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 dernonco@adobe.com regarding internships anytime in the year. Internships typically result in publications and patents. Collaborations often continue after the internship.
A Comparison Study of Human Evaluated Automated Highlighting Systems
A Framework for Speech Recognition Benchmarking
A Web-based Framework for Collecting and Assessing Highlighted Sentences in a Document
MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolutional Neural Network
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
A Repository of Corpora for Summarization
Transfer Learning for Named-Entity Recognition with Neural Networks
Behind the scenes: A medical natural language processing project
PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks