Workshop on Big Data and Human Language Technology
Monday, October 14, 2013 & Tuesday, October 15, 2013
Hosted by: Copenhagen Business School Department of IT Management, Department of Computer Science at Columbia University, The Institute for Data Sciences and Engineering, and the Center for Computational Learning Systems
Sponsored in part by the Danish Agency for Science, Technology and Innovation
Columbia University, Davis Auditorium, Room 412 Schapiro CEPSR
A two-day workshop that brings together leading researchers from the US and Denmark in an event that explores Social Media, Big Data and Language Technology. The explosion of unstructured text on the web presents new challenges and opportunities for business and researchers.
This workshop brings together leading language technology researchers from the US and Denmark, and seeks to explore some of the challenges and opportunities presented by Big Data -- the massive amount of unstructured, user-generated data on social media platforms such as Facebook and Twitter. We wish to build bridges between language technology researchers and potential users of language technology in business, government and other organizations. The workshop is jointly organized by the Institute for Data Sciences and Engineering at Columbia University in New York and the Dept of IT Management at Copenhagen Business School. It will consist of presentations of the latest results from research labs in language technologies such as sentiment analysis, topic tracking, summarization, and automatic translation. In addition, business leaders will present their perspective on current and potential uses of these technologies.
All are welcome to participate with our two-day conference. Please specify which day or days you plan to attend. Any questions about the event, please email Lauren Mazurowski, email@example.com.
The workshop will include light refreshments both days, and a reception following the last presentation on Monday evening. We will have lunches available for a fee should you wish to join other conference participants for discussion during the lunch break. If you would like to purchase a lunch, it would be best to pre-pay when registering. There will be a limited number of lunches available for first-come, first-served participants who did not pre-pay.