Natural Language Processing

blogs

Computational Social Sciences

-- Prof. Ponnurangam Kumaraguru -- Sciences and Social sciences are often considered apart but Prof. Ponnurangam Kumaraguru, Professor of Computer Science at IIIT-Hyderabad and Associate Researcher at Robert Bosch Centre for Data Science and AI, believes that technology has so much to offer to social sciences. Therefore, Prof. Kumaraguru is carrying out research in an emerging area called Computational Social Sciences. To know more about his research in this field, Prof.

• Aug 23, 2022

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Extracting cues of causality from Medical text to mine factors related to Sjögren’s Syndrome

-- Dr. Sunandan Chakraborty -- The web is a sea of information where the much-needed information may just seem a click away! However, mining exhaustive information from the web is not a trivial and straightforward task as it looks to be. Therefore, AI researchers are developing natural language processing models to mine relevant information from the web. One such researcher is Dr. Sunandan Chakraborty, Assistant Professor at the School of Informatics and Computing at Indiana University.

• Aug 23, 2022

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DailyDialog++ and DEB: A new dataset and new metric to make the evaluation of chatbots and dialogue systems better

How are you feeling today? Good, Great, fine, bad, worst, bored? Either way, you are feeling, you will agree that there is no one right answer to that question and many other millions of questions where multiple answers are correct. While you, as a human, would understand that for some questions there is no single right answer, it’s difficult to teach this to machines! This is one of the problems AI researchers are struggling with today, especially in the chatbot and virtual assistant space.

By Ananya B. Sai , By Akash Kumar Mohankumar

• Apr 18, 2022

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people

Gokul S Krishnan

Research Scientist

Specialization:

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Sriraam Natarajan

Professor, Director Center for Machine Learning, The University of Texas at Dallas

Specialization:

structured and uncertain domains, Learning and inference in large, Natural Language Processing, Predicting Onset of Clinical Events

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Ashish Tendulkar

Machine Learning Architect, Google Research

Specialization:

Natural Language Processing, Machine Learning, Computational Biology

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Aravindan Raghuveer

Senior Engineering Manager, Google Research

Specialization:

Information Retrieval, Computational Advertising, Natural Language Processing

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Anasua Mitra

PhD Scholar (External)

Specialization:

Graph Representation Learning, Natural Language Processing

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Shreya Goyal

Post Doctoral Fellow

Specialization:

Computer vision, Natural Language Processing

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Debargha Bhattacharjee

MS Scholar

Specialization:

Natural Language Processing, Reinforcement Learning

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Jeshuren Chelladurai

PhD Scholar

Specialization:

Deep Learning for Knowledge Graphs, Natural Language Processing

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Nikitha Moghe

MS Scholar

Specialization:

Natural Language Processing, Deep Learning, Dialog Systems, Representation Learning

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Preksha Nema

PhD Scholar

Specialization:

Deep Learning, Natural Language Processing

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Joseph Hosanna Raj Isaac

Specialization:

Virtual Reality, Machine Learning, Machine Vision, Natural Language Processing

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Neeraja Kirtane

Post Baccalaureate Fellow

Specialization:

Graph DL, Natural language processing, Fairness and ethics in AI

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projects

Mitesh M Khapra

Attention Mechanisms in Deep Neural Networks

deep learning reinforcement learning

publications

Predicting software defect type using concept-based classification

Sangameshwar Patil, B Ravindran,

Empirical Software Engineering

https://doi.org/10.1007/s10664-019-09779-6