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2020 – today
- 2024
[c40]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: 9991-9995- [i13]Kshitij Fadnis, Siva Sankalp Patel, Odellia Boni, Yannis Katsis, Sara Rosenthal, Benjamin Sznajder, Marina Danilevsky:
InspectorRAGet: An Introspection Platform for RAG Evaluation. CoRR abs/2404.17347 (2024) - [i12]Zahra Ashktorab, Qian Pan, Werner Geyer, Michael Desmond, Marina Danilevsky, James M. Johnson, Casey Dugan, Michelle Brachman:
Emerging Reliance Behaviors in Human-AI Text Generation: Hallucinations, Data Quality Assessment, and Cognitive Forcing Functions. CoRR abs/2409.08937 (2024) - 2023
- [c39]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: 1761-1773 - [c38]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: 9026-9039 - [i11]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 abs/2301.01015 (2023) - [i10]Hui Wan, Hongkang Li, Songtao Lu, Xiaodong Cui, Marina Danilevsky:
How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context. CoRR abs/2308.13760 (2023) - [i9]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 abs/2311.08705 (2023) - 2022
- [c37]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: 1188-1202 - [c36]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: 159-168 - [i8]Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martín 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 abs/2208.01483 (2022) - [i7]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 abs/2210.06408 (2022) - 2021
- [c35]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: 78-80 - [c34]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: 585-596 - [c33]Marina Danilevsky, Shipi Dhanorkar, Yunyao Li, Lucian Popa, Kun Qian, Anbang Xu:
Explainability for Natural Language Processing. KDD 2021: 4033-4034 - [c32]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: 222-229 - [c31]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: 317-326 - [i6]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 abs/2102.00036 (2021) - [i5]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 abs/2105.13995 (2021) - [i4]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 abs/2109.11410 (2021) - 2020
- [j4]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): 3433-3436 (2020) - [j3]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): 30-35 (2020) - [c30]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: 4211-4221 - [c29]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: 7949-7962 - [c28]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: 447-459 - [c27]Maeda F. Hanafi, Azza Abouzied, Marina Danilevsky, Yunyao Li:
WhyFlow: Explaining Errors in Data Flows Interactively. DaSH@KDD 2020 - [i3]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 abs/2010.00711 (2020)
2010 – 2019
- 2018
- [c26]Min Li, Marina Danilevsky, Sara Noeman, Yunyao Li:
DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding. CoNLL 2018: 444-453 - [c25]Laura Chiticariu, Marina Danilevsky, Yunyao Li, Frederick Reiss, Huaiyu Zhu:
SystemT: Declarative Text Understanding for Enterprise. NAACL-HLT (3) 2018: 76-83 - [r1]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.) 2018 - 2017
- [j2]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): 1965-1968 (2017) - [c24]Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre V. Evfimievski, Prithviraj Sen:
A Rectangle Mining Method for Understanding the Semantics of Financial Tables. ICDAR 2017: 268-273 - [c23]Anni Coden, Marina Danilevsky, Daniel Gruhl, Linda Kato, Meena Nagarajan:
A Method to Accelerate Human in the Loop Clustering. SDM 2017: 237-245 - 2016
- [c22]Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yonas Kbrom, Yunyao Li, Huaiyu Zhu:
Multilingual Information Extraction with PolyglotIE. COLING (Demos) 2016: 268-272 - 2015
- [j1]Chi Wang, Jialu Liu, Nihit Desai, Marina Danilevsky, Jiawei Han:
Constructing topical hierarchies in heterogeneous information networks. Knowl. Inf. Syst. 44(3): 529-558 (2015) - [c21]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: 397-407 - 2014
- [b1]Marina Danilevsky:
Discovering latent topical phrases in document collections and networks with text components: Leveraging text mining and information network analysis for human oriented applications. University of Illinois Urbana-Champaign, USA, 2014 - [c20]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: 147-156 - [c19]Joshua M. Hailpern, Niranjan Damera Venkata, Marina Danilevsky:
Truncation: all the news that fits we'll print. ACM Symposium on Document Engineering 2014: 165-174 - [c18]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: 398-406 - [i2]Joshua M. Hailpern, Niranjan Damera Venkata, Marina Danilevsky:
Pagination: It's what you say, not how long it takes to say it. CoRR abs/1404.3233 (2014) - 2013
- [c17]Marina Danilevsky, Eunyee Koh:
Information graph model and application to online advertising. UEO@CIKM 2013: 11-14 - [c16]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: 515-526 - [c15]Chi Wang, Marina Danilevsky, Jialu Liu, Nihit Desai, Heng Ji, Jiawei Han:
Constructing Topical Hierarchies in Heterogeneous Information Networks. ICDM 2013: 767-776 - [c14]Jialu Liu, Chi Wang, Marina Danilevsky, Jiawei Han:
Large-Scale Spectral Clustering on Graphs. IJCAI 2013: 1486-1492 - [c13]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: 437-445 - [c12]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: 1458-1461 - [c11]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: 1494-1497 - [i1]Marina Danilevsky, Chi Wang, Nihit Desai, Jingyi Guo, Jiawei Han:
KERT: Automatic Extraction and Ranking of Topical Keyphrases from Content-Representative Document Titles. CoRR abs/1306.0271 (2013) - 2012
- [c10]Cindy Xide Lin, Ming Ji, Marina Danilevsky, Jiawei Han:
Efficient mining of correlated sequential patterns based on null hypothesis. Web-KRM@CIKM 2012: 17-24 - [c9]Quanquan Gu, Marina Danilevsky, Zhenhui Li, Jiawei Han:
Locality Preserving Feature Learning. AISTATS 2012: 477-485 - 2011
- [c8]Joshua M. Hailpern, Marina Danilevsky, Karrie Karahalios:
ACES: aphasia emulation, realism, and the turing test. ASSETS 2011: 83-90 - [c7]Marina Danilevsky, Joshua M. Hailpern, Jiawei Han:
SCENE: Structural Conversation Evolution NEtwork. ASONAM 2011: 29-36 - [c6]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: 609-618 - [c5]Cindy Xide Lin, Qiaozhu Mei, Jiawei Han, Yunliang Jiang, Marina Danilevsky:
The Joint Inference of Topic Diffusion and Evolution in Social Communities. ICDM 2011: 378-387 - [c4]Ming Ji, Jiawei Han, Marina Danilevsky:
Ranking-based classification of heterogeneous information networks. KDD 2011: 1298-1306 - [c3]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: 1255-1258 - 2010
- [c2]Joshua M. Hailpern, Marina Danilevsky, Karrie Karahalios:
Walking in another's shoes: aphasia emulation software. ASSETS 2010: 299-300 - [c1]Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao:
Graph Regularized Transductive Classification on Heterogeneous Information Networks. ECML/PKDD (1) 2010: 570-586
Coauthor Index
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last updated on 2024-10-15 21:40 CEST by the dblp team
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