IIIT-Delhi Institutional Repository

Browsing by Subject "Natural Language Processing"

Browsing by Subject "Natural Language Processing"

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  • Aggarwal, Gaurav; Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2021-05)
    This study focuses on understanding content and coherence for Automated Oral Proficiency Scoring and Feedback Generating System in the context of spontaneous speech of non-native(L2) English learners. We aim to understand ...
  • Mohan, Gandharv; Sharma, Akash; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2020-12)
    In this project, we attempt to understand how dis uencies in speech can be used in providing feedback for automated oral pro ciency scores in the context of spontaneous speech for L2 learn- ers of English. Our aim is to ...
  • Garg, Hardik; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2022-12)
    AI systems have achieved domain expert level performance in a number of healthcare tasks involving patients. However, these systems might also incorporate and amplify human biases contained in the datasets fed to them. ...
  • Sindhwani, Ishita; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-05-09)
    In response to the escalating demand for the generation of novel and diverse cooking recipes, this research in Natural Language Processing introduces a new tool—Ratatouille. The tool utilizes various Deep Learning models, ...
  • Gupta, Arsh; Makkar, Kshitij; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    With growing diversity in personal food preference and regional cuisine style, personalized information systems that can transform a recipe into any selected regional cuisine style that a user might prefer would help food ...
  • Gupta, Arsh; Makkar, Kshitij; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    With growing diversity in personal food preference and regional cuisine style, personalized information systems that can transform a recipe into any selected regional cuisine style that a user might prefer would help food ...
  • Bisht, Manak; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-05)
    Open Information Extraction (Open IE) is the task of extracting triples (subject, predicate, object) from plain text. Tools that perform these extractions are called Open IE extractors. While benchmarks to evaluate the ...
  • Singhal, Anmol; Oberoi, Tejas; Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2021-05)
    In recent years, researchers have started putting in extensive efforts for Natural Language Pro- cessing (NLP) in the context of Indic Languages like Hindi. Tasks like Spell and Grammar Correction, which have been ...
  • Wadhwa, Pritish; Satija, Gitansh Raj; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-07)
    Legal Domain has been explored by the scientific community only upto a limited extent. While there is some amount of research available in the United States of America, the amount of research in India in the same domain ...
  • Kumar, Tanya Sanjay; Shah, Rajiv Ratn (Advisor); K, Sarveswaran (Advisor) (IIIT-Delhi, 2022-05)
    Natural Language Processing has been one of the most important domain in computer linguistics in today’s world. Though there are various efficiently performing tools and models for various NLP subtasks for English, Indic ...
  • Agarwal, Siddhant; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Memes are highly prevalent in online social media content, making them a vital source for analysing their power in diffusing ideas online. Memes combine the appeal of visuals with compelling messages, which have the potential ...
  • Goel, Prakhar; Goyal, Mihir; Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2020-12)
    Financial risk prediction is an essential task in today’s financial markets, especially with the disclosure of important information such as Merger and Acquisition (M&A) calls nowadays. M&A calls often provide key insights ...
  • Bhatnagar, Akshala; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2021-05)
    Treatment notes from the pediatric ICU can be effectively used to construct a predictive model for the onset of shock with a lead time of 24 hours. If this disease is not diagnosed at an early stage, it can create multiple ...
  • Agarwal, Vibhor; Arora, Manik; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    This B.Tech project focuses on the development of an innovative mental health chatbot integrated into a Public Health Records app. The chatbot employs advanced natural language processing models for emotion classification ...
  • Jain, Ritika; Sureka, Ashish (Advisor) (2014-02-19)
    User requirement speci cation (URS) documents written in the form of free-form natural lan- guage text contain system use-case descriptions as one of the elements in the URS. For few application domains, some of the ...
  • 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 ...
  • 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 ...
  • Goel, Aniket; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Understanding complex biomedical information often requires specialized expertise, creating barriers for non-experts seeking access to crucial knowledge. This research focuses on the development of a biomedical text ...
  • 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 ...
  • Bansal, Rajat; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2019-11)
    Formality is an important dimension of language style. Texts of different genres tend to have different degrees of formality. The project aims at analyzing Reddit submissions across various categories/discourses and finding ...

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