Scalable Knowledge Intelligence Publications



2022

InteractEva: A Simulation-Based Evaluation Framework for Interactive AI Systems
Yannis Katsis, Maeda F. Hanafi, Martin Santillan Cooper, Yunyao Li
Proceedings of the 36th AAAI Conference on Artificial Intelligence (to appear), 2022

A Simulation-Based Evaluation Framework for Interactive AI Systems and Its Application
Maeda F. Hanafi, Yannis Katsis, Martin Santillan Cooper, Yunyao Li
Proceedings of the 36th AAAI Conference on Artificial Intelligence (IAAI-22) (to appear), 2022


2021

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Ruchir Puri, David S Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Shyam Ramji, Ulrich Finkler, Susan Malaika, Frederick Reiss
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021
Abstract

Natural Language Processing with Pandas DataFrames
Reiss, Frederick and Cutler, Bryan and Eichenberger, Zachary
Proc. Of The 20th Python In Science Conf.(Scipy 2021)

KAAPA: Knowledge Aware Answers from PDF Documents
Nicolas Fauceglia, Mustafa Canim, Alfio Gliozzo, Jennifer J Liang, Nancy Xin Ru Wang, Douglas Burdick, Nandana Mihindukulasooriya, Vittorio Castelli, Guy Feigenblat, David Konopnicki, Yannis Katsis, Radu Florian, Yunyao Li, Salim Roukos, Avirup Sil
35th AAAI Conference on Artificial Intelligence, 2021

XNLP: A Living Survey for Explainable AI Research in Natural Language Processing
Kun Qian, Marina Hailpern, Yannis Katsis, Ban Kawas, Eno Oduor, Lucian Popa, Yunyao Li
26th Annual Conference on Intelligent User Interfaces (IUI), 2021

Development of an Enterprise-Grade Contract Understanding System
Arvind Agarwal, Laura Chiticariu, Poornima Chozhiyath Raman, Marina Hailpern, Diman Ghazi, Ankush Gupta, Shanmukha Guttula, Yannis Katsis, Sekar Krishnamurthy, Yunyao Li, Shubham Mudgal, Vitobha Munigala, Nicholas Phan, Dhaval Sonawane, Sneha Srinivasan, Sudarshan R. Thitte, Mitesh Vasa, Ramiya Venkatachalam, Vinitha Yaski, Huaiyu Zhu
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

AutoText: An End-to-End AutoAI Framework for Text
Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel Valente, Dakuo Wang, Alexandre Evfimievski, Sairam Gurajada, Ban Kawas, Cristiano Malossi, Lucian Popa, Tejaswini Pedapati, Horst Samulowitz, Martin Wistuba, Yunyao Li
35th AAAI Conference on Artificial Intelligence, 2021


2020

CORD-19: The COVID-19 Open Research Dataset
Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Doug Burdick, Darrin Eide, Kathryn Funk, Yannis Katsis, Rodney Michael Kinney, Yunyao Li, Ziyang Liu, William Merrill, Paul Mooney, Dewey A. Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Nancy Xin Ru Wang, Christopher Wilhelm, Boya Xie, Douglas M. Raymond, Daniel S. Weld, Oren Etzioni, Sebastian Kohlmeier
Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020, Association for Computational Linguistics

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

Answering Complex Questions by Combining Information from Curated and Extracted Knowledge Bases
Nikita Bhutani, Xinyi Zheng, Kun Qian, Yunyao Li, H. Jagadish
Proceedings of the First Workshop on Natural Language Interfaces, pp. 1--10, Association for Computational Linguistics, 2020
Abstract

An Intuitive User Interface for Human-in-the-loop Entity Name Parsing and Entity Variant Generation
Kun Qian, Lucian Popa, Yunyao Li
DaSH@KDD 2020

A Survey of the State of Explainable AI for Natural Language Processing
Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen
The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP), 2020

Table Extraction and Understanding for Scientific and Enterprise Applications
Doug Burdick, Marina Danilevsky, Alexandre V. Evfimievski, Yannis Katsis, Nancy Xin Ru Wang
Proceedings of the VLDB Endowment, pp. 3433-3436, 2020

Learning Structured Representations of Entity Names using Active Learning and Weak Supervision
Kun Qian, Poornima Chozhiyath Raman, Lucian Popa, Yunyao Li
EMNLP 2020

Ontology Mediated Information Extraction with MASTRO SYSTEM-T
Domenico Lembo, Yunyao Li, Lucian Popa, Kun Qian, Federico Scafoglieri
ISWC (demo track), 2020

A Survey of the State of Explainable AI for Natural Language Processing
Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katasis, Ban Kawas, Prithviraj Sen
AACL-IJCNLP 2020 (to appear)

Explainability for Natural Language Processing
Shipi Dhanorkar, Yunyao Li, Lucian Popa, Kun Qian*, Christine T Wolf, and Anbang Xu
The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics. (AACL-IJCNLP) 2020, to appear

XAIT: An Interactive Website for Explainable AI for Text
Erick Oduor, Kun Qian, Yunyao Li, and Lucian Popa
ACM International Conference on Intelligent User Interface (IUI), to appear, 2020

PARTNER: Human-in-the-loop Entity Name Understanding with Deep Learning
Kun Qian, Poornima Chozhiyath Raman, Yunyao Li, and Lucian Popa
AAAI 2020 (demo track)
Abstract


2019

[Tutorial] Learning-based Methods with Human-in-the-loop for Entity Resolution
Sairam Gurajada, Lucian Popa, Kun Qian, Prithviraj Sen
CIKM, 2019

Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies
Qiuhao Lu, Nisansa de Silva, Sabin Kafle, Jiazhen Cao, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Brent Hailpern, Berthold Reinwald and Yunyao Li
The 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB), 2019

Challenges in the construction of knowledge bases for human microbiome-diseas associations
Varsha Dave Badal, Dustin Wright, Yannis Katsis, Ho-Cheol Kim, Austin D. Swafford, Rob Knight, Chun-Nan Hsu,
Microbiome 7(129), 2019
Abstract

Towards Universal Semantic Representation
Huaiyu Zhu, Yunyao Li, Laura Chiticariu
Proceedings of the First International Workshop on Designing Meaning Representations, pp. 177--181, Association for Computational Linguistics, 2019
Abstract

Natural question generation from query data using natural language processing system
William S. Ko, Malous M. Kossarian, Douglas A. Smith, Huaiyu Zhu
Patent US Patent 10,423,649
Abstract

ModelLens: An Interactive System to Support the Model Improvement Practices of Data Science Teams
Yannis Katsis, Christine T. Wolf
Proceedings of the 22nd ACM Conference on Computer-Supported Cooperative Work & Social Computing, 2019

Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases
Christopher Baik, H. V. Jagadish, Yunyao Li
35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019, pp. 374--385

A Study on Interaction in Human-in-the-Loop Machine Learning for Text Analytics
Yiwei Yang, Eser Kandogan, Yunyao Li, Prithviraj Sen, Walter Lasecki
Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), Los Angeles, USA, March 20, 2019.

Transparent Linguistic models for Contract Understanding and Comparison
Arvind Agarwal, Laura Chiticariu, Poornima Chozhiyath Raman, Marina Danilevsky, Diman Ghazi, Ankush Gupta, Shanmukh Guttula, Yannis Katsis, Rajasekar Krishnamurthy, Yunyao Li, Shubham Mudgal, Vitobha Munigala, Nicholas Phan, Dhaval Sonawane, Sneha Srinivasan, Sudarshan Thitte, Shivakumar Vaithyanathan, Mitesh Vasa, Ramiya Venkatachalam, Vinitha Yaski, Huaiyu Zhu
Natural Legal Language Processing (NLLP) Workshop @ NAACL, 2019

Towards Universal Semantic Representation
Huaiyu Zhu, Yunyao Li, Laura Chiticariu
International Workshop on Designing Meaning Representations (DMR), collocated with ACL 2019

Efficiently Processing Workflow Provenance Queries on SPARK
Rajmohan C, Pranay Lohia, Himanshu Gupta, Siddhartha Brahma, Mauricio A. Hernandez, Sameep Mehta
ICDCS , 2019

HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop
Yiwei Yang, Eser Kandogan, Yunyao Li, Walter S. Lasecki, Prithviraj Sen
Annual Meeting of the Association for Computational Linguistics, 2019

Tutorial: Declarative Text Understanding with SystemT
Huaiyu Zhu, Yunyao Li, Laura Chiticariu, Marina Danilevsky, Sanjana Sahayaraj, Teruki Tauchi
KDD 2019

SystemER: A Human-in-the-loop System for Explainable Entity Resolution
Kun Qian, Lucian Popa, and Prithviraj Sen
VLDB 2019 (demo track)

Low-resource Deep Entity Resolution with Transfer and Active Learning
Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, Lucian Popa
ACL 2019

Learning Explainable Entity Resolution Algorithms for Small Business Data using SystemER
Kun Qian, Dougals Burdick, Sairam Gurajada, Lucian Popa
DSMM 2019 @ SIGMOD

NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction
Dustin Wright, Yannis Katsis, Raghav Mehta, Chun-Nan Hsu
Automated Knowledge Base Construction, 2019
(Best Application Paper)

Knowledge Refinement via Rule Selection
Phokion Kolaitis, Lucian Popa, Kun Qian
AAAI 2019 (acceptance rate: 16.2%, oral presentation)

Expressive power of entity-linking frameworks
Douglas Burdick, Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, Wang-Chiew Tan
Journal of Computer and System Sciences100, 44-69, 2019
Abstract   mathematics, machine learning, expressive power, entity linking, discrete mathematics, artificial intelligence


2018

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

CROSS-LINGUAL INFORMATION EXTRACTION PROGRAM
Alan Akbik, Laura Chiticariu, Marina Danilevsky Hailpern, Yunyao Li, Huaiyu Zhu
Patent US Patent 10,042,846
Abstract   theoretical computer science, source code, parsing, information extraction, computer science

A Hardware Compilation Framework for Text Analytics Queries
R. Polig, K. Atasu, H. Giefers, C. Hagleitner, L. Chiticariu, F. R. Reiss, H. Zhu, P. H. Hofstee.
Journal of Parallel and Distributed Computing (JPDC)111, 260-272, 2018
Abstract

High prevalence and adverse health effects of loneliness in community-dwelling adults across the lifespan: role of wisdom as a protective factor
Ellen E. Lee, Colin Depp, Barton W. Palmer, Danielle Glorioso, Rebecca Daly, Jinyuan Liu, Xin M. Tu, Ho-Cheol Kim, Peri Tarr, Yasunori Yamada, and Dilip V. Jeste
International Psychogeriatrics, 2018
Abstract

Non-deterministic finite state machine module for use in a regular expression matching system
Kubilay Atasu, Christoph Hagleitner, Raphael Polig, Frederick R Reiss
US Patent 9,983,876

SystemT: Declarative Text Understanding for Enterprise
Laura Chiticariu, Marina Danilevsky, Yunyao Li, Frederick Reiss, Huaiyu Zhu
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018, pp. 76--83
Abstract


DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding
Min Li, Marina Danilevsky, Sara Noeman, Yunyao Li
Proceedings of the 22nd Conference on Computational Natural Language Learning, pp. 444--453, Association for Computational Linguistics, 2018

Active Learning of GAV Schema Mappings
Balder ten Cate, Phokion G. Kolaitis, Kun Qian, Wang-Chiew Tan
Proceedings of the 37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, pp. 355--368, ACM, 2018
(presentation: https://www.youtube.com/watch?v=FsQttqJQLXA)

LUSTRE: An Interactive System for Entity Structured Representation and Variant Generation
K. Qian, N. Bhutani, Y. Li, H. V. Jagadish, M. Hernandez
2018 IEEE 34th International Conference on Data Engineering (ICDE), pp. 1613-1616

Exploiting Structure in Representation of Named Entities using Active Learning
Nikita Bhutani, Kun Qian, Yunyao Li, HV Jagadish, Mauricio Hernandez, Mitesh Vasa
Proceedings of the 27th International Conference on Computational Linguistics, pp. 687--699, 2018

Efficiently Processing Workflow Provenance Queries on SPARK
Rajmohan C, Pranay Lohia, Himanshu Gupta, Siddhartha Brahma, Mauricio A. Hernandez, Sameep Mehta
arXiv preprint arXiv:1808.08424, 2018
Abstract

SufiSent - Universal Sentence Representations Using Suffix Encodings
Siddhartha Brahma
ICLR , 2018

Generation of a natural language resource using a parallel corpus
Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yunyao Li, Huaiyu Zhu
Patent US Patent 9,898,460
Abstract

On optimizing operator fusion plans for large-scale machine learning in systemML
Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Prithviraj Sen, Alexandre V Evfimievski, Niketan Pansare
Proceedings of the VLDB Endowment 11(12), 1755--1768, VLDB Endowment, 2018

Deep Learning with Apache SystemML
Niketan Pansare, Michael Dusenberry, Nakul Jindal, Matthias Boehm, Berthold Reinwald, Prithviraj Sen
arXiv preprint arXiv:1802.04647, 2018

Unified text analytics annotator development life cycle combining rule-based and machine learning based techniques
Laura Chiticariu, Jeffrey Thomas Kreulen, Rajasekar Krishnamurthy, Prithviraj Sen, Shivakumar Vaithyanathan
US Patent App. 15/444,051

Defining and Capturing the Competitor Relationship across Financial Datasets
Min Li, Douglas Burdick, Rajasekar Krishnamurthy, Lucian Popa
Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2018
Abstract   subject matter expert, parent company, location, f1 score, extensibility, entity linking, data mining, computer science, competitor analysis, analytics

Natural Language Data Management and Interfaces
Yunyao Li, Davood Rafiei
Synthesis Lectures on Data Management 10(2), 1-156, 2018
Abstract   search engine indexing, publishing, natural language processing, natural language, digitization, data modeling, data mining, data management, computer science, artificial intelligence


2017

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

Synthesizing Extraction Rules from User Examples with SEER
Maeda F. Hanafi, Azza Abouzied, Laura Chiticariu, Yunyao Li
SIGMOD, pp. 1687--1690, 2017

Natural Language Data Management and Interfaces: Recent Development and Open Challenges
Yunyao Li, Davood Rafiei
SIGMOD, pp. 1765--1770, 2017
slides: http://bit.ly/2rUMH6Y

SEER: Auto-Generating Information Extraction Rules from User-Specified Examples
Maeda Hanafi, Azza Abouzied, Laura Chiticariu, Yunyao Li
ACM CHI Conference on Human Factors in Computing Systems, 2017

Towards Re-defining Relation Understanding in Financial Domain
Chenguang Wang, Doug Burdick, Laura Chiticariu, Rajasekar krishnamurthy, Yunyao Li, Huaiyu Zhu
Data Science for Macro-Modeling with Financial and Economic Datasets (DSMM), collocated with ACM SIGMOD, 2017

Active learning for black-Box semantic role labeling with neural factors
Chenguang Wang, Laura Chiticariu, and Yunyao Li
IJCAI, 2017
Abstract

Crowd-in-the-loop: A hybrid approach for annotating semantic roles
Chenguang Wang, Alan Akbik, Laura Chiticariu, Yunyao Li, Fei Xia, and Anbang Xu
EMNLP, 2017

Active Learning for Large-Scale Entity Resolution
Qian, Kun and Popa, Lucian and Sen, Prithviraj
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp. 1379--1388
Abstract

Creation and Interaction with Large-scale Domain-specific Knowledge Bases
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.
Proc. VLDB Endow. 10(12), 1965--1968, VLDB Endowment, 2017
Abstract

Maximizing the information content of system logs
Frederick R Reiss, Saeed Ghanbari, Prithviraj Sen
US Patent 9,665,625

SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning.
Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen
CIDR, 2017

Creation and interaction with large-scale domain-specific knowledge bases
Shreyas Bharadwaj, Laura Chiticariu, Marina Danilevsky, Samarth Dhingra, Samved Divekar, Arnaldo Carreno-Fuentes, Himanshu Gupta, Nitin Gupta, S-D Han, M Hern\'andez, others
Proceedings of the VLDB Endowment 10(12), 1965--1968, VLDB Endowment, 2017

A Rectangle Mining Method for Understanding the Semantics of Financial Tables
Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre Evfimievski, Prithviraj Sen
Document Analysis and Recognition (ICDAR), 2017 14th IAPR International Conference on, pp. 268--273

Active Learning for Large-Scale Entity Resolution
Kun Qian, Lucian Popa, Prithviraj Sen
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp. 1379--1388


2016

Consistency in the face of change: An adaptive approach to physical layer cooperation
A. Sengupta, Y. H. Ezzeldin, S. Brahma, C. Fragouli, S. Diggavi
arXiv preprint arXiv:1612.02062, 2016

Distributed Processing of Generalized Graph-Pattern Queries in SPARQL 1.1
Sairam Gurajada, Martin Theobald
CoRRabs/1609.05293, 2016

Multilingual aliasing for auto-generating proposition banks
Akbik, Alan and Guan, Xinyu and Li, Yunyao
COLING, 2016
Abstract

Polyglot: Multilingual semantic role labeling with unified labels
Akbik, Alan and Li, Yunyao
ACL, 1, 2016
Abstract

Towards semi-automatic generation of proposition banks for low-resource languages
Akbik, Alan and Kumar, Vishwajeet and Li, Yunyao
EMNLP, 2016
Abstract

Multilingual Information Extraction with PolyglotIE
Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yonas Kbrom, Yunyao Li, Huaiyu Zhu
COLING, pp. 268--272, 2016

K-SRL: Instance-based Learning for Semantic Role Labeling
Alan Akbik, Yunyao Li
COLING, pp. 599--608, 2016

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

Multilingual Information Extraction with PolyglotIE
Akbik, Alan and Chiticariu, Laura and Danilevsky, Marina and Kbrom, Yonas and Li, Yunyao and Zhu, Huaiyu
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pp. 268-272, The COLING 2016 Organizing Committee
Abstract

Towards High-Precision and Reusable Entity Resolution Algorithms over Sparse Financial Datasets
Burdick, Douglas and Popa, Lucian and Krishnamurthy, Rajasekar
Proceedings of the Second International Workshop on Data Science for Macro-Modeling, pp. 18, 2016
Abstract

KOGNAC: Efficient Encoding of Large Knowledge Graphs
Jacopo Urbani, Sourav Dutta, Sairam Gurajada, Gerhard Weikum
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, pp. 3896--3902

Hybrid parallelization strategies for machine learning programs on top of MapReduce
Matthias Boehm, Douglas Burdick, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan
US Patent 9,286,044

Hybrid parallelization strategies for machine learning programs on top of mapreduce
Matthias Boehm, Doughlas Burdick, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan
US Patent App. 14/993,722

SystemML: Declarative machine learning on spark
Matthias Boehm, Michael W Dusenberry, Deron Eriksson, Alexandre V Evfimievski, Faraz Makari Manshadi, Niketan Pansare, Berthold Reinwald, Frederick R Reiss, Prithviraj Sen, Arvind C Surve, others
Proceedings of the VLDB Endowment 9(13), 1425--1436, VLDB Endowment, 2016




Awards

2021 - IBM Outstanding Research Accomplishment Award (upgrade): "Research Contributions to Watson NLP Stack"

2021 - IBM Research Accomplishment Award: "Research Contributions to Watson OneConversion"

2020 - IBM Research Accomplishment Award: "Research Contributions to Watson NLP Stack"

2020 - IBM Research Accomplishment Award: "Deep Thinking Question Answering"

2020 - IBM Special Division Accomplishment Award: "Research Contributions to the IBM COVID-19 Technology Taskforce"

2020 - ISWC Best Poster/Demo Award

2020 - Alonzo Church Award for Outstanding Contributions to Logic and Computation

2019 - IBM Research Accomplishment Award: "Expanded Shallow Semantic Parsing and its Transfer to Watson Products"

2019 - IBM Research Accomplishment Award: "Research Contributions to Document Understanding (Document Conversion, Compare and Table Understanding)"

2019 - IBM Research Accomplishment Award: "IBM Services Solution Advisor and Cognitive Document Risk Analyzer"

2019 - AKBC Best Application Paper Award

2019 - YMCA Silicon Valley Tribute to Women Award

2018 - IBM Research Accomplishment Award: "Foundations for Inverses of Schema Mappings and Applications to Schema Evolution Management"

2018 - IBM Research Accomplishment Award: "Declarative Machine/Deep Learning (SystemML)"

2018 - NAACL Test-of-Time Award

2017 - IBM Research Accomplishment Award: "High-Level Language for Entity Resolution and Integration"

2016 - IBM Research Accomplishment Award

2016 - VLDB Best Paper Award

2015 - ICDT Best Paper Award

2014 - ACM PODS Test-of-Time Award

2013 - IBM Research Outstanding Technical Accomplishment Award

2013 - IBM Research Accomplishment Award

2013 - ICDT Test-of-Time Award

2010 - IBM Research Accomplishment Award

2008 - IBM Research Accomplishment Award