Computational Linguistics for Literature

Schedule
Session I
09:00-09:05
Welcome
09:05-10:00
Genesis reads Macbeth: The role of stories in human intelligence (invited talk)
Patrick Henry Winston, MIT

10:00-10:30
Supervised Machine Learning for Hybrid Meter
Alex Estes and Christopher Hench, University of California at Berkeley

10:30-11:00
Coffee break

Session II
11:00-11:30
Automatic Text Generation by Learning from Literary Structures
Angel Daza, Hiram Calvo and Jesús Figueroa-Nazuno, Instituto Politécnico Nacional

11:30-12:00
Intersecting Word Vectors to Take Figurative Language to New Heights
Andrea Gagliano, Emily Paul, Kyle Booten and Marti A. Hearst, University of California at Berkeley

12:00-12:30
Gender-Distinguishing Features in Film Dialogue
Alexandra Schofield and Leo Mehr, Cornell University


12:30-14:00
Lunch break

Session III
14:00-14:05
Interactive Text Mining Suite, a teaser to accompany a demo
Olga Scrivner, Indiana University Bloomington

14:05-15:00
"The Not-Moth": Poetic Expression in Array Spaces of Computational Constellation (invited talk)
Loss Pequeño Glazier, University of Buffalo

15:00-15:30
Reconstructing Ancient Literary Texts from Noisy Manuscripts
Moshe Koppel, Moty Michaely and Alex Tal, Bar Ilan University & University of Haifa


15:30-16:00
Coffee break

Session IV
16:00-16:30
Syntax Matters for Rhetorical Structure: The Case of Chiasmus
Marie Dubremetz and Joakim Nivre, Uppsala University

16:30-17:00
Bilingual Chronological Classification of Hafez's Poems
Arya Rahgozar and Diana Inkpen, University of Ottawa

17:00-17:15
Wrap-up