Browsing Year-2021 by Author "Chakraborty, Tanmoy (Advisor)"

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Adversarial network mining

Sharma, Ansh Kumar; Kukreja, Rahul; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-12)

Recent advancements in the field of graph representation learning and the introduction of algorithms like DeepWalk, LINE and Graph Convolutional Networks (GCNs) have helped achieve state-of-the-art results for tasks like ...
Model explainability - in Context of Argument Mining

Yadav, Anunay; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Evaluator); Bagler, Ganesh (Evaluator) (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 ...
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 ...
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 ...

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