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Aniket Pramanick

Ph.D. Student
UKP Lab, TU Darmstadt
first.last(at)tu-darmstadt(dot)de


About Me

Welcome to my academic nook!

I am a third-year PhD student at UKP Lab, TU Darmstadt, jointly supervised by Iryna Gurevych and Yufang Hou. I collaborate closely with Saif Mohammad at National Research Council Canada (NRC).

Prior to my doctoral pursuits, I honed my skills as a member of the Knowledge Representation and Reasoning Group at TCS Research, India. Before this, I completed my Master’s degree at the Indian Institute of Science, supervised by Partha Talukdar. I earned my Bachelor’s degree from Jadavpur University, writing my undergraduate thesis under the guidance of Dipankar Das.

Research Interests

I have a broad interest in Natural Language Processing, with a particular focus on Scholarly Document Processing. My recent research efforts are dedicated to developing systems aimed at aiding scientists in identifying, organizing, and summarizing valuable information within extensive collections of scientific literature.

Highlights

Publications

The latest publication list and citations can be found on my Google Scholar and Semantic Scholar profiles.

Preprints/Under Submission

  1. The Nature of NLP: Analyzing Contributions in NLP Papers
    Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych
    Under Submission
    PDF Code BibTex

  2. Transforming Scholarly Landscapes: Influence of Large Language Models on Academic Fields
    Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych
    Under Submission
    PDF Code BibTex

Peer-Reviewed Conference Papers

  1. A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why?
    Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych
    Empirical Methods in Natural Language Processing (EMNLP), 2023.
    PDF BibTex Oral Presentation

  2. The challenges of temporal alignment on Twitter during crises.
    Aniket Pramanick, Tilman Beck, Kevin Stowe, Iryna Gurevych
    Findings of the Association for Computational Linguistics (EMNLP), 2022.
    PDF Code BibTex

  3. Joint Learning of Representations for Web-tables, Entities, and Types using Graph Convolutional Network.
    Aniket Pramanick, Indrajit Bhattacharya
    European Chapter of the Association for Computational Linguistics (EACL), 2021.
    PDF BibTex

  4. Discovering Knowledge Graph Schema from Short Natural Language Text via Dialog.
    Subhasis Ghosh, Arpita Kundu, Aniket Pramanick, Indrajit Bhattacharya
    Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 2020.
    PDF BibTex

Workshop Papers

  1. Employing Rules to Detect and Interpret English Puns
    Aniket Pramanick, Dipankar Das
    Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval), 2017.
    PDF BibTex

  2. Employing Word Vectors for Identifying, Classifying and Summarizing Scientific Documents
    Aniket Pramanick, Salma Mandi, Monalisa Dey, Dipankar Das
    Proceedings of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL), 2017.
    PDF BibTex


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