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2020 – today
- 2024
[c32]Eunjeong Hwang, Yichao Zhou, James B. Wendt, Beliz Gunel, Nguyen Vo, Jing Xie, Sandeep Tata:
Enhancing Incremental Summarization with Structured Representations. EMNLP (Findings) 2024: 3830-3842- [c31]Jing Xie, James B. Wendt, Yichao Zhou, Seth Ebner, Sandeep Tata:
FieldSwap: Data Augmentation for Effective Form-Like Document Extraction. ICDE 2024: 4722-4732 - [c30]Ying Sheng, Sudeep Gandhe, Bhargav Kanagal, Nick Edmonds, Zachary Fisher, Sandeep Tata, Aarush Selvan:
Measuring an LLM's Proficiency at using APIs: A Query Generation Strategy. KDD 2024: 5680-5689 - [i13]Beliz Gunel, James B. Wendt, Jing Xie, Yichao Zhou, Nguyen Vo, Zachary Fisher, Sandeep Tata:
STRUM-LLM: Attributed and Structured Contrastive Summarization. CoRR abs/2403.19710 (2024) - [i12]Nirupan Ananthamurugan, Dat Duong, Philip George, Ankita Gupta, Sandeep Tata, Beliz Gunel:
CASPR: Automated Evaluation Metric for Contrastive Summarization. CoRR abs/2404.15565 (2024) - [i11]Eunjeong Hwang, Yichao Zhou, Beliz Gunel, James Bradley Wendt, Sandeep Tata:
SUMIE: A Synthetic Benchmark for Incremental Entity Summarization. CoRR abs/2406.05079 (2024) - [i10]Eunjeong Hwang, Yichao Zhou, James Bradley Wendt, Beliz Gunel, Nguyen Vo, Jing Xie, Sandeep Tata:
Enhancing Incremental Summarization with Structured Representations. CoRR abs/2407.15021 (2024) - 2023
- [c29]Yichao Zhou, James B. Wendt, Navneet Potti, Jing Xie, Sandeep Tata:
Selective Labeling: How to Radically Lower Data-Labeling Costs for Document Extraction Models. EMNLP 2023: 3847-3860 - [c28]Zilong Wang
, Yichao Zhou, Wei Wei, Chen-Yu Lee, Sandeep Tata:
VRDU: A Benchmark for Visually-rich Document Understanding. KDD 2023: 5184-5193 - [c27]Beliz Gunel, Sandeep Tata, Marc Najork:
STRUM: Extractive Aspect-Based Contrastive Summarization. WWW (Companion Volume) 2023: 28-31 - 2022
- [c26]Ani Nenkova, Douglas Burdick, Benjamin Han, Dave Lewis, Sandeep Tata, Dan Tecuci:
DI-2022: The Third Document Intelligence Workshop. KDD 2022: 4890-4891 - [c25]Yichao Zhou, Ying Sheng, Nguyen Vo, Nick Edmonds, Sandeep Tata:
Learning Transferable Node Representations for Attribute Extraction from Web Documents. WSDM 2022: 1479-1487 - [i9]Beliz Gunel, Navneet Potti, Sandeep Tata, James B. Wendt, Marc Najork, Jing Xie:
Data-Efficient Information Extraction from Form-Like Documents. CoRR abs/2201.02647 (2022) - [i8]Yichao Zhou, James B. Wendt, Navneet Potti, Jing Xie, Sandeep Tata:
Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models. CoRR abs/2210.16391 (2022) - [i7]Zilong Wang, Yichao Zhou, Wei Wei, Chen-Yu Lee, Sandeep Tata:
A Benchmark for Structured Extractions from Complex Documents. CoRR abs/2211.15421 (2022) - [i6]Jing Xie, James B. Wendt, Yichao Zhou, Seth Ebner, Sandeep Tata:
An Augmentation Strategy for Visually Rich Documents. CoRR abs/2212.10047 (2022) - 2021
- [j12]Sandeep Tata, Navneet Potti, James B. Wendt, Lauro Beltrão Costa, Marc Najork, Beliz Gunel:
Glean: Structured Extractions from Templatic Documents. Proc. VLDB Endow. 14(6): 997-1005 (2021) - [c24]Benjamin Han, Douglas Burdick, Dave Lewis, Yijuan Lu, Hamid Motahari, Sandeep Tata:
DI-2021: The Second Document Intelligence Workshop. KDD 2021: 4127-4128 - [i5]Yichao Zhou, Ying Sheng, Nguyen Vo, Nick Edmonds, Sandeep Tata:
Simplified DOM Trees for Transferable Attribute Extraction from the Web. CoRR abs/2101.02415 (2021) - 2020
- [c23]Bodhisattwa Prasad Majumder, Navneet Potti, Sandeep Tata, James Bradley Wendt, Qi Zhao, Marc Najork:
Representation Learning for Information Extraction from Form-like Documents. ACL 2020: 6495-6504 - [c22]Ying Sheng, Nguyen Vo, James B. Wendt, Sandeep Tata, Marc Najork:
Migrating a Privacy-Safe Information Extraction System to a Software 2.0 Design. CIDR 2020 - [c21]Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata:
FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents. KDD 2020: 1092-1102 - [c20]Suming J. Chen, Zhen Qin, Zac Wilson, Brian Calaci, Michael Rose, Ryan Evans, Sean Abraham, Donald Metzler, Sandeep Tata, Mike Colagrosso:
Improving Recommendation Quality in Google Drive. KDD 2020: 2900-2908 - [i4]Abbas Kazerouni, Qi Zhao, Jing Xie, Sandeep Tata, Marc Najork:
Active Learning for Skewed Data Sets. CoRR abs/2005.11442 (2020) - [i3]Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata:
FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents. CoRR abs/2010.10755 (2020)
2010 – 2019
- 2019
- [j11]Michael J. Whittaker, Nick Edmonds, Sandeep Tata, James B. Wendt, Marc Najork:
Online Template Induction for Machine-Generated Emails. Proc. VLDB Endow. 12(11): 1235-1248 (2019) - [c19]Sandeep Tata, Vlad Panait, Suming J. Chen, Mike Colagrosso:
ItemSuggest: A Data Management Platform for Machine Learned Ranking Services. CIDR 2019 - [c18]Furkan Kocayusufoglu, Ying Sheng, Nguyen Vo, James B. Wendt, Qi Zhao, Sandeep Tata, Marc Najork:
RiSER: Learning Better Representations for Richly Structured Emails. WWW 2019: 886-895 - 2018
- [c17]Bhargav Kanagal, Sandeep Tata:
Recommendations for All: Solving Thousands of Recommendation Problems Daily. ICDE 2018: 1404-1413 - [c16]Ying Sheng, Sandeep Tata, James B. Wendt, Jing Xie, Qi Zhao, Marc Najork:
Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email. KDD 2018: 734-743 - [c15]Navneet Potti, James B. Wendt, Qi Zhao, Sandeep Tata, Marc Najork:
Hidden in Plain Sight: Classifying Emails Using Embedded Image Contents. WWW 2018: 1865-1874 - [r2]Sandeep Tata, Jignesh M. Patel:
Query Languages and Evaluation Techniques for Biological Sequence Data. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [c14]Sandeep Tata, Alexandrin Popescul, Marc Najork, Mike Colagrosso, Julian Gibbons, Alan Green, Alexandre Mah, Michael Smith, Divanshu Garg, Cayden Meyer, Reuben Kan:
Quick Access: Building a Smart Experience for Google Drive. KDD 2017: 1643-1651 - 2014
- [c13]Wei Tan, Sandeep Tata, Yuzhe Richard Tang, Liana L. Fong:
Diff-Index: Differentiated Index in Distributed Log-Structured Data Stores. EDBT 2014: 700-711 - 2013
- [j10]Hailiang Huang, Sandeep Tata, Robert J. Prill:
BlueSNP: R package for highly scalable genome-wide association studies using Hadoop clusters. Bioinform. 29(1): 135-136 (2013) - [j9]Andrey Balmin, Kevin S. Beyer, Vuk Ercegovac, John McPherson, Fatma Özcan, Hamid Pirahesh, Eugene J. Shekita, Yannis Sismanis, Sandeep Tata, Yuanyuan Tian:
A platform for eXtreme Analytics. IBM J. Res. Dev. 57(3/4): 4 (2013) - [j8]Liana L. Fong, Yuqing Gao, Xavier Guerin, Yonggang Liu, T. Salo, Seetharami Seelam, Wei Tan, Sandeep Tata:
Toward a scale-out data-management middleware for low-latency enterprise computing. IBM J. Res. Dev. 57(3/4): 6 (2013) - [c12]Boduo Li, Sandeep Tata, Yannis Sismanis:
Sparkler: supporting large-scale matrix factorization. EDBT 2013: 625-636 - 2012
- [c11]Tim Kaldewey, Eugene J. Shekita, Sandeep Tata:
Clydesdale: structured data processing on MapReduce. EDBT 2012: 15-25 - [c10]Andrey Balmin, Tim Kaldewey, Sandeep Tata:
Clydesdale: structured data processing on hadoop. SIGMOD Conference 2012: 705-708 - 2011
- [j7]Jun Rao, Eugene J. Shekita, Sandeep Tata:
Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore. Proc. VLDB Endow. 4(4): 243-254 (2011) - [j6]Avrilia Floratou, Jignesh M. Patel, Eugene J. Shekita, Sandeep Tata:
Column-Oriented Storage Techniques for MapReduce. Proc. VLDB Endow. 4(7): 419-429 (2011) - [j5]Avrilia Floratou, Sandeep Tata, Jignesh M. Patel:
Efficient and Accurate Discovery of Patterns in Sequence Data Sets. IEEE Trans. Knowl. Data Eng. 23(8): 1154-1168 (2011) - [i2]Jun Rao, Eugene J. Shekita, Sandeep Tata:
Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore. CoRR abs/1103.2408 (2011) - [i1]Avrilia Floratou, Jignesh M. Patel, Eugene J. Shekita, Sandeep Tata:
Column-Oriented Storage Techniques for MapReduce. CoRR abs/1105.4252 (2011) - 2010
- [c9]Avrilia Floratou, Sandeep Tata, Jignesh M. Patel:
Efficient and accurate discovery of patterns in sequence datasets. ICDE 2010: 461-472
2000 – 2009
- 2009
- [j4]Kevin S. Beyer, Vuk Ercegovac, Rajasekar Krishnamurthy, Sriram Raghavan, Jun Rao, Frederick Reiss, Eugene J. Shekita, David E. Simmen, Sandeep Tata, Shivakumar Vaithyanathan, Huaiyu Zhu:
Towards a Scalable Enterprise Content Analytics Platform. IEEE Data Eng. Bull. 32(1): 28-35 (2009) - [c8]Ning Li, Jun Rao, Eugene J. Shekita, Sandeep Tata:
Leveraging a scalable row store to build a distributed text index. CloudDB@CIKM 2009: 29-36 - [r1]Sandeep Tata, Jignesh M. Patel:
Query Languages and Evaluation Techniques for Biological Sequence Data. Encyclopedia of Database Systems 2009: 2261-2264 - 2008
- [c7]Sandeep Tata, Lin Qiao, Guy M. Lohman:
On common tools for databases - The case for a client-based index advisor. ICDE Workshops 2008: 42-49 - [c6]Sandeep Tata, Jignesh M. Patel:
FLAME: Shedding Light on Hidden Frequent Patterns in Sequence Datasets. ICDE 2008: 1343-1345 - [c5]Sandeep Tata, Guy M. Lohman:
SQAK: doing more with keywords. SIGMOD Conference 2008: 889-902 - 2007
- [b1]Sandeep Tata:
Declarative Querying For Biological Sequences. University of Michigan, USA, 2007 - [j3]Sandeep Tata, Jignesh M. Patel:
Estimating the selectivity of tf-idf based cosine similarity predicates. SIGMOD Rec. 36(2): 7-12 (2007) - [j2]Sandeep Tata, Jignesh M. Patel:
Estimating the selectivity of tf-idf based cosine similarity predicates. SIGMOD Rec. 36(4): 75-80 (2007) - [c4]Sandeep Tata, Willis Lang, Jignesh M. Patel:
Periscope/SQ: Interactive Exploration of Biological Sequence Databases. VLDB 2007: 1406-1409 - 2006
- [c3]Sandeep Tata, Jignesh M. Patel, James S. Friedman, Anand Swaroop:
Declarative Querying for Biological Sequences. ICDE 2006: 87 - 2005
- [j1]Yuanyuan Tian, Sandeep Tata, Richard A. Hankins, Jignesh M. Patel:
Practical methods for constructing suffix trees. VLDB J. 14(3): 281-299 (2005) - 2004
- [c2]Sandeep Tata, Richard A. Hankins, Jignesh M. Patel:
Practical Suffix Tree Construction. VLDB 2004: 36-47 - 2003
- [c1]Sandeep Tata, Jignesh M. Patel:
PiQA: An Algebra for Querying Protein Data Sets. SSDBM 2003: 141-150
Coauthor Index
aka: James Bradley Wendt
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last updated on 2024-11-19 21:45 CET by the dblp team
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