***Note*** Authors of papers submitted to the CIKM full and short paper tracks, but not accepted for publication in the main CIKM conference as a result of that reviewing process, are invited to submit their work for this workshop. The complete text and all scores of all of the reviews returned from the CIKM paper review process should be included, as an appendix to the re-submitted paper. Those reviews will be taken in to account when these papers are considered for workshop inclusion.
CALL FOR PAPERS
CIKM 2015 Workshop on Topic Models: Post-Processing and Applications Melbourne, Australia, 19 October 2015 https://sites.google.com/site/cikm2015topicmodels/
ABOUT THE WORKSHOP
Topic modelling is a popular tool for modelling document collections and has seen applications in a variety of domains, from medical science to digital humanities. Topic models provide an effective means of extracting topics from large document collections and have the advantage that they require no supervision or document labels. While topic models can be trained automatically, judicious processing of their output is often required in applications where human users interact directly with the topics generated by a model. For example, the raw output from topic models can be difficult to interpret and consequently labels (manually assigned or automatically generated) are often added to increase readability; visualisation of the relationship between documents and topics is not intuitively obvious and its design requires thoughtful consideration. In addition, topics can contain unrelated words which may make the navigation of the document collection difficult; a typical approach to tackle this is to filter out low quality topics by computing topic coherence. This workshop aims to bring together a wide range of tools and methodologies used in post-processing the output of topic models, with the goal of improving their usability and interpretation within user applications.
Topic coherence Extrinsic topic model evaluation Topic representation (generation of topic labels) Topic similarity Applications of topic models Visualisation of document collections with topic models (topic browsers) Multimodal topic models Data sets for evaluating topic qualities, including coherence, labels and similarity
Submission Due: July 6, 2015 Acceptance Notification: July 23, 2015 Camera-ready Due: August 7, 2015 Workshop Date: October 19, 2015
Melbourne, located on the east coast, is the second largest city in Australia. More than 3.5 million people live in the city, which has been voted The World's Most Liveable City on a number of occasions. Melbourne has a lively passion for social eating and drinking, which is reflected in the thousands of restaurants serving up gastronomic experiences from around the world.
Nikolaos Aletras, University College London, UK, nikos.aletras at gmail.com Jey Han Lau, King’s College London, UK, jeyhan.lau at gmail.com Timothy Baldwin, The University of Melbourne, Australia, tb at ldwin.net Mark Stevenson, University of Sheffield, UK, mark.stevenson at sheffield.ac.uk -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 4822 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20150622/f2bd6e3d/attachment.txt>