Franck Dernoncourt

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Trung H. BuiSenior Research Scientist & Research Manager, Adobe ResearchVerified email at adobe.com
Thien Huu NguyenUniversity of OregonVerified email at cs.uoregon.edu
Walter ChangPrincipal Scientist, Adobe ResearchVerified email at adobe.com
Amir Pouran Ben VeysehZoomVerified email at zoom.us
David Seunghyun YoonResearch Scientist, Adobe ResearchVerified email at adobe.com
Viet LaiAdobe Research, S&P Global, University of OregonVerified email at adobe.com
Quan Hung TranResearch Scientist - Adobe ResearchVerified email at adobe.com
Ryan A. RossiAdobe ResearchVerified email at adobe.com
Nedim LipkaAdobe Systems IncVerified email at adobe.com
Ji Young Lee (Jenny)Software Engineer at GoogleVerified email at google.com
Rajiv JainAdobe ResearchVerified email at cs.umd.edu
Peter SzolovitsProfessor of Computer Science and Engineering, MITVerified email at mit.edu
Leo Anthony CeliMassachusetts Institute of TechnologyVerified email at mit.edu
Seokhwan KimGoogle Cloud AIVerified email at google.com
Sebastian GehrmannHead of Responsible AI, CTO Office, Bloomberg LPVerified email at bloomberg.net
Thamar SolorioMBZUAI & University of HoustonVerified email at uh.edu
Jiuxiang GuAdobe ResearchVerified email at adobe.com
Kalyan VeeramachaneniPrincipal Research Scientist, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Hanieh Deilamsalehy, Ph.D.Adobe ResearchVerified email at adobe.com
Vlad MorariuSenior Research Scientist, Adobe ResearchVerified email at adobe.com

Franck Dernoncourt

NLP/ML Researcher. MIT PhD.

Verified email at adobe.com - Homepage

Machine Learning Neural Networks Natural Language Processing


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A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents A Cohan, F Dernoncourt, DS Kim, T Bui, S Kim, W Chang, N Goharian NAACL 2018, 2018	848	2018
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks JY Lee, F Dernoncourt NAACL 2016, 2016	606	2016
De-identification of Patient Notes with Recurrent Neural Networks F Dernoncourt, JY Lee, O Uzuner, P Szolovits Journal of the American Medical Informatics Association, 2016	504	2016
Bias and Fairness in Large Language Models: A Survey IO Gallegos, RA Rossi, J Barrow, MM Tanjim, S Kim, F Dernoncourt, T Yu, ... Computational Linguistics 2024, 2023	311	2023
Secondary analysis of electronic health records MIT Critical Data Springer Nature, 2016	295	2016
Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives S Gehrmann, F Dernoncourt, Y Li, ET Carlson, JT Wu, J Welt, J Foote Jr, ... PloS one 13 (2), e0192360, 2018	294*	2018
Introduction to fuzzy logic F Dernoncourt Massachusetts Institute of Technology, 2013	283	2013
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks F Dernoncourt, JY Lee, P Szolovits EMNLP 2017, 2017	250	2017
PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts F Dernoncourt, JY Lee IJCNLP 2017, 2017	233	2017
Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review LA Celi, J Cellini, ML Charpignon, EC Dee, F Dernoncourt, R Eber, ... PLOS Digital Health 1 (3), e0000022, 2022	220	2022
ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning VD Lai, NT Ngo, APB Veyseh, H Man, F Dernoncourt, T Bui, TH Nguyen Findings of EMNLP 2023, 2023	212	2023
Transfer Learning for Named-Entity Recognition with Neural Networks JY Lee, F Dernoncourt, P Szolovits LREC 2018, 2017	179	2017
Rethinking self-attention: An interpretable self-attentive encoder-decoder parser K Mrini, F Dernoncourt, T Bui, W Chang, N Nakashole EMNLP Findings 2020, 2019	143*	2019
Scoring Sentence Singletons and Pairs for Abstractive Summarization L Lebanoff, K Song, F Dernoncourt, DS Kim, S Kim, W Chang, F Liu ACL 2019, 2019	130	2019
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition X Huang, L Xing, F Dernoncourt, MJ Paul LREC 2020, 2020	100	2020
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models M Du, V Manjunatha, R Jain, R Deshpande, F Dernoncourt, J Gu, T Sun, ... NAACL 2021, 2021	95	2021
A Compare-Aggregate Model with Latent Clustering for Answer Selection S Yoon, F Dernoncourt, DS Kim, T Bui, K Jung CIKM 2019, 2019	85	2019
Fine-grained Image Captioning with CLIP Reward J Cho, S Yoon, A Kale, F Dernoncourt, T Bui, M Bansal NAACL Findings 2022, 2022	81	2022
Extensively Matching for Few-shot Learning Event Detection VD Lai, F Dernoncourt, TH Nguyen ACL NUSE 2020, 2020	76	2020
Neural Networks for Joint Sentence Classification in Medical Paper Abstracts F Dernoncourt, JY Lee, P Szolovits EACL 2017, 2016	69	2016

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