Franck Dernoncourt

Research Scientist

San Jose

Franck is a researcher at Adobe Research in San Jose. He received his PhD in machine learning from MIT. His research interests include neural networks and natural language processing. He has worked on several NLP applications such as text classification, sequential labeling, named-entity recognition, question-answering systems, summarization, dialog systems, image editing by voice, and speech recognition.

For more details and links to papers:
Google Scholar
Personal website

Strong NLP PhD students are welcome to contact him at regarding internships anytime in the year. Internships typically result in publications and patents. Collaborations often continue after the internship.

My Publications

A Comparison Study of Human Evaluated Automated Highlighting Systems

Spala, S., Dernoncourt, F., Chang, W., Dockhorn, C. (Dec. 2, 2018)

A Web-based Framework for Collecting and Assessing Highlighted Sentences in a Document

Spala, S., Dernoncourt, F., Chang, W., Dockhorn, C. (Aug. 25, 2018)
Proceedings of the 27th International Conference on Computational Linguistics (COLING): System Demonstrations

MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolutional Neural Network

Jin, D., Dernoncourt, F., Sergeeva, E., McDermott, M., Chauhan, G. (Jun. 2, 2018)
Proceedings of The 12th International Workshop on Semantic Evaluation

A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents

Cohan, A., Dernoncourt, F., Kim, D., Bui, T., Kim, S., Chang, W., Goharian, N. (Jun. 1, 2018)
Proceedings of NAACL-HLT 2018

A Repository of Corpora for Summarization

Dernoncourt, F., Ghassemi, M., Chang, W. (May. 11, 2018)
Eleventh International Conference on Language Resources and Evaluation (LREC)

Transfer Learning for Named-Entity Recognition with Neural Networks

Lee, J., Dernoncourt, F., Szolovits, P. (May. 11, 2018)
Eleventh International Conference on Language Resources and Evaluation (LREC)

Behind the scenes: A medical natural language processing project

Wu, J., Dernoncourt, F., Gehrmann, S., Tyler, P., Moseley, E., Carlson, E., Grant, D., Li, Y., Welt, J., Celi, L. (Apr. 1, 2018)
International Journal of Medical Informatics

Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives

Gehrmann, S., Dernoncourt, F., Li, Y., Carlson, E., Wu, J., Welt, J., Jr, J., Moseley, E., Grant, D., Tyler, P., Celi, L. (Feb. 15, 2018)
PloS one