Publications

2024

Kshitij Fadnis, Siva Sankalp Patel, Odellia Boni, Yannis Katsis, Sara Rosenthal, Benjamin Sznajder and Marina Danilevsky. InspectorRAGet: An Introspection Platform for RAG Evaluation. arXiv 2024. (paper) (GitHub)

Ankita Gupta, Chulaka Gunasekara, Hui Wan, Jatin Ganhotra, Sachindra Joshi and Marina Danilevsky. Evaluating Robustness of Dialogue Summarization Models in the Presence of Naturally Occurring Variations. NLP4ConvAI@ACL 2024. (paper)

Hui Wan, Hongkang Li, Songtao Lu, Xiadong Cui and Marina Danilevsky. How Can Personalized Context Help? Exploring Joint Retrieval of Passage and Personalized Context. ICASSP 2024. (paper)

2023

Rudra Murthy, Riyaz Bhat, Chulaka Gunasekara, Siva Patel, Hui Wan, Tejas Dhamecha, Danish Contractor, and Marina Danilevsky. Semi-Structured Object Sequence Encoders. EMNLP 2023 Findings. (paper)

Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran, Huaiyu Zhu, Hiroshi Kanayama, Marina Danilevsky, and Yunyao Li. PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation. EACL 2023 Findings.(paper)(GitHub)

2022

Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martin Santillan Cooper, Dina Epelboim, Zheng Zhang, and Dakuo Wang. Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. EMNLP 2022. (paper)(open-sourced project)

Ayush Maheshwari, Krishnateja Killamsetty, Ganesh Ramakrishnan, Rishabh Iyer, Marina Danilevsky, and Lucian Popa. Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. ACL 2022 Findings. (paper)

2021

Marina Danilevsky, Shipi Dhanorkar, Yunyao Li, Lucian Popa, Kun Qian, and Anbang Xu. Explainability for Natural Language Processing. KDD 2021. (tutorial)

Kun Qian, Marina Danilevsky, Yannis Katsis, Ban Kawas, Erick Oduor, Lucian Popa, and Yunyao Li.  XNLP: A Living Survey for XAI Research in Natural Language Processing. IUI 2021 Companion. (paper) (website)

Nancy Wang, Diwakar Mahajan, Marina Danilevsky, and Sara Rosenthal. SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS). SemEval@ACL 2021. (paper) (task website)

Soya Park, April Yi Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, and Marina Danilevsky. Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models. IUI 2021. (paper).

Arvind Agarwal, Laura Chiticariu, Poornima Chozhiyath Raman, Marina Danilevsky, Diman Ghazi, Ankush Gupta, Shanmukha Guttula, Yannis Katsis, Rajasekar Krishnamurthy, Yunyao Li, Shubham Mudgal, Vitobha Munigala, Nicholas Phan, Dhaval Sonawane, Sneha Srinivasan, Sudarshan R. Thitte, Mitesh Vasa, Ramiya Venkatachalam, Vinitha Yaski, Huaiyu Zhu. Development of an Enterprise-Grade Contract Understanding System. NAACL 2021. (paper)

2020

Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, and Prithviraj Sen. A Survey of the State of Explainable AI for Natural Language Processing. AACL-IJCNLP 2020. (paper) (video)

Prithviraj Sen, Marina Danilevsky, Yunyao Li, Siddhartha Brahma, Matthias Boehm, Laura Chiticariu, Rajasekar Krishnamurthy. Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification. EMNLP 2020. (paper)

Maeda F. Hanafi, Azza Abouzeid, Marina Danilevsky and Yunyao Li. WhyFlow: Explaining Errors in Data Flows Interactively. DaSH@KDD 2020. (paper)

Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim. Active Learning for BERT: An Empirical Study. EMNLP 2020. (paper)

Douglas Burdick, Marina Danilevsky, Alexandre V Evfimievski, Yannis Katsis, and Nancy Wang. Table extraction and understanding for scientific and enterprise applications. VLDB 2020. (tutorial)

2019

Huaiyu Zhu, Yunyao Li, Laura Chiticariu, Marina Danilevsky, Sanjana Sahayaraj. Declarative Text Understanding with SystemT. KDD 2019. (tutorial)

Douglas Burdick, Marina Danilevsky, Alexandre V Evfimievski, Yannis Katsis, and Nancy Wang. Table extraction and understanding for scientific and enterprise applications. ICDM 2019. (slides) (tutorial)

Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, François Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, and Koichiro Yoshida. Making AI Machines Work for Humans in FoW.SIGMOD Record 2019. (article)

2018

Min Li, Marina Danilevsky, Sara Noeman, Yunyao Li. DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding. CoNLL 2018. (paper)

Laura Chiticariu, Marina Danilevsky, Howard Ho, Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan, Huaiyu Zhu. Web Information Extraction. Encyclopedia of Database Systems (2nd ed), pp. 1–9, Springer New York, 2018. (pdf)

2017

S. Bharadwaj, L. Chiticariu, M. Danilevsky, S. Dhingra, S. Divekar, A. Carreno-Fuentes, H. Gupta, N. Gupta, S.-D. Han, M. Hernandez, H. Ho, P. Jain, S. Joshi, H. Karanam, S. Krishnan, R. Krishnamurthy, Y. Li, S. Manivannan, A. Mittal, F. Creation and Interaction with Large-scale Domain-specific Knowledge Bases. VLDB 2017. (paper)

Anni Coden, Marina Danilevsky, Daniel Gruhl, Linda Kato, and Meena Nagarajan. A Method to Accelerate Human in the Loop Clustering. SDM 2017.  (paper) (slides)

Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre Evfimievski and Prithviraj Sen. A Rectangle Mining Method for Understanding the Semantics of Financial Tables. ICDAR 2017 (paper)

2016

Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yonas Kbrom, Yunyao Li, Huaiyu Zhu. Multilingual Information Extraction with POLYGLOTIE. COLING 2016. (paper)

Laura Chiticariu, Marina Danilevsky, Howard Ho, Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan, Huaiyu Zhu. Web Information Extraction. Encyclopedia of Database Systems, pp. 1–9, Springer New York, 2016. (pdf)

2015

Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yunyao Li, Shivakumar Vaithyanathan, Huaiyu Zhu. Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling. ACL 2015. (paper)

2014

Marina Danilevsky, Chi Wang, Nihit Desai, Xiang Ren, Jingyi Guo, and Jiawei Han. Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents. SDM 2014. (paper)

2013

Chi Wang, Marina Danilevsky, Jialu Liu, Nihit Desai, Heng Ji, and Jiawei Han. Constructing Topical Hierarchies in Heterogeneous Information Networks. ICDM 2013. (paper)

Marina Danilevsky and Eunyee Koh. Information Graph Model and Application to Online Advertising. UEO 2013. (paper)

Marina Danilevsky, Chi Wang, Fangbo Tao, Son Nguyen, Gong Chen, Nihit Desai, and Jiawei Han. AMETHYST: A System for Mining and Exploring Topical Hierarchies in Information Networks.  KDD 2013. (paper)

Chi Wang, Marina Danilevsky, Nihit Desai, 
Yinan Zhang, Phuong Nguyen, Thrivikrama Taula, and Jiawei Han. A Phrase Mining Framework for Recursive Construction of a Topical Hierarchy. KDD 2013. (paper)

Marina Danilevsky, Chi Wang, Nihit Desai, and Jiawei Han. Entity Role Discovery in Hierarchical Topical Communities. MDS@KDD 2013. (paper)

Jialu Liu, Chi Wang, Marina Danilevsky and Jiawei Han. Large-Scale Spectral Clustering on Graphs. IJCAI 2013. (paper)

Joshua Hailpern, Marina Danilevsky, Andrew Harris, Sunah Suh, Reed LaBotz and Karrie Karahalios. ACES: A Cross-Discipline Platform and Method for Communication and Language Research. CSCW 2013. (paper)

2012

Cindy Xide Lin, Ming Ji, Marina Danilevsky, and Jiawei Han. Efficient Mining of Correlated Sequential Patterns Based on Null Hypothesis. Web-KR@CIKM 2012. (paper)

Quanquan Gu, Marina Danilevsky, Zhenhui Li, and Jiawei Han. Locality Preserving Feature Learning. AISTAT 2012. (paper)

2011

Xide Lin, Qiaozhu Mei, JIawei Han, Yunliang Jiang, and Marina Danilevsky. The Joint Inference of Topic Diffusion and Evolution in Social Communities. ICDM 2011. (paper)

Ming Ji, Jiawei Han, and Marina Danilevsky. Ranking-Based Classification of Heterogeneous Information Networks. KDD 2011. (paper)

Joshua Hailpern, Marina Danilevsky, and Karrie Karahalios. ACES: Aphasia Emulation, Realism, and the Turing Test. ASSETS 2011. (paper)

Marina Danilevsky, Joshua Hailpern, and Jiawei Han. SCENE: Structural Conversation Evolution NEtwork. ASONAM 2011. (paper)

Timothy Weninger, Marina Danilevsky, Fabio Fumarola, Joshua Hailpern, Jiawei Han, Ming Ji, Thomas J. Johnston, Surya Kallumadi, Hyungsul Kim, Zhijin Li, David McCloskey, Yizhou Sun, Nathan E. TeGrotenhuis, Chi Wang, and Xiao Yu. WinaCS: Construction and Analysis of Web-Based Computer Science Information Networks. SIGMOD 2011. (paper)

Joshua Hailpern, Marina Danilevsky, Andrew Harris, Karrie Karahalios, Gary Dell, and Julie Hengst. ACES: Promoting Empathy Towards Aphasia Through Language Distortion Emulation Software. CHI 2011. (paper)

2010

Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, and Jing Gao. Graph Regularized Transductive Classification on Heterogeneous Information Networks. ECMLPKDD 2010. (paper)

Martin Campbell-Kelly, Marina Danilevsky, Daniel D. Garcia-Swartz, and Shane Pederson. Clustering in the Creative Industries: Insights from the Origins of Computer Software. Industry and Innovation 17(4), 2010. (paper)

2008

Howard H. Chang, Marina Danilevsky, David S. Evans, and Daniel D. Garcia-Swartz. The Economics of Market Coordination for the pre-Fed Check Clearing System: A Peek into the Bloomington (IL) Node. Explorations in Economic History 45(4): 445-461, 2008. (paper)