Ankan Mullick
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View article: IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning based Correction
IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning based Correction Open
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 predefined set of skills or intents to fulfill specific user …
View article: Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents
Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents Open
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 document. Unlike traditional summaries, which prioritize compreh…
View article: Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents
Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents Open
View article: Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection
Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection Open
View article: A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents Open
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 hand…
View article: Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization
Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization Open
The ever-increasing volume of digital information necessitates efficient methods for users to extract key insights from lengthy documents. Aspect-based summarization offers a targeted approach, generating summaries focused on specific aspe…
View article: On The Persona-based Summarization of Domain-Specific Documents
On The Persona-based Summarization of Domain-Specific Documents Open
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 d…
View article: Intent Detection and Entity Extraction from BioMedical Literature
Intent Detection and Entity Extraction from BioMedical Literature Open
Biomedical queries have become increasingly prevalent in web searches, reflecting the growing interest in accessing biomedical literature. Despite recent research on large-language models (LLMs) motivated by endeavours to attain generalize…
View article: Long Dialog Summarization: An Analysis
Long Dialog Summarization: An Analysis Open
Dialog summarization has become increasingly important in managing and comprehending large-scale conversations across various domains. This task presents unique challenges in capturing the key points, context, and nuances of multi-turn lon…
View article: MatSciRE: Leveraging pointer networks to automate entity and relation extraction for material science knowledge-base construction
MatSciRE: Leveraging pointer networks to automate entity and relation extraction for material science knowledge-base construction Open
View article: Exploring Multilingual Intent Dynamics and Applications
Exploring Multilingual Intent Dynamics and Applications Open
Multilingual Intent Detection and explore its different characteristics are major field of study for last few years. But, detection of intention dynamics from text or voice, especially in the Indian multilingual contexts, is a challenging …
View article: Novel Intent Detection and Active Learning Based Classification (Student Abstract)
Novel Intent Detection and Active Learning Based Classification (Student Abstract) Open
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 novel intents in a mono-lingual (primarily English) texts and…
View article: Novel Intent Detection and Active Learning Based Classification (Student Abstract)
Novel Intent Detection and Active Learning Based Classification (Student Abstract) Open
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 novel intents in a mono-lingual (primarily English) texts and…
View article: Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages
Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages Open
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 healthcare. To assess the current status of various state-of-t…
View article: Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages
Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages Open
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 healthcare. To assess the current status of various state-of-t…
View article: Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier Open
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 is deployed on varying dynamic environments, which causes a…
View article: An Evaluation Framework for Legal Document Summarization
An Evaluation Framework for Legal Document Summarization Open
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 important to summarize these documents, and ensure that summaries c…
View article: Fine-grained Intent Classification in the Legal Domain
Fine-grained Intent Classification in the Legal Domain Open
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 essential that the parts of the document that express an int…
View article: A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection Open
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 in…
View article: A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection Open
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 in…
View article: RTE: A Tool for Annotating Relation Triplets from Text
RTE: A Tool for Annotating Relation Triplets from Text Open
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 text. Relation extraction is an important task for extracting…
View article: Reproducibility Report: Contextualizing Hate Speech Classifiers with\n Post-hoc Explanation
Reproducibility Report: Contextualizing Hate Speech Classifiers with\n Post-hoc Explanation Open
The presented report evaluates Contextualizing Hate Speech Classifiers with\nPost-hoc Explanation paper within the scope of ML Reproducibility Challenge\n2020. Our work focuses on both aspects constituting the paper: the method\nitself and…
View article: Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanation
Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanation Open
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 both aspects constituting the paper: the method itself and th…
View article: MatScIE: An automated tool for the generation of databases of methods\n and parameters used in the computational materials science literature
MatScIE: An automated tool for the generation of databases of methods\n and parameters used in the computational materials science literature Open
The number of published articles in the field of materials science is growing\nrapidly every year. This comparatively unstructured data source, which contains\na large amount of information, has a restriction on its re-usability, as the\ni…
View article: Public Sphere 2.0: Targeted Commenting in Online News Media
Public Sphere 2.0: Targeted Commenting in Online News Media Open
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 effective tools for reader engagement is commenting, where news re…
View article: Understanding Psycholinguistic Behavior of Predominant Drunk Texters in Social Media
Understanding Psycholinguistic Behavior of Predominant Drunk Texters in Social Media Open
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 social connections. In this online digital world, people use to…
View article: Understanding Psycholinguistic Behavior of predominant drunk texters in\n Social Media
Understanding Psycholinguistic Behavior of predominant drunk texters in\n Social Media Open
In the last decade, social media has evolved as one of the leading platform\nto create, share, or exchange information; it is commonly used as a way for\nindividuals to maintain social connections. In this online digital world,\npeople use…
View article: A Generic Opinion-Fact Classifier with Application in Understanding Opinionatedness in Various News Section
A Generic Opinion-Fact Classifier with Application in Understanding Opinionatedness in Various News Section Open
In this paper, we build a generic opinion-fact classifier to detect opinions and facts from online news articles and social media datasets such as Youtube comments and idiom hashtags. We further use this classification model to compare opi…