Proceedings of the Fourth Workshop on Computational Linguistics for Literature (original) (raw)

Welcome to the 4 th edition of the Workshop on Computational Linguistics for Literature. After the rounds in Montréal, Atlanta and Göteborg, we are pleased to see both the familiar and the new faces in Denver. We are eager to hear what our invited speakers will tell us. Nick Montfort, a poet and a pioneer of digital arts and poetry, will open the day with a talk on the use of programming to foster exploration and fresh insights in the humanities. He suggests a new paradigm useful for people with little or no programming experience. Matthew Jockers's work on macro-analysis of literature is well known and widely cited. He has published extensively on using digital analysis to view literature diachronically. Matthew will talk about his recent work on modelling the shape of stories via sentiment analysis. This year's workshop will feature six regular talks and eight posters. If our past experience is any indication, we can expect a lively poster session. The topics of the 14 accepted papers are diverse and exciting. Once again, there is a lot of interest in the computational analysis of poetry. Rodolfo Delmonte will present and demo SPARSAR, a system which analyzes and visualizes poems. Borja Navarro-Colorado will talk about his work on analyzing shape and meaning in the 16 th and 17 th century Spanish sonnets. Nina McCurdy, Vivek Srikumar & Miriah Meyer propose a formalism for analyzing sonic devices in poetry and describe an open-source implementation. This year's workshop will witness a lot of work on parallel texts and on machine translation of literary data. Laurent Besacier & Lane Schwartz describe preliminary experiments with MT for the translation of literature. In a similar vein, Antonio Toral & Andy Way explore MT on literary data but between related languages. Fabienne Cap, Ina Rösiger & Jonas Kuhn explore how parallel editions of the same work can be used for literary analysis. Olga Scrivner & Sandra Kübler also look at parallel editionsin dealing with historical texts. Several other papers cover various aspects of literary analysis through computation. Prashant Jayannavar, Apoorv Agarwal, Melody Ju & Owen Rambow consider social network analysis for the validation of literary theories. Andreas van Cranenburgh & Corina Koolen investigate what distinguishes literary novels from less literary ones. Dimitrios Kokkinakis, Ann Ighe & Mats Malm use computational analysis and leverage literature as a historical corpus in order to study typical vocations of women in the 19 th century Sweden. Markus Krug, Frank Puppe, Fotis Jannidis, Luisa Macharowsky, Isabella Reger & Lukas Weimar describe a coreference resolution system designed specifically with fiction in mind. Stefan Evert, Thomas Proisl, Thorsten Vitt, Christof Schöch, Fotis Jannidis & Steffen Pielström explain the success of Burrows's Delta in literary authorship attribution. Last but not least, there are papers which do not fit into any other bucket. Marie Dubremetz & Joakim Nivre will tell us about automatic detection of a rare but elegant rhetorical device called chiasmus. Julian Brooke, Adam Hammond & Graeme Hirst describe a tool much needed in the community: GutenTag, a system for accessing Project Gutenberg as a corpus. iii To be sure, there will be much to listen to, learn from and discuss for everybody with the slightest interest in either NLP or literature. We cannot wait for June 4 (-:). This workshop would not have been possible without the hard work of our program committee. Many people on the PC have been with us from the beginning. Everyone offers in-depth, knowledgeable advice to both the authors and the organizers. Many thanks to you all! We would also like to acknowledge the generous support of the National Science Foundation (grant No. 1523285), which has allowed us to invite such interesting speakers.