Traditional research on passage and document retrieval mainly focuses on superficial similarities between the question and the passage (respectively document), such as cosine similarity. The main distinguishing focus of this workshop will be the use of deep neural networks and encoders for passage retrievals, such as the use of encoders to represent questions and passages, integrate attention mechanisms in the passage retrieval framework, etc. We invite two types of submissions, including original research papers (6-8 pages) as well as position papers (2-4 pages).
For more info please visit the workshop webpage, here.