Faculty Recruiting Support CICS

CIIR Talk Series

26 Feb
Add to Calendar
Friday, 02/26/2021 1:00pm to 2:00pm
Virtual via Zoom
Special Event

Title: Retrieve-and-generate: How to Automatically Create Relevant Articles

Abstract: A lot of progress has been made towards answering specific formalized information needs, such as questions or detailed search queries. However users who familiarize themselves in a new domain would like to read overviews that explain "everything that one needs to know" about a topic, instead of having to ask questions one by one. So far, such users either find an overview article on the web or a wiki, or they are left to piece together this overview on their own. The vision of complex answer retrieval is to develop algorithms that can produce comprehensive overviews for given topics such as "Zika fever", "Green Sea Turtle", or "Reducing air pollution". The success of strong neural models for language generation suggest the feasibility of this idea. However, several tasks such as subtopic detection and story generation need to be addressed before retrieve-and-generate systems will provide information-rich, relevant, and useful overviews. This talk gives an overview of the research advances resulting from TREC Complex Answer Retrieval and the years since.

More information about the TREC CAR and the datasets are available at http://trec-car.cs.unh.edu.

Bio: Laura Dietz is an Assistant Professor at the University of New Hampshire, where she leads the lab for text retrieval, extraction, machine learning and analytics (TREMA). She organizes a tutorial/workshop series on Utilizing Knowledge Graphs in Text-centric Retrieval (KG4IR) and coordinates the TREC Complex Answer Retrieval Track. She received an NSF CAREER Award for utilizing fine-grained knowledge annotations in text understanding and retrieval. Previously, she was a research scientist at the Data and Web Science Group at Mannheim University and the Center for Intelligent Information Retrieval (CIIR) at UMass Amherst. She obtained her doctoral degree with a thesis on topic models for networked data from Max Planck Institute for Informatics.

To attend this talk via Zoom, click here. Participants will need a passcode to attend this event. If you need the passcode for this series, please see the event advertisement on the seminars email list or reach out to Alex Taubman. For any other questions about this event with the Center for Intelligent Information Retrieval, please contact Jean Joyce.