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Eva Sharma

PhD Student

Contact

Office Location

177 Huntington Avenue
9th Floor
Boston, MA 02115

Biography

Eva Sharma is a Computer Science PhD student in College of Computer and Information Science at Northeastern University, advised by Prof. Lu Wang. Prior to Northeastern University, she completed her Master’s degree in Computer Science from Cornell University and her Bachelor’s degree (Gold Medalist) in Computer Science and Engineering from SRM University. Eva is broadly interested in language generation, text summarization and information retrieval.

Education

  • Master of Engineering, Cornell University
  • Bachelor of Technology, SRM University

About Me

  • Hometown: India
  • Field of Study: Computer Science
  • PhD Advisor: Lu Wang

What are the specifics of your graduate education (thus far)?

So far, I have been familiarizing myself with the latest advancements made in the field of text summarization and language generation. I have also been working on collecting US patent data for exploring text summarization problems.

What are your research interests in a bit more detail? Is your current academic/research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why?

My research primarily focuses on improving text summaries with better content coverage and linguistic quality along with better control on their length and style.

What’s one problem you’d like to solve with your research/work?

Creating and evaluating text summaries are both difficult tasks from humans as well, with no single correct answer. This makes these tasks even harder for machines. Thus, there is a greater need to concentrate on finding better methods to solve several long existing problems in this area.

What aspect of what you do is most interesting/fascinating to you? What aspects of your research (findings, angles, problems you’re solving) might surprise others?

Every single day, people use different of sources of media to stay informed — from news stories to social media posts to search results. It will be amazing to have machine learning models that can automatically deliver most accurate summaries with a capability to let users control several aspects of the summary like length, style and coverage. This will be very useful in digesting such large amounts of information in a compressed and customized form.

What are your research/career goals, going forward?

I am looking forward to exploring several problems in the area of text summarization and language generation. I would also like to work on related projects in industrial research labs.