Computational Linguistics and Information Processing
Revision as of 05:01, 8 February 2019 by Nhf
Computational Linguistics and Information Processing at Maryland
The CLIP Laboratory at Maryland is engaged in designing algorithms and methods that allow computers to effectively and efficiently perform human language-related tasks, as well as using computational methods to improve our scientific understanding of the human capacity for language, and to explore heterogeneous datasets at scale. With faculty, researchers, and students spanning the Department of Computer Science, the Department of Linguistics, the iSchool, and the Robert H. Smith School of Business, we are a group known not only for high quality research but also intellectual diversity and the strength of our collaborations.
We are part of the broadercenter at Maryland, which integrates social and biological sciences with computer science and engineering. A number of language researchers in the CLIP lab are also affiliated with the . The lab is a part of the , and it is located in AV Williams 3146.
CLIP research covers major areas of computational research on language, including (but not limited to!) deep learning, human-in-the-loop machine learning, multilingual text processing and low-resource languages, machine translation, and computational psycholinguistics. We also study speech retrieval and cross-language information retrieval. Additional challenges include summarization, ranking and personalization, computational social science NLP for mental health, data science for finance, data science for social good and e-discovery.
For further information about the CLIP Laboratory, feel free to contact its current director, Prof. Jordan Boyd-Graber.