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

Multi-view Consistency for Relation Extraction via Mutual Information and Structure Prediction

Veyseh, A., Dernoncourt, F., Nguyen, T. (Feb. 12, 2020)
AAAI 2020

A Markov Network Model for Natural Language Semantic Matching

Wang, L., Bui, T., Dernoncourt, F., Modani, N. (Nov. 8, 2019)
ICDM 2019 Autonomous Machine Learning Workshop

Analyzing Sentence Fusion in Abstractive Summarization

Lebanoff, L., Muchovej, J., Dernoncourt, F., Kim, D., Kim, S, Chang, W., Liu, F. (Nov. 4, 2019)
EMNLP 2019 Summarization Workshop

On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning

Nguyen, T., Dernoncourt, F., Nguyen, T. (Nov. 3, 2019)
EMNLP 2019 LOUHI: The Tenth International Workshop on Health Text Mining and Information Analysis

Scoring Sentence Singletons and Pairs for Abstractive Summarization

Lebanoff, L., Song, K., Dernoncourt, F., Kim, D., Kim, S, Chang, W., Liu, F. (Aug. 2, 2019)
ACL 2019

DEFT: A corpus for definition extraction in free-and semi-structured text

Spala, S., Miller, N., Yang, Y., Dernoncourt, F., Dockhorn, C. (Aug. 1, 2019)

Modeling Visual Relationships in Language

Tan, H., Dernoncourt, F., Lin, Z., Bui, T., Bansal, M. (Jul. 28, 2019)
Proc. of ACL

Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation

Gehrmann, S., Layne, S., Dernoncourt, F. (Jun. 7, 2019)
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

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

De-identification of patient notes with recurrent neural networks

Dernoncourt, F., Lee, J., Uzuner, O., Szolovits, P. (Dec. 31, 2016)
Journal of the American Medical Informatics Association 2016

Feature-Augmented Neural Networks for Patient Note De-identification

Lee, J., Dernoncourt, F., Uzuner, O., Szolovits, P. (Dec. 11, 2016)
COLING Clinical NLP 2016

Improving patient cohort identification using natural language processing

Sarmiento, R., Dernoncourt, F. (Sep. 10, 2016)
Secondary Analysis of Electronic Health Records (pp 405-417)

Trend Analysis: Evolution of Tidal Volume Over Time for Patients Receiving Invasive Mechanical Ventilation

Mehta, A., Dernoncourt, F., Walkey, A. (Sep. 10, 2016)
Secondary Analysis of Electronic Health Records (pp 275-283)

Data Preparation for Secondary Analysis of Electronic Health Records

Pollard, T., Dernoncourt, F., Finlayson, S., Velasquez, A. (Sep. 10, 2016)
Secondary Analysis of Electronic Health Records (pp 101-114)

Hyperparameter selection

Dernoncourt, F., Nemati, S., Kassis, E., Ghassemi, M. (Sep. 10, 2016)
Secondary Analysis of Electronic Health Records (pp 419-427)

Spoken Language Understanding for DSTC 4

Dernoncourt, F., Lee, J., Bui, T., Bui, H. (Jan. 13, 2016)
The 7th International Workshop on Spoken Dialogue Systems (IWSDS 2016), Finland

Robust Dialog State Tracking for Large Ontologies

Dernoncourt, F., Lee, J., Bui, T., Bui, H. (Jan. 1, 2016)
International Workshop on Spoken Dialog Systems 2016, Finland