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Books and Theses
- 2013
[b1]Nedim Lipka:
Modeling Non-Standard Text Classification Tasks. Bauhaus University, Weimar, Germany, 2013
Journal Articles
- 2020
- [j2]Jinyoung Yeo
, Seung-won Hwang, Sungchul Kim, Eunyee Koh, Nedim Lipka:
Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability. IEEE Trans. Knowl. Data Eng. 32(2): 246-259 (2020) - 2011
- [j1]Benno Stein, Nedim Lipka, Peter Prettenhofer:
Intrinsic plagiarism analysis. Lang. Resour. Evaluation 45(1): 63-82 (2011)
Conference and Workshop Papers
- 2024
- [c58]Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr:
Knowledge Graph Prompting for Multi-Document Question Answering. AAAI 2024: 19206-19214 - [c57]Farnaz Nouraei, Alexa F. Siu, Ryan A. Rossi, Nedim Lipka:
Thinking Outside the Box: Non-Designer Perspectives and Recommendations for Template-Based Graphic Design Tools. CHI Extended Abstracts 2024: 326:1-326:9 - [c56]Raymond Fok, Nedim Lipka, Tong Sun, Alexa F. Siu:
Marco: Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language Models. CHI 2024: 842:1-842:20 - [c55]Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka, Thamar Solorio:
OATS: A Challenge Dataset for Opinion Aspect Target Sentiment Joint Detection for Aspect-Based Sentiment Analysis. LREC/COLING 2024: 12336-12347 - [c54]Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra:
Editing Partially Observable Networks via Graph Diffusion Models. ICML 2024 - 2023
- [c53]Catherine Yeh, Nedim Lipka, Franck Dernoncourt:
Envisioning the Next-Gen Document Reader. SDU@AAAI 2023 - [c52]Jianna So, Nedim Lipka, Alexa F. Siu, Ryan A. Rossi, Franck Dernoncourt:
How Small Businesses Transform PDF Agreements into Action. CSCW Companion 2023: 177-181 - [c51]Sergio Servantez, Nedim Lipka, Alexa F. Siu, Milan Aggarwal, Balaji Krishnamurthy, Aparna Garimella, Kristian J. Hammond, Rajiv Jain:
Computable Contracts by Extracting Obligation Logic Graphs. ICAIL 2023: 267-276 - [c50]Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco:
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. ICLR 2023 - [c49]Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka, Thamar Solorio:
A Review of Datasets for Aspect-based Sentiment Analysis. IJCNLP (1) 2023: 611-628 - [c48]Sudhanshu Chanpuriya, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco:
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings. NeurIPS 2023 - [c47]Jean-Peïc Chou, Alexa Fay Siu, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Maneesh Agrawala:
TaleStream: Supporting Story Ideation with Trope Knowledge. UIST 2023: 52:1-52:12 - [c46]Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Yeuk-Yin Chan, Eunyee Koh, Nesreen K. Ahmed:
A ML-based Approach for HTML-based Style Recommendation. WWW (Companion Volume) 2023: 9-13 - 2022
- [c45]Songlin He, Tong Sun, Qiang Tang, Chase Wu, Nedim Lipka, Curtis Wigington, Rajiv Jain:
Secure and Efficient Agreement Signing Atop Blockchain and Decentralized Identity. BlockSys 2022: 3-17 - [c44]Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed:
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes. ICML 2022: 18463-18482 - [c43]Weixin Jiang, Gang Wu, Viswanathan Swaminathan, Stefano Petrangeli, Haoliang Wang, Ryan A. Rossi, Nedim Lipka:
Task-Oriented Near-Lossless Burst Compression. ISM 2022: 257-260 - 2021
- [c42]Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra:
Graph Neural Networks with Heterophily. AAAI 2021: 11168-11176 - [c41]Joe Barrow, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad I. Morariu, Varun Manjunatha, Douglas W. Oard, Philip Resnik, Henning Wachsmuth:
Syntopical Graphs for Computational Argumentation Tasks. ACL/IJCNLP (1) 2021: 1583-1595 - [c40]Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. ACL/IJCNLP (Findings) 2021: 4038-4051 - [c39]Amirreza Shirani, Giai Tran, Hieu Trinh, Franck Dernoncourt, Nedim Lipka, Jose Echevarria, Thamar Solorio, Paul Asente:
PSED: A Dataset for Selecting Emphasis in Presentation Slides. ACL/IJCNLP (Findings) 2021: 4314-4320 - [c38]Saed Rezayi, Nedim Lipka, Vishwa Vinay, Ryan A. Rossi, Franck Dernoncourt, Tracy Holloway King, Sheng Li:
A Framework for Knowledge-Derived Query Suggestions. IEEE BigData 2021: 510-518 - [c37]Victor S. Bursztyn, Jennifer Healey, Eunyee Koh, Nedim Lipka, Larry Birnbaum:
Developing a Conversational Recommendation Systemfor Navigating Limited Options. CHI Extended Abstracts 2021: 309:1-309:6 - [c36]Victor S. Bursztyn, Jennifer Healey, Nedim Lipka, Eunyee Koh, Doug Downey, Larry Birnbaum:
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems. EMNLP (1) 2021: 1913-1918 - [c35]Sangwoo Cho, Franck Dernoncourt, Tim Ganter, Trung Bui, Nedim Lipka, Walter Chang, Hailin Jin, Jonathan Brandt, Hassan Foroosh, Fei Liu:
StreamHover: Livestream Transcript Summarization and Annotation. EMNLP (1) 2021: 6457-6474 - [c34]Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. ICLR 2021 - [c33]Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy:
Open Intent Extraction from Natural Language Interactions (Extended Abstract). IJCAI 2021: 4844-4848 - [c32]Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. NAACL-HLT 2021: 2767-2776 - [c31]Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka, Thamar Solorio:
Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis. PACLIC 2021: 119-129 - 2020
- [c30]Amirreza Shirani, Franck Dernoncourt, Jose Echevarria, Paul Asente, Nedim Lipka, Thamar Solorio:
Let Me Choose: From Verbal Context to Font Selection. ACL 2020: 8607-8613 - [c29]Tuan Manh Lai, Trung Bui, Nedim Lipka:
ISA: An Intelligent Shopping Assistant. AACL/IJCNLP (System Demonstrations) 2020: 14-19 - [c28]Amirreza Shirani, Franck Dernoncourt, Nedim Lipka, Paul Asente, Jose Echevarria, Thamar Solorio:
SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media. SemEval@COLING 2020: 1360-1370 - [c27]Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy:
Open Intent Extraction from Natural Language Interactions. WWW 2020: 2009-2020 - 2019
- [c26]Amirreza Shirani, Franck Dernoncourt, Paul Asente, Nedim Lipka, Seokhwan Kim, Jose Echevarria, Thamar Solorio:
Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions. ACL (1) 2019: 1167-1172 - [c25]Shahbaz Syed, Michael Völske, Nedim Lipka, Benno Stein, Hinrich Schütze, Martin Potthast:
Towards Summarization for Social Media - Results of the TL;DR Challenge. INLG 2019: 523-528 - 2018
- [c24]Tuan Manh Lai, Trung Bui, Sheng Li, Nedim Lipka:
A Simple End-to-End Question Answering Model for Product Information. ECONLP@ACL 2018: 38-43 - [c23]Nedim Lipka, Tak Yeon Lee, Eunyee Koh:
Detecting Link and Landing Page Misalignment in Marketing Emails. DEXA Workshops 2018: 254-264 - [c22]Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li:
Supervised Transfer Learning for Product Information Question Answering. ICMLA 2018: 1109-1114 - [c21]Tim Gollub, Erdan Genc, Nedim Lipka, Benno Stein:
Pseudo Descriptions for Meta-Data Retrieval. ICTIR 2018: 139-146 - [c20]Shahbaz Syed, Michael Völske, Martin Potthast, Nedim Lipka, Benno Stein, Hinrich Schütze:
Task Proposal: The TL;DR Challenge. INLG 2018: 318-321 - 2017
- [c19]Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka:
Predicting Online Purchase Conversion for Retargeting. WSDM 2017: 591-600 - [c18]Sungchul Kim, Sana Malik, Nedim Lipka, Eunyee Koh:
WimNet: Vision Search for Web Logs. WWW (Companion Volume) 2017: 803-804 - 2016
- [c17]Tim Gollub, Nedim Lipka, Eunyee Koh, Erdan Genc, Benno Stein:
Topical Sequence Profiling. DEXA Workshops 2016: 207-211 - [c16]Sungchul Kim, Jinyoung Yeo, Eunyee Koh, Nedim Lipka:
Purchase Influence Mining: Identifying Top-k Items Attracting Purchase of Target Item. WWW (Companion Volume) 2016: 57-58 - [c15]Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka:
Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site. WWW (Companion Volume) 2016: 133-134 - 2015
- [c14]Nedim Lipka, W. Bruce Croft:
An Aspect-driven Social Media Explorer. SIGIR 2015: 1035-1036 - 2012
- [c13]Nedim Lipka, Benno Stein, James G. Shanahan:
Estimating the Expected Effectiveness of Text Classification Solutions under Subclass Distribution Shifts. ICDM 2012: 972-977 - [c12]Maik Anderka, Benno Stein, Nedim Lipka:
Predicting quality flaws in user-generated content: the case of wikipedia. SIGIR 2012: 981-990 - [c11]Nedim Lipka, Benno Stein, Maik Anderka:
Cluster-based one-class ensemble for classification problems in information retrieval. SIGIR 2012: 1041-1042 - 2011
- [c10]Maik Anderka, Benno Stein, Nedim Lipka:
Detection of text quality flaws as a one-class classification problem. CIKM 2011: 2313-2316 - [c9]Nedim Lipka, Benno Stein:
Robust Models in Information Retrieval. DEXA Workshops 2011: 185-189 - [c8]Nedim Lipka, Benno Stein:
Classifying with Co-stems - A New Representation for Information Filtering. ECIR 2011: 307-313 - [c7]Maik Anderka, Benno Stein, Nedim Lipka:
Towards automatic quality assurance in Wikipedia. WWW (Companion Volume) 2011: 5-6 - 2010
- [c6]Thomas Gottron, Nedim Lipka:
A Comparison of Language Identification Approaches on Short, Query-Style Texts. ECIR 2010: 611-614 - [c5]Nedim Lipka, Benno Stein:
Identifying featured articles in wikipedia: writing style matters. WWW 2010: 1147-1148 - 2009
- [c4]Mark Aufenanger, Nedim Lipka, Benjamin Klöpper, Wilhelm Dangelmaier:
A knowledge-based giffler-thompson heuristic for rescheduling job-shops. CISched 2009: 22-28 - [c3]Maik Anderka, Nedim Lipka, Benno Stein:
Evaluating Cross-Language Explicit Semantic Analysis and Cross Querying. CLEF (1) 2009: 50-57 - [c2]Maik Anderka, Nedim Lipka, Benno Stein:
Evaluating Cross-Language Explicit Semantic Analysis and Cross Querying at TEL@CLEF 2009. CLEF (Working Notes) 2009 - 2008
- [c1]Benno Stein, Nedim Lipka, Sven Meyer zu Eissen:
Meta Analysis within Authorship Verification. DEXA Workshops 2008: 34-39
Parts in Books or Collections
- 2011
- [p1]Benno Stein, Sven Meyer zu Eissen, Nedim Lipka:
Web Genre Analysis: Use Cases, Retrieval Models, and Implementation Issues. Genres on the Web 2011: 167-189
Informal and Other Publications
- 2024
- [i33]Raymond Fok, Nedim Lipka, Tong Sun, Alexa F. Siu:
Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language Models. CoRR abs/2405.01501 (2024) - [i32]Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr:
Augmenting Textual Generation via Topology Aware Retrieval. CoRR abs/2405.17602 (2024) - [i31]Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka, Thamar Solorio:
ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection. CoRR abs/2405.20274 (2024) - [i30]Ishita Kumar, Snigdha Viswanathan, Sushrita Yerra, Alireza Salemi, Ryan A. Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, Hamed Zamani:
LongLaMP: A Benchmark for Personalized Long-form Text Generation. CoRR abs/2407.11016 (2024) - [i29]Swetha Eppalapally, Daksh Dangi, Chaithra Bhat, Ankita Gupta, Ruiyi Zhang, Shubham Agarwal, Karishma Bagga, Seunghyun Yoon, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt:
KaPQA: Knowledge-Augmented Product Question-Answering. CoRR abs/2407.16073 (2024) - [i28]Ryan Aponte, Ryan A. Rossi, Shunan Guo, Franck Dernoncourt, Tong Yu, Xiang Chen, Subrata Mitra, Nedim Lipka:
A Framework for Fine-Tuning LLMs using Heterogeneous Feedback. CoRR abs/2408.02861 (2024) - [i27]Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka:
A Multi-LLM Debiasing Framework. CoRR abs/2409.13884 (2024) - 2023
- [i26]Catherine Yeh, Nedim Lipka, Franck Dernoncourt:
Envisioning the Next-Gen Document Reader. CoRR abs/2302.07492 (2023) - [i25]Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu, Yufan Zhou, Nedim Lipka, Diyi Yang, Tong Sun:
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding. CoRR abs/2306.17107 (2023) - [i24]Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr:
Knowledge Graph Prompting for Multi-Document Question Answering. CoRR abs/2308.11730 (2023) - [i23]Jean-Peïc Chou, Alexa F. Siu, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Maneesh Agrawala:
TaleStream: Supporting Story Ideation with Trope Knowledge. CoRR abs/2309.03790 (2023) - [i22]Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka, Thamar Solorio:
OATS: Opinion Aspect Target Sentiment Quadruple Extraction Dataset for Aspect-Based Sentiment Analysis. CoRR abs/2309.13297 (2023) - [i21]Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra:
Leveraging Graph Diffusion Models for Network Refinement Tasks. CoRR abs/2311.17856 (2023) - 2022
- [i20]Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka, Thamar Solorio:
Survey of Aspect-based Sentiment Analysis Datasets. CoRR abs/2204.05232 (2022) - [i19]Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco:
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. CoRR abs/2210.00032 (2022) - [i18]April Chen, Ryan A. Rossi, Nedim Lipka, Jane Hoffswell, Gromit Chan, Shunan Guo, Eunyee Koh, Sungchul Kim, Nesreen K. Ahmed:
Graph Learning with Localized Neighborhood Fairness. CoRR abs/2212.12040 (2022) - [i17]Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Chan, Eunyee Koh, Nesreen K. Ahmed:
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings. CoRR abs/2212.14077 (2022) - 2021
- [i16]Amirreza Shirani, Giai Tran, Hieu Trinh, Franck Dernoncourt, Nedim Lipka, Paul Asente, Jose Echevarria, Thamar Solorio:
Learning to Emphasize: Dataset and Shared Task Models for Selecting Emphasis in Presentation Slides. CoRR abs/2101.03237 (2021) - [i15]Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. CoRR abs/2104.04909 (2021) - [i14]Victor S. Bursztyn, Jennifer Healey, Eunyee Koh, Nedim Lipka, Larry Birnbaum:
Developing a Conversational Recommendation System for Navigating Limited Options. CoRR abs/2104.06552 (2021) - [i13]Sangwoo Cho, Franck Dernoncourt, Tim Ganter, Trung Bui, Nedim Lipka, Walter Chang, Hailin Jin, Jonathan Brandt, Hassan Foroosh, Fei Liu:
StreamHover: Livestream Transcript Summarization and Annotation. CoRR abs/2109.05160 (2021) - [i12]Victor S. Bursztyn, Jennifer Healey, Nedim Lipka, Eunyee Koh, Doug Downey, Larry Birnbaum:
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems. CoRR abs/2109.07576 (2021) - [i11]Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka, Thamar Solorio:
Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis. CoRR abs/2110.02334 (2021) - [i10]Sudhanshu Chanpuriya, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco:
An Interpretable Graph Generative Model with Heterophily. CoRR abs/2111.03030 (2021) - [i9]Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed:
Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes. CoRR abs/2111.14674 (2021) - 2020
- [i8]Amirreza Shirani, Franck Dernoncourt, Jose Echevarria, Paul Asente, Nedim Lipka, Thamar Solorio:
Let Me Choose: From Verbal Context to Font Selection. CoRR abs/2005.01151 (2020) - [i7]Tuan Manh Lai, Trung Bui, Nedim Lipka:
ISA: An Intelligent Shopping Assistant. CoRR abs/2007.03805 (2020) - [i6]Amirreza Shirani, Franck Dernoncourt, Nedim Lipka, Paul Asente, Jose Echevarria, Thamar Solorio:
SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media. CoRR abs/2008.03274 (2020) - [i5]Jiong Zhu, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra:
Graph Neural Networks with Heterophily. CoRR abs/2009.13566 (2020) - [i4]Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. CoRR abs/2010.12872 (2020) - [i3]Jun Yan, Mrigank Raman, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. CoRR abs/2010.12873 (2020) - 2019
- [i2]Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li:
Supervised Transfer Learning for Product Information Question Answering. CoRR abs/1901.02539 (2019) - [i1]Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy:
Towards Open Intent Discovery for Conversational Text. CoRR abs/1904.08524 (2019)
Coauthor Index
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