Nedim Lipka

Sr. Research Scientist

San Jose

Dr. Nedim Lipka is a senior research scientist at the Big Data Experience Lab of Adobe Research. His main research interests are in statistical machine learning from volatile web data, especially, from user-generated content and user behavior.

He is passionate about research in the field of Natural Language Understanding with applications in conversational services.

Prior to joining Adobe in November 2012, he worked as a research associate at the Web Technology and Information Systems group at the Bauhaus-Universität Weimar, Germany, where he developed expertise in data mining, machine learning, and text classification. He has been published at several international conferences (e.g., ICDM, WWW, CIKM, SIGIR, ECIR, CLEF) and serves frequently in the program committees of NLP and IR conferences. Most of the publications can be found here.


SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media

Shirani, A., Dernoncourt, F., Lipka, N., Asente, P., Echevarria, J., Solorio, T. (Dec. 13, 2020)

SemEval 2020

Let Me Choose: From Verbal Context to Font Selection

Shirani, A., Dernoncourt, F., Echevarria, J., Asente, P., Lipka, N., Solorio, T. (Jul. 8, 2020)

ACL 2020

Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions

Shirani, A., Dernoncourt, F., Asente, P., Lipka, N., Kim, S., Echevarria, J., Solorio, T. (Aug. 2, 2019)

ACL 2019

Supervised Transfer Learning for Product Information Question Answering

Lai, T., Bui, T., Lipka, N., Li, S. (Dec. 17, 2018)

Proc. of ICMLA

Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability

Yeo, J., Hwang, S., Kim, S., Koh, E., Lipka, N. (Nov. 30, 2018)

IEEE Transactions on Knowledge and Data Engineering