IIIT-Delhi Institutional Repository

Browsing by Author "Chakraborty, Tanmoy (Advisor)"

Browsing by Author "Chakraborty, Tanmoy (Advisor)"

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  • Knowledge graph assisted extreme summarization of scientific documents in hyperbolic space 
    Mukherjee, Asmita; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-12)
    A research paper is a document that presents an original work and introduces new concepts and makes interconnections between them via arguments and statements. Extreme Summarization involves high compression of the information ...
  • Knowledge graph construction from text 
    Saini, Vipul; Mutharaju, Vijaya Raghava (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2020-06-05)
    Knowledge graphs have become quite popular and their utility is increasing at a very fast rate. There exist numerous extensive knowledge graphs that contain information on a plethora of topics. With new information ...
  • Mental health copilot (a conversational assistant for support seekers on online mental health platforms(OMHP)) 
    Gaur, Bhagesh; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor); Srivastava, Aseem (Advisor) (IIIT-Delhi, 2023-11-29)
    This thesis presents the development of Mental Health Co-Pilot (MH-CoPilot), a novel conversational assistant designed to revolutionize the support-seeking experience on Online Mental Health Platforms (OMHPs) like Reddit ...
  • Model explainability - in Context of Argument Mining 
    Yadav, Anunay; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor); Bagler, Ganesh (Advisor) (IIIT-Delhi, 2021-12)
    Argument mining is a rising research area in natural language processing, the goal of which is to extract argumentative structures from natural language texts. Such components contain a lot of information not only limited ...
  • Multimodal fake news detection on online social 
    Dabas, Karan; Kumaraguru, Ponnurangam (Advisor); Chakraborty, Tanmoy (Advisor); Shah, Rajiv Ratn (Advisor) (IIITD-Delhi, 2018-04-18)
    The rapid growth in the amount of fake news on instant messaging platforms and social media is a very serious concern in our society. Moreover, the ubiquitous availability of smartphones, affordable network infrastructure, ...
  • Multimodal sarcasm explanation 
    Desai, Poorav; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT- Delhi, 2021-08)
    Sarcasm is a pervading linguistic phenomenon and highly challenging to explain due to its subjectivity, lack of context and deeply-felt opinion. In the multimodal setup, sarcasm is conveyed through the incongruity between ...
  • Protecting sensitive nodes from misinformation diffusion in social networks 
    Kumari, Jahnvi; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2022-05)
    With the prevalence of social media as a medium of communication in today’s society, countering the spread of fake news on the network has become an important area of study. In this work, we study the notion of competing ...
  • Public wisdom matters! discourse-aware hyperbolic fourier co-attention for social-text classification 
    Grover, Karish; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-05)
    Social media has become the fulcrum of all forms of communication. Classifying social texts such as fake news, rumour, sarcasm, etc. has gained significant attention. The surface-level signals expressed by a social-text ...
  • Relative difficulty estimation in community answering services 
    Thukral, Deepak; Goyal, Vikram (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2018-04-18)
    Automatic estimation of relative difficulty of a pair of questions is an important and challenging problem in community question answering (CQA) services. There are limited studies which addressed this problem. Past studies ...
  • Relative difficulty estimation in community answering services 
    Pandey, Adesh; Thukral, Deepak; Gupta, Rishabh; Goyal, Vikram (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2017-11-16)
    Given a question on a crowd sourced Q&A platform, we tried to gauge the difficulty of the question. Earlier, we tried various NLP based techniques for this purpose. Now, we tried various graph models in order to model ...
  • Self-similarity in complex networks 
    Jain, Atishay; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-12)
    Complex networks have been studied and modeled extensively due to their relevance in various real-world systems such as the world-wide-web, telecommunication network and a variety of social networks. A large number of ...
  • Sentiment analysis of news and social-media for creating trading strategies 
    Kataria, Tushar; Agarwal, Vasu; Chakraborty, Tanmoy (Advisor) (IIITD-Delhi, 2018-11-26)
    The problem of stock market predictability has intrigued both academia and industry. In this thesis, we try to empirically predict the stock market using models from deep natural language processing. We review existing ...
  • Social network analysis 
    Ghatak, Shounak; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2022-12)
    In today’s e-commerce setting, it is becoming easier to commit fraud & escape undetected. In this thesis, we investigate the return to origin (RTO) problem. The aim is to build a robust model to label orders with an RTO ...
  • Social network analysis: incorporating real world message passing in GRLs 
    Dargar, Shashank; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2022-12)
    With social media becoming the primary source of how information is created, consumed and distributed, it is essential for the learning models to utilize the flow in order to get better understanding which can be later ...
  • Study of community aware network expanion 
    Sarika; Goyal, Vikram (Advisor); Chakraborty, Tanmoy (Advisor) (2018-06)
    Community detection has gained immense popularity in recent years. Real world networks consist of millions of nodes and edges. Groups of nodes exhibit interesting characteristics, whoseknowledge can be of great help in ...
  • Studying evolution of fake news to hate speech 
    Goel, Vasu; Sahnan, Dhruv; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-05)
    Curbing hate speech is undoubtedly a major challenge for online microblogging platforms like Twitter. While there have been studies around hate speech detection, it is not clear how hate speech _nds its way into an online ...
  • Targeted counterspeech generation 
    Goel, Manvi; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-05)
    Counterspeech is regarded as an effective method to counter or negate hate speech online. Various vanilla and controlled counterspeech generation strategies have been investigated in recent years, but often a single ...
  • Text generation for populating semi-structured tables 
    Mehta, Priya; Goyal, Vikram (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-12)
    Heterogeneous semi-structured tables are commonly used to represent data on the in- ternet. Recent years have seen a flurry of works in tasks that endeavor to comprehend such tabular information, such as table summarization, ...
  • Understanding and explaining affective traits in english and code-mixed conversations 
    Kumar, Shivani; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2024-03)
    In the past decade, Natural Language Processing has undergone a transformative journey, marked by profound changes. The realm of conversational discourse, in particular, has witnessed remarkable advancements, with contemporary ...

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