Dr. Nedim Lipka is a researcher in Natural Language Processing and Artificial Intelligence, currently serving as a Senior Research Scientist within the Document Intelligence Lab at Adobe Research, where he leads a group focused on agentic intelligence. His career has evolved from his previous role at Adobe’s Big Data Experience Lab, where he concentrated on statistical machine learning from web data, particularly user-generated content and behavior, and developed a passion for Natural Language Understanding in conversational services. Nedim’s academic foundation was laid at the Web Technology and Information Systems group at the Bauhaus-Universität Weimar, where he gained expertise in data mining, machine learning, and text classification.

Nedim’s research centers on agentic intelligence, exploring the creation of autonomous agents capable of intelligent behavior within document environments. This involves investigating areas such as autonomous document processing, intelligent assistants for document understanding, and agents that can execute tasks on complex document structures and semantics. Nedim’s publications in top-tier NLP and IR conferences can be found here, including a Best Paper Award at the Web Conference in 2020 for his work on open intent extraction.

Beyond his publications, Nedim holds multiple patents in NLP and AI, with recent examples covering areas such as graph neural networks, text summarization, multi-agent systems, attribution, and document understanding methodologies. He also actively engages with the research community by frequently serving on program committees and acting as an Area Chair for major NLP and IR conferences. His ongoing work in agentic intelligence and document understanding contributes to the advancement of intelligent systems for interacting with digital documents.

Publications

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes

Gallegos, Isabel., Aponte, Ryan., Rossi, Ryan., Barrow, Joe., Tanjim, Mehrab., Yu, Tong., Deilamsalehy, Hanieh., Zhang, Ruiyi., Kim, Sungchul., Dernoncourt, Franck., Lipka, Nedim., Owens, Deonna., Gu, Jiuxiang. (May. 4, 2025)

NAACL 2025

MoDS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections

Balepur, Nishant., Siu, Alexa., Lipka, Nedim., Dernoncourt, Franck., Sun, Tong., Boyd-Graber, Jordan., Mathur, Puneet. (May. 2, 2025)

NAACL 2025

Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions

Luera, Reuben., Rossi, Ryan., Dernoncourt, Franck., Siu, Alexa., Kim, Sungchul., Yu, Tong., Zhang, Ruiyi., Chen, Xiang., Lipka, Nedim., Zhang, Zhehao., Kim, Seon., Lee, Tak. (May. 2, 2025)

WWW 2025

KaPQA: Knowledge-Augmented Product Question-Answering

Eppalapally, Swetha., Dangi, Daksh., Bhat, Chaithra., Gupta, Ankita., Zhang, Ruiyi., Bagga, Karishma., Yoon, David., Lipka, Nedim., Rossi, Ryan., Dernoncourt, Franck. (Aug. 16, 2024)

ACL 2024 Workshop on Knowledge Augmented Methods for NLP

Editing Partially Observable Networks via Graph Diffusion Models

Trivedi, Puja., Rossi, Ryan., Arbour, David., Yu, Tong., Dernoncourt, Franck., Kim, Sungchul., Lipka, Nedim., Park, Namyong., Ahmed, Nesreen., Koutra, Danai. (Jul. 27, 2024)

ICML 2024

OATS: A Challenge Dataset for Opinion Aspect Target Sentiment Joint Detection for Aspect-Based Sentiment Analysis

Chebolu, Siva., Dernoncourt, Franck., Lipka, Nedim., Solorio, Thamar. (May. 25, 2024)

LREC-COLING 2024

A Review of Datasets for Aspect-based Sentiment Analysis

Chebolu, Siva., Dernoncourt, Franck., Lipka, Nedim., Solorio, Thamar. (Nov. 4, 2023)

IJCNLP-AACL 2023

TaleStream: Supporting Story Ideation with Trope Knowledge

Chou, Jean-Peïc., Agrawala, Maneesh., Siu, Alexa., Lipka, Nedim., Rossi, Ryan., Dernoncourt, Franck. (Nov. 1, 2023)

UIST 2023

How Small Businesses Transform PDF Agreements into Action

So, Jianna., Lipka, Nedim., Siu, Alexa., Rossi, Ryan., Dernoncourt, Franck. (Oct. 18, 2023)

CSCW 2023 Posters

Envisioning the Next-Gen Document Reader

Yeh, Catherine., Lipka, Nedim., Dernoncourt, Franck. (Feb. 14, 2023)

AAAI-23 Workshop on Scientific Document Understanding

Task-Oriented Near-Lossless Burst Compression

Jiang, Weixin., Wu, Gang., Swaminathan, Vishy., Petrangeli, Stefano., Wang, Haoliang., Rossi, Ryan., Lipka, Nedim. (Dec. 5, 2022)

IEEE International Symposium on Multimedia (ISM)

One-pass algorithms for map inference of nonsymmetric determinantal point processes

Reddy, Aravind., Rossi, Ryan., Song, Zhao., Rao, Anup., Mai, Tung., Lipka, Nedim., Wu, Gang., Koh, Eunyee., Ahmed, Nesreen. (Mar. 28, 2022)

International Conference on Machine Learning (ICML)

A Framework for Knowledge-Derived Query Suggestions

Rezayi, Saed., Lipka, Nedim., Vinay, Vishwa., Rossi, Ryan., Dernoncourt, Franck., King, Tracy., Li, Sheng. (Dec. 17, 2021)

2021 IEEE International Conference on Big Data

StreamHover: Livestream Transcript Summarization and Annotation

Cho, Sangwoo., Dernoncourt, Franck., Ganter, Tim., Bui, Trung., Lipka, Nedim., Chang, Walter., Jin, Hailin., Brandt, Jonathan., Foroosh, Hassan., Liu, Fei. (Nov. 9, 2021)

Empirical Methods in Natural Language Processing (EMNLP)

Exploring Conditional Text Generation for Aspect-based Sentiment Analysis

Chebolu‬, Siva., Dernoncourt, Franck., Lipka, Nedim., Solorio, Thamar. (Nov. 7, 2021)

PACLIC 2021

Syntopical Graphs for Computational Argumentation Tasks

Barrow, Joe., Jain, Rajiv., Lipka, Nedim., Dernoncourt, Franck., Morariu, Vlad., Manjunatha, Varun., Oard, Douglas., Resnik, Philip., Wachsmuth, Henning. (Aug. 4, 2021)

ACL 2021

PSED: A Dataset for Selecting Emphasis in Presentation Slides

Shirani, Amirreza., Tran, Giai., Trinh, Hieu., Dernoncourt, Franck., Lipka, Nedim., Echevarria, Jose., Solorio, Thamar., Asente, Paul. (Aug. 4, 2021)

ACL 2021 Findings

Learning to Emphasize: Dataset and Shared Task Models for Selecting Emphasis in Presentation Slides

Shirani, Amirreza., Tran, Giai., Trinh, Hieu., Dernoncourt, Franck., Lipka, Nedim., Asente, Paul., Echevarria, Jose., Solorio, Thamar. (Feb. 8, 2021)

AAAI 2021 Workshop on Content Authoring and Design (CAD21)

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

Shirani, Amirreza., Dernoncourt, Franck., Lipka, Nedim., Asente, Paul., Echevarria, Jose., Solorio, Thamar. (Dec. 13, 2020)

SemEval 2020

Let Me Choose: From Verbal Context to Font Selection

Shirani, Amirreza., Dernoncourt, Franck., Echevarria, Jose., Asente, Paul., Lipka, Nedim., Solorio, Thamar. (Jul. 8, 2020)

ACL 2020

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

Shirani, Amirreza., Dernoncourt, Franck., Asente, Paul., Lipka, Nedim., Kim, Seokhwan., Echevarria, Jose., Solorio, Thamar. (Aug. 2, 2019)

ACL 2019

Supervised Transfer Learning for Product Information Question Answering

Lai, Tuan., Bui, Trung., Lipka, Nedim., Li, Sheng. (Dec. 17, 2018)

Proc. of ICMLA

Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability

Yeo, Jinyoung., Hwang, Seung-won., Kim, Sungchul., Koh, Eunyee., Lipka, Nedim. (Nov. 30, 2018)

IEEE Transactions on Knowledge and Data Engineering