NL Seminar Recurrent Neural Networks for Narrative Prediction
Fri, Feb 03, 2017 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Melissa Roemmele, USC ICT
Talk Title: Recurrent Neural Networks for Narrative Prediction
Series: Natural Language Seminar
Abstract: Narrative prediction involves predicting what happens next in a story. This task has a long history in AI research but is now getting more recognition in the NLP community. In this talk I will describe three different evaluation schemes for narrative prediction, one of which the Story Cloze Test is the shared task for this years LSDSem workshop at EACL. I will present my ongoing efforts to develop Recurrent Neural Network based models that succeed on these evaluation frameworks, and discuss the particular challenges posed by each of them.
Biography: I am a PhD candidate at the USC Institute for Creative Technologies advised by Andrew Gordon in the Narrative Group. My thesis research explores machine learning approaches to automatically generating text based stories. I am interested in using this research to stimulate creativity in writing. More broadly, I am excited by any opportunity to use automated analysis of text data to give people new insights and ideas.
Host: Marjan Ghazvininejad and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/