Machine learning, speech/language/bioinformatics/music, submodularity & discrete optimization
Rik Koncel-Kedziorski works with professor Noah Smith in the Natural Language Processing group. His research is in machine learning techniques for document understanding and generation, focusing on intertextuality for technical documents, language grounding, and question answering. In generation, he is learning to write coherent multi-sentence texts which meet specified content and style goals. Koncel-Kedziorski earned his Ph.D. in Linguistics from the University of Washington.
Nikolaos Pappas works with professor Noah Smith in the Natural Language Processing group. Pappas is interested in creating unified, structure-aware, and sample efficient models of natural language. Previously, he did a postdoc working with James Henderson at the Idiap Research Institute's natural language understanding group and earned his doctoral degree in Electrical Engineering at EPFL.