NL Seminar-NLP in Computational Journalism: notes from the field at the New York Times
Thu, Oct 03, 2019 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Alex Spangher, USC/ISI
Talk Title: NLP in Computational Journalism: notes from the field at the New York Times
Series: Natural Language Seminar
Abstract: Computational journalism is an emerging field seeking to enhance traditional journalistic processes -- story finding, production, distribution, funding, evaluation and security using computational techniques. Such advances comes at a critical time: journalists' ability to play a watchdog role in society is severely endangered by industry contraction and budget shortfalls.
Many exciting developments in computational journalism require research in NLP. In this talk, I'll discuss some prior work at the New York Times, including generative localized news articles, human-in-the-loop chat-bots, personalization, and coverage-pattern modeling. I'll also discuss long-term challenges we identified in a broad survey article done at Stanford University this summer, as well as my current research directions here at USC.
Biography: Alex Spangher was a data scientist at the New York Times, where he worked with journalists and newsroom stakeholders on data science to improve journalism coverage and revenue. He interned at Microsoft Research and spent a year as a PhD student at Carnegie Mellon University before transferring to the University of Southern California to work with Emilio Ferrara and Nanyun Peng. He has an M.S. in Journalism and an M.S. in Data Science from Columbia University, and received his B.S. from Columbia as well, in neuroscience and computer science. He enjoys playing classical piano and double bass.
Host: Emily Sheng
More Info: https://nlg.isi.edu/nl-seminar
Location: Information Science Institute (ISI) - CR #689
WebCast Link: https://bluejeans.com/684525530
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: https://nlg.isi.edu/nl-seminar