hate Speech Classifiers with Post-hoc Explanation paper within the scope of ML Reproducibility Challenge 2020. Our work focuses on bo…
Public Sphere 2.0: Targeted Commenting in Online News Media
Ankan Mullick, Sayan Ghosh, Ritam Dutt +2
With the increase in online news consumption, to maximize advertisement revenue, news media websites try to attract and retain their readers on their sites. One of the most effecti…
Understanding Psycholinguistic Behavior of predominant drunk texters in Social Media
Suman Kalyan Maity, Ankan Mullick, Surjya Ghosh +4
In the last decade, social media has evolved as one of the leading platform to create, share, or exchange information; it is commonly used as a way for individuals to maintain soci…
Understanding Book Popularity on Goodreads
Suman Kalyan Maity, Ayush Kumar, Ankan Mullick +2
Goodreads has launched the Readers Choice Awards since 2009 where users are able to nominate/vote books of their choice, released in the given year. In this work, we question if th…