AISB convention 2017

  In the run up to AISB2017 convention, I've asked Joanna Bryson, from the organising team, to answer few questions about the convention and what comes with it. Mohammad Majid al-Rifaie ( Tu...


Harold Cohen

Harold Cohen, tireless computer art pioneer dies at 87   Harold Cohen at the Tate (1983) Aaron image in background   Harold Cohen died at 87 in his studio on 27th April 2016 in Encintias California, USA.The first time I hear...


Dancing with Pixies?...

At TEDx Tottenham, London Mark Bishop (the former chair of the Society) demonstrates that if the ongoing EU flagship science project - the 1.6 billion dollar "Human Brain Project” - ultimately succeeds in understanding all as...


Computerised Minds. ...

A video sponsored by the society discusses Searle's Chinese Room Argument (CRA) and the heated debates surrounding it. In this video, which is accessible to the general public and those with interest in AI, Olly's Philosophy Tube ...


Connection Science

All individual members of The Society for the Study of Artificial Intelligence and Simulation of Behaviour have a personal subscription to the Taylor Francis journal Connection Science as part of their membership. How to Acce...



AISB event Bulletin Item

1st CALL FOR PAPERS: Computational Linguistics for Literature, 13-14 June 2013, Atlanta GA (U.S.A.)

Co-located with NAACL-HLT 2013

The amount of literary material available on-line keeps growing rapidly: there 
are machine-readable texts from libraries, collections and e-book stores, as 
well as "live" literature such as e-zines, blogs or self-published e-books. We 
need tools to help navigate, visualize and better appreciate the high volume of 
available literature.

We invite papers on applying state-of-the art NLP methods to literary data. 
What characteristics of literature make it special? Is it, indeed, a unique 
type of language data? How should we adapt our tools to find meaning in 
literary text? What lessons from automatic processing of literature could apply 
to other types of data?

Position papers are welcome, too.

Topics of interest (suitably related topics are welcome):

- the needs of the readers and how those needs translate into meaningful NLP 
- searching for literature;
- recommendation systems for literature;
- computational modelling of narratives, computational narratology;
- summarization of literature;
- finding similar books;
- differences between literature and other genres as relevant to computational 
- discourse structure in literature;
- emotion analysis for literature;
- profiling and authorship attribution;
- identification and analysis of literature genres;
- building and analyzing social networks of characters;
- generation of literary narrative, dialogue or poetry

All information, including our excellent program committee, announcements and 
updates, sits at: