Problems We Solve

The Computational Data Science Labs is a venture of Carnegie Mellon University’s Language Technologies Institute (LTI) in the School of Computer Science. The mission of the CDSL is to work with industry leaders to develop software tools that support the adaptation, integration and testing of the newest technologies in the fields of data science and language technologies.

Our areas of functionality include Natural Language Processing and Computational Linguistics, Information Retrieval, Text Mining and Analytics, Information Extraction, Summarization and Question Answering, Machine Learning, Multimodal Computing and Interaction, Language Technologies for Education, Machine Translation, Knowledge Representation, Reasoning and Acquisition, Computational Biology and Forecasting Epidemics, Social Media, Machine Reading, Speech Processing, Spoken Interfaces and Dialogue Processing

In practical terms, our faculty researchers work with our members to develop solutions to interesting research problems across our areas of expertise. We help companies design innovative and state of the art approaches to problems and to replace “solutions” that don’t fit because they lack the expert parameter tuning that our experts can provide. That means building things like intelligent systems that extract relevant data from huge databases of complex medical research findings, and developing a modular platform to analyze and visually organize streams of event-based videos and texts for event reconstruction. Our short-term goals are determined through collaboration between our researchers and the companies we partner with, but our long-term goals are clear: using cutting edge techniques to find innovative solutions to real-world problems. 

To vew examplse of this work, see our case studies.