Doctoral Consortium
The Doctoral Consortium will span 1 day on Sunday, July 11. While the schedule is listed below, it is a closed, invitation-only event. All times listed below are in EDT.
DC Session 1
Time: 8:00 AM – 9:25 AM
Oleg Zendel – New Perspectives to Query Performance Prediction Evaluation
Mentors: Lorraine Goeuriot, Diane Kelly
Marcos Fernández Pichel – Estimating the Reliability of Health-related Search Results
Mentors: Susan Dumais, Diane Kelly
Congbo Ma – Improving Deep Learning based Multi-document Summarization through Linguistic Knowledge
Mentors: Jaap Kamps, Pengjie Ren
Jie Dai – Bridge the Gap: Industrial Data Pipeline oriented Recommendation Enhancement
Mentors: James Caverlee, Pengjie Ren
DC Session 2
Time: 9:45 AM – 11:10 AM
Guglielmo Faggioli – Enabling Performance Prediction in Information Retrieval Evaluation
Mentors: Susan Dumais, Hideo Joho
Alaa Elebshihy – Semi-automatic Labelling of Scientific Articles using Deep Learning to Enlarge Benchmark Data for Scientific Summarization
Mentors: Jaap Kamps, Ana Gabriela Maguitman
Cinthia Sánchez – Transfer Learning for the Multilingual and Multi-Domain Classification of Messages Relating to Crises
Mentors: James Caverlee, Jeanna Matthews
Tim Draws – Understanding How Algorithmic and Cognitive Biases in Web Search Affect User Attitudes on Debated Topics
Mentors: Jeanna Matthews, Heather O’Brien
DC Session 3
Time: 11:30 AM – 12:30 PM
Vít Novotný – Interpretable Document Representations for Fast and Accurate Retrieval of Mathematical Information
Mentors: Fiana Raiber, Yongfeng Zhang
Behrooz Mansouri – Embedding Formulae and Text for Improved Math Retrieval
Mentors: Kevyn Collins-Thompson, Nicola Ferro
Sabine Wehnert – HONto: A Bottom-Up Knowledge Base from Textbooks for Recommending Contextually Relevant Documents
Mentors: Kevyn Collins-Thompson, Ana Gabriela Maguitman