Marina Danilevsky

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 34

Top Topics

Natural Language Processing

Top Venues

Proc. VLDB Endow.

ACM Symposium on Document Engineering

Publications

Kshitij Fadnis, Siva Sankalp Patel, Odellia Boni, Yannis Katsis, Sara Rosenthal, Benjamin Sznajder, Marina Danilevsky
InspectorRAGet: An Introspection Platform for RAG Evaluation. CoRR (2024)
Hui Wan, Hongkang Li, Songtao Lu, Xiaodong Cui, Marina Danilevsky
How Can Personalized Context Help? Exploring Joint Retrieval of Passage and Personalized Context. ICASSP (2024)
Rudra Murthy V, Riyaz Bhat, Chulaka Gunasekara, Siva Sankalp Patel, Hui Wan, Tejas I. Dhamecha, Danish Contractor, Marina Danilevsky
Semi-Structured Object Sequence Encoders. EMNLP (Findings) (2023)
Ankita Gupta, Chulaka Gunasekara, Hui Wan, Jatin Ganhotra, Sachindra Joshi, Marina Danilevsky
Evaluating Robustness of Dialogue Summarization Models in the Presence of Naturally Occurring Variations. CoRR (2023)
Rudra Murthy V, Riyaz Bhat, R. Chulaka Gunasekara, Siva Sankalp Patel, Hui Wan, Tejas Indulal Dhamecha, Danish Contractor, Marina Danilevsky
Semi-Structured Object Sequence Encoders. CoRR (2023)
Hui Wan, Hongkang Li, Songtao Lu, Xiaodong Cui, Marina Danilevsky
How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context. CoRR (2023)
Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran, Huaiyu Zhu, Hiroshi Kanayama, Marina Danilevsky, Yunyao Li
PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation. EACL (Findings) (2023)
Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran, Huaiyu Zhu, Hiroshi Kanayama, Marina Danilevsky, Yunyao Li
PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation. CoRR (2022)
Ayush Maheshwari, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer, Marina Danilevsky, Lucian Popa
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. ACL (Findings) (2022)
Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martín Santillán Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. EMNLP (Demos) (2022)
Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martin Santillán Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang, Lucy Yip, Liat Ein-Dor, Lena Dankin, Ilya Shnayderman, Ranit Aharonov, Yunyao Li, Naftali Liberman, Philip Levin Slesarev, Gwilym Newton, Shila Ofek-Koifman, Noam Slonim, Yoav Katz
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. CoRR (2022)
Kun Qian, Marina Danilevsky, Yannis Katsis, Ban Kawas, Erick Oduor, Lucian Popa, Yunyao Li
XNLP: A Living Survey for XAI Research in Natural Language Processing. IUI Companion (2021)
Nancy Xin Ru Wang, Diwakar Mahajan, Marina Danilevsky, Sara Rosenthal
SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS). SemEval@ACL/IJCNLP (2021)
Marina Danilevsky, Shipi Dhanorkar, Yunyao Li, Lucian Popa, Kun Qian, Anbang Xu
Explainability for Natural Language Processing. KDD (2021)
Soya Park, April Yi Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, Marina Danilevsky
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models. CoRR (2021)
Arvind Agarwal, Laura Chiticariu, Poornima Chozhiyath Raman, Marina Danilevsky, Diman Ghazi, Ankush Gupta, Shanmukha C. 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-HLT (Industry Papers) (2021)
Soya Park, April Yi Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, Marina Danilevsky
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models. IUI (2021)
Nancy Xin Ru Wang, Diwakar Mahajan, Marina Danilevsky, Sara Rosenthal
SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS). CoRR (2021)
Ayush Maheshwari, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer, Marina Danilevsky, Lucian Popa
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. CoRR (2021)
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 (1) (2020)
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 B. Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, H. Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida
Making AI Machines Work for Humans in FoW. SIGMOD Rec. 49 (2) (2020)
Doug Burdick, Marina Danilevsky, Alexandre V. Evfimievski, Yannis Katsis, Nancy Xin Ru Wang
Table Extraction and Understanding for Scientific and Enterprise Applications. Proc. VLDB Endow. 13 (12) (2020)
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 (1) (2020)
Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen
A Survey of the State of Explainable AI for Natural Language Processing. CoRR (2020)
Maeda F. Hanafi, Azza Abouzied, Marina Danilevsky, Yunyao Li
WhyFlow: Explaining Errors in Data Flows Interactively. DaSH@KDD (2020)
Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen
A Survey of the State of Explainable AI for Natural Language Processing. AACL/IJCNLP (2020)
Min Li, Marina Danilevsky, Sara Noeman, Yunyao Li
DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding. CoNLL (2018)
Laura Chiticariu, Marina Danilevsky, Yunyao Li, Frederick Reiss, Huaiyu Zhu
SystemT: Declarative Text Understanding for Enterprise. NAACL-HLT (3) (2018)
Shreyas Bharadwaj, Laura Chiticariu, Marina Danilevsky, Samarth Dhingra, Samved Divekar, Arnaldo Carreno-Fuentes, Himanshu Gupta, Nitin Gupta, Sang-Don Han, Mauricio A. Hernández, Howard Ho, Parag Jain, Salil Joshi, Hima Karanam, Saravanan Krishnan, Rajasekar Krishnamurthy, Yunyao Li, Satishkumaar Manivannan, Ashish R. Mittal, Fatma Ozcan, Abdul Quamar, Poornima Raman, Diptikalyan Saha, Karthik Sankaranarayanan, Jaydeep Sen, Prithviraj Sen, Shivakumar Vaithyanathan, Mitesh Vasa, Hao Wang, Huaiyu Zhu
Creation and Interaction with Large-scale Domain-Specific Knowledge Bases. Proc. VLDB Endow. 10 (12) (2017)
Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre V. Evfimievski, Prithviraj Sen
A Rectangle Mining Method for Understanding the Semantics of Financial Tables. ICDAR (2017)
Anni Coden, Marina Danilevsky, Daniel Gruhl, Linda Kato, Meena Nagarajan
A Method to Accelerate Human in the Loop Clustering. SDM (2017)
Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yonas Kbrom, Yunyao Li, Huaiyu Zhu
Multilingual Information Extraction with PolyglotIE. COLING (Demos) (2016)
Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yunyao Li, Shivakumar Vaithyanathan, Huaiyu Zhu
Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling. ACL (1) (2015)
Chi Wang, Jialu Liu, Nihit Desai, Marina Danilevsky, Jiawei Han
Constructing topical hierarchies in heterogeneous information networks. Knowl. Inf. Syst. 44 (3) (2015)
Joshua M. Hailpern, Niranjan Damera Venkata, Marina Danilevsky
Pagination: it's what you say, not how long it takes to say it. ACM Symposium on Document Engineering (2014)
Joshua M. Hailpern, Niranjan Damera Venkata, Marina Danilevsky
Truncation: all the news that fits we'll print. ACM Symposium on Document Engineering (2014)
Marina Danilevsky, Chi Wang, Nihit Desai, Xiang Ren, Jingyi Guo, Jiawei Han
Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents. SDM (2014)
Joshua M. Hailpern, Niranjan Damera Venkata, Marina Danilevsky
Pagination: It's what you say, not how long it takes to say it. CoRR (2014)
Marina Danilevsky, Chi Wang, Fangbo Tao, Son Nguyen, Gong Chen, Nihit Desai, Lidan Wang, Jiawei Han
AMETHYST: a system for mining and exploring topical hierarchies of heterogeneous data. KDD (2013)
Fangbo Tao, Kin Hou Lei, Jiawei Han, Chengxiang Zhai, Xiao Cheng, Marina Danilevsky, Nihit Desai, Bolin Ding, Jing Ge, Heng Ji, Rucha Kanade, Anne Kao, Qi Li, Yanen Li, Cindy Xide Lin, Jialu Liu, Nikunj C. Oza, Ashok N. Srivastava, Rodney Tjoelker, Chi Wang, Duo Zhang, Bo Zhao
EventCube: multi-dimensional search and mining of structured and text data. KDD (2013)
Joshua M. Hailpern, Marina Danilevsky, Andrew Harris, Sunah Suh, Reed LaBotz, Karrie Karahalios
ACES: a cross-discipline platform and method for communication and language research. CSCW (2013)
Marina Danilevsky, Chi Wang, Nihit Desai, Jingyi Guo, Jiawei Han
KERT: Automatic Extraction and Ranking of Topical Keyphrases from Content-Representative Document Titles. CoRR (2013)
Chi Wang, Marina Danilevsky, Nihit Desai, Yinan Zhang, Phuong Nguyen, Thrivikrama Taula, Jiawei Han
A phrase mining framework for recursive construction of a topical hierarchy. KDD (2013)
Marina Danilevsky, Eunyee Koh
Information graph model and application to online advertising. UEO@CIKM (2013)
Jialu Liu, Chi Wang, Marina Danilevsky, Jiawei Han
Large-Scale Spectral Clustering on Graphs. IJCAI (2013)
Chi Wang, Marina Danilevsky, Jialu Liu, Nihit Desai, Heng Ji, Jiawei Han
Constructing Topical Hierarchies in Heterogeneous Information Networks. ICDM (2013)
Cindy Xide Lin, Ming Ji, Marina Danilevsky, Jiawei Han
Efficient mining of correlated sequential patterns based on null hypothesis. Web-KRM@CIKM (2012)
Quanquan Gu, Marina Danilevsky, Zhenhui Li, Jiawei Han
Locality Preserving Feature Learning. AISTATS (2012)
Joshua M. Hailpern, Marina Danilevsky, Karrie Karahalios
ACES: aphasia emulation, realism, and the turing test. ASSETS (2011)
Marina Danilevsky, Joshua M. Hailpern, Jiawei Han
SCENE: Structural Conversation Evolution NEtwork. ASONAM (2011)
Joshua M. Hailpern, Marina Danilevsky, Andrew Harris, Karrie Karahalios, Gary S. Dell, Julie Hengst
ACES: promoting empathy towards aphasia through language distortion emulation software. CHI (2011)
Ming Ji, Jiawei Han, Marina Danilevsky
Ranking-based classification of heterogeneous information networks. KDD (2011)
Tim Weninger, Marina Danilevsky, Fabio Fumarola, Joshua M. Hailpern, Jiawei Han, Thomas J. Johnston, Surya Kallumadi, Hyungsul Kim, Zhijin Li, David McCloskey, Yizhou Sun, Nathan E. TeGrotenhuis, Chi Wang, Xiao Yu
WINACS: construction and analysis of web-based computer science information networks. SIGMOD Conference (2011)
Cindy Xide Lin, Qiaozhu Mei, Jiawei Han, Yunliang Jiang, Marina Danilevsky
The Joint Inference of Topic Diffusion and Evolution in Social Communities. ICDM (2011)
Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao
Graph Regularized Transductive Classification on Heterogeneous Information Networks. ECML/PKDD (1) (2010)
Joshua M. Hailpern, Marina Danilevsky, Karrie Karahalios
Walking in another's shoes: aphasia emulation software. ASSETS (2010)