NLP research at UBC

The Natural Language Processing (NLP) group at University of British Columbia conducts diverse research works in Computational Linguistics, Text Mining, Machine Learning, and Visual Text Analytics. The NLP@UBC group comprises of Two senior faculty members, two post-doctoral researchers, several graduate students, and undergraduate research assistants. We focus the following research areas in particular (but not limited to):

• Mining and Summarizing Conversations (Emails, Meetings, Blogs, Chats)

  The main interest of this group is to automatically generate extractive and abstractive summary of human conversations like meetings, emails, blogs, chats etc.

• Understanding and Generating Evaluative Text

  In this direction, our interests include but not limited to subjectivity detection, and summarizing customer review data etc. More details here.

• Visual Text Analytics for Conversations

  In this area, our aim is to tightly integrating interactive visualization with text mining and summarization techniques for information exploration and scalable decision support. We are focusing on creating visual text analytic systems for several domains including but not limited to meeting, emails, blogs, social media such as Facebook and twitter.

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