The purpose of the series of ACL workshops on Computational Linguistics for Literature is to bring together researchers fascinated with literature as a unique type of data which pose distinct challenges. We invite papers on original unpublished work in this broad area. In particular, we hope to see papers which explore how the state-of-the-art NLP methods can help solve existing research problems in the humanities, or perhaps suggest new problems.

Literary texts revolve around the human condition, emotions, social life and inner life. Naturally, such data abound in common-sense knowledge but are very thin on technical jargon. Can tools and methods developed in the ACL community help process literary data? When do they work, when do they fail and why? What new instruments do we need in order to work with prose and poetry, on a large or small scale? Are there computational solutions of noteworthy problems in the Humanities, Information Science, Library Sciences and other similar disciplines?

Here are some of the topics of interest to the workshop:

the needs of the readers and how these needs translate into meaningful NLP tasks;
searching for literature;
recommendation systems for literature;
computational modeling of narratives, computational narratology, computational folkloristics;
summarization of literature;
differences between literature and other types of writing as relevant to computational linguistics;
discourse structure in literature;
emotion analysis for literature;
profiling and authorship attribution;
identification and analysis of literary genres;
building and analyzing social networks of characters;
generation of literary narrative, dialogue or poetry;
modelling literary dialogue for generation.

We will consider regular papers which describe experimental methods or theoretical work, and we will gladly welcome position papers. The NLP community does not study literature often enough, so it is important to discuss and formulate the problems before proposing solutions.

The (tentative) submission deadline is January 23, 2014.


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