IIIT-Delhi Institutional Repository

Browsing by Subject "Natural Language Processing"

Browsing by Subject "Natural Language Processing"

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  • Analysis and modeling of content and coherence for automatic scoring of L2 speakers 
    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 ...
  • Analysis and modelling of disfluency and as units for automatic scoring of L2 speakers 
    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 ...
  • Applications of language models and their biasness in clinical datasets 
    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. ...
  • Development of an open IE benchmark 
    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 ...
  • Grammatical error annotation tool for Hindi 
    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 ...
  • Legal text processing 
    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 ...
  • Low resource language processing 
    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 ...
  • Multimodal multi-speaker merger & acquisition (M3A) financial forecasting: a new task, dataset, and neural baselines 
    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 ...
  • NLP based predictions in ICU 
    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 ...
  • SANAYOJAN : a framework for traceability link recovery between use-cases in software requirement specification and regulatory documents 
    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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Understanding the impact of formality on virality of documents 
    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 ...
  • Web development for different interesting systems 
    Shokeen, Rasagya; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    My B.Tech project is based on Web development, wherein I was supposed to build a website and deploy an NLP model to implement text processing and generate reports based on the interpretation of the processed text. The ...

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