News and Events
- Tutorial: "Discourse Processing and Its Applications in Text Mining," accepted and presented at ICDM 2018!
- Tutorial: "NLP for Conversations: Sentiment, Summarization, and Group Dynamics," accepted and presented COLING 2018!
- Enamul Hoque starts as an Assistant Professor at York University.
- Paper: "Interactive topic hierarchy revision for exploring a collection of online conversations," published in Information Visualization!
- Paper accepted to Canadian Conference on AI 2017!
- Paper accepted to BioNLP 2017, an ACL 2017 Workshop!
- Paper accepted to IJCNLP 2017!
- Two papers accepted to SIGdial 2017!
- Vaden Masrani completes his MSc and begins a PhD position with the UBC ML Group!
- Bita Nejat completes her MSc and begins a position at Yahoo!
- Co-Orgnaized EMNLP 2017 Workshop on New Frontiers in Summarization!
NLP research at UBC
The Natural Language Processing (NLP) group at University of British Columbia conducts research in Computational Linguistics, Text Mining, Machine Learning, and Visual Text Analytics. The NLP@UBC group comprises of two senior faculty members, post-doctoral researchers, graduate students, and undergraduate research assistants. We focus on the following research areas in particular (but not limited to):
Discourse Parsing
We have developed a top performer discourse parser. More details here.Mining and Summarizing Conversations (Emails, Meetings, Blogs, Chats)
We have worked on several mining tasks, including topic segmentation and labeling, sentiment analysis, controversiality and extracting the conversational structure. We have also developed novel approaches to automatically generating extractive and abstractive summary of conversations.Understanding, Generating and Summarizing Evaluative Text
In this direction, we have been working on generating evaluative arguments tailored to a model of the user preferences, as well as on generating multimedia extractive and abstractive summaries of large sets of evaluative documents (e.g., customer reviews)-
Visual Text Analytics for Conversations
In this area, our aim is to tightly integrate 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, customer reviews, social media such as Facebook and twitter.