Assessment of Free Responses
Automated evaluation and natural-language feedback for open-ended student responses, grounded in semantics and educational NLP.
Welcome to Language and Information Processing (LIPS) Lab
We advance the full cycle of language processing from text and meaning to generation through research in assessment, semantics, tutoring systems, and beyond.
“The surface to meaning and meaning to surface full cycle of language processing” offered by the Language and Information Processing (LIPS) Research Lab distinguishes us from other research groups in the field, most of which focus on subproblems of human language processing.
We have experience in developing solutions and systems capable of addressing the whole spectrum of issues starting with word detection to deep semantic processing and from discourse planning and micro-planning to lexical generation. The lab broadly addresses text retrieval aspects as part of our mission.
Research focus areas
Pushing the boundaries of language technology
Domain Modeling
Structured representations of knowledge domains and concepts to power reasoning, retrieval, and instructional systems.
Automated Authoring of Code Explanations
Generating clear natural language explanations of program behavior to support computing education and developer tools.
Semantic Similarity
Measuring and analyzing meaning relationships between texts for search, clustering, and downstream language applications.
Question Answering
Building systems that interpret questions and produce answers by combining retrieval, inference, and language understanding.
Intelligent Tutoring Systems
AI-powered tutoring that adapts to learners through dialogue, assessment, and personalized feedback at scale.
We are associated with
University schools, institutes, and partners
Computer Science Department
FedEx Institute of Technology
