Browsing by Author "Majumder, Prasenjit"

Now showing items 1-20 of 33

    • Abstractive text summarization using universal dependency labels, LSA and graph based approach 

      Pappan, Shiju (Dhirubhai Ambani Institute of Information and Communication Technology, 2016)
      With the advancements in technology and the increase in the available informationon the Internet it becomes a tiring task to go through each and everydocument available on net to get a gist of each. This could have been ...

    • Algorithmic Trading using Machine Learning 

      Soni, Maulik (Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
      This works aims to understand the different factors which influence the stock market and further use those factors to forecast its future values. The Nifty50 and NiftyBANK under National Stock Exchange India(NSE India) are ...

    • Approaches for temporal expression recognition in hindi 

      Ramrakhiyani, Nitin (Dhirubhai Ambani Institute of Information and Communication Technology, 2013)
      Temporal annotation of plain text is considered as a useful component of modern information retrieval tasks. In this work, different approaches for identification and classification of temporal expressions in Hindi are ...

    • Augmenting dialogue generation using dialogue act embeddings: a transfer learning approach 

      Bisht, Abhimanyu Singh (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      The following work looks at contemporary end-to-end dialogue systems with the aim of improving dialogue generation in an open-domain setting. It provides an overview of popular literature in the domain of dialogue generation, ...

    • Authorship attribution using quantitative analysis of languages. 

      Mehta, Parth (Dhirubhai Ambani Institute of Information and Communication Technology, 2013)
      In this work we propose a Kullback Liebler Divergence based method for authorship attribution. We examine several quantitative techniques of authorship attribution that have gained importance over the time including the ...

    • Biomedical information retrieval 

      Purabia, Pooja R. (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      It is well known that the volume of biomedical literature is growing exponentially and that scientists are being overwhelmed when they sift through the scope and diversity of this unstructured knowledge to find relevant ...

    • Biomedical Search Result Diversification 

      Popat, Nirali (Dhirubhai Ambani Institute of Information and Communication Technology, 2017)
      "Traditionally, it is assumed by the retrieval models that the document relevance is dependent only on the query and not on the relevance of the other documents in the rank list. However, this assumption may prove to be ...

    • Clickbait detection using deep learning Techniques 

      Parikh, Apurva Ketanbhai (2020)
      With the growing shift towards news consumption primarily through social media sites like Twitter, Facebook etc., most of the news agencies are prompting their stories on social media platform. These news agencies are ...

    • Compounding-aware Word Embedding for Improved Semantic Representation 

      Bhat, Shripad Anant (Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
      Existing word embedding approaches may not adequately capture the inherent complexities of a language, e.g. the word compounding phenomenon. While a class of data-driven approaches has been shown to be effective in embedding ...

    • Development of Neural Machine Translation Systems for Indian Languages 

      Prajapati, Raj B. (2021)
      Machine Translation has became a very promising field with the recent advent of Neural Machine Translation (NMT) systems.A lot of work has been done in a small span of time, starting from bilingual models to complex ...

    • Disease specific biomedical literature mining : A visual interface 

      Sen, Neelasha (Dhirubhai Ambani Institute of Information and Communication Technology, 2017)
      "The vast amount of online resources available in the biomdedical domain makes it challenging for the user to fulfill an information need. Most of the existing approaches for biomedical text mining try to alleviate the ...

    • Effective Voice Enabled Interface for resource poor language (Gujarati) 

      Trivedi, Shaili (Dhirubhai Ambani Institute of Information and Communication Technology, 2017)
      "Traditional approach consisting of ASR and IR is not much effective for short speech segment in the domain with higher word error rate[5].So IR system for spoken queries is one of the research areas in IR domain. Our aim ...

    • Entity Based Query Processing For Retrieval And Summarization In Biomedical Domain 

      Sankhavara, Jainisha (Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
      Exponential growth of biomedical literature poses different challenges in searching. To address complex information needs of the users, rigorous semantic processing of biomedical text is required. Biomedical information ...

    • From extractive to abstractive summarization: a journey 

      Mehta, Parth (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Research in the field of text summarisation has primarily been dominated by investigationsof various sentence extraction techniques with a significant focus towards news articles.In this thesis, we intend to look beyond ...

    • Integrating semantics into biomedical information retrieval 

      Thakrar, Fenny (Dhirubhai Ambani Institute of Information and Communication Technology, 2015)
      Integrating semantics into Biomedical Information Retrieval is concerned with studying the meaning of concepts and focusing on their relationships. We have used semantic document representation approach to applying ...

    • Job recommendation system 

      Thakur, Palak (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Recommender systems are being used in all types of web based services. As the amount of data available in each service is huge it is not possible to search all the relevant and useful information. So for this purpose we ...

    • Legal informatics 

      Goswami, Jankhana J. (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Legal text are increasing exponentially with use of digitization and internet. It is difficult to process such large and complex legal documents. Catchphrase extraction is used to give fair knowledge of legal issues ...

    • Microblog processing : summarization and impoliteness detection 

      Modha, Sandip Jayantilal (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      Social Media is an excellent source for studying human interaction and behavior. Sensing social media such as Facebook and Twitter, by the smart autonomous application empower its user community with real-time information ...

    • Online learning to rank 

      Karki, Kamlesh (Dhirubhai Ambani Institute of Information and Communication Technology, 2017)
      "Ranking of the documents has been always a prominent area of research in IR community. Most of the techniques for learning to rank evolved around Cranfield paradigm, in which supervised and semi-supervised machine learning ...

    • Personalized news recommender system using deep reinforcement learning 

      Gangopadhyay, Surupendu Prakash (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      News recommender system recommends news based on the user's interests and the content of the news articles. News recommender systems are different from other recommender systems as it always has to recommend latest news ...