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ORCIDSunita Sarawagi
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- affiliation: Indian Institute of Technology, Bombay, India
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2020 – today
- 2024
[c100]Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi:
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. AAAI 2024: 14397-14404- [c99]Ashutosh Sathe, Sunita Sarawagi:
Efficient Training of Language Models with Compact and Consistent Next Token Distributions. ACL (Findings) 2024: 12051-12064 - [c98]Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi:
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect. ICML 2024 - [i40]Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi:
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. CoRR abs/2401.15447 (2024) - [i39]Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi:
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect. CoRR abs/2406.03864 (2024) - [i38]Ashutosh Sathe, Sunita Sarawagi:
Efficient Training of Language Models with Compact and Consistent Next Token Distributions. CoRR abs/2407.02819 (2024) - [i37]Ashish R. Mittal, Darshan Prabhu, Sunita Sarawagi, Preethi Jyothi:
SALSA: Speedy ASR-LLM Synchronous Aggregation. CoRR abs/2408.16542 (2024) - 2023
- [c97]Abhijeet Awasthi, Soumen Chakrabarti, Sunita Sarawagi:
Structured Case-Based Reasoning for Inference-Time Adaptation of Text-to-SQL Parsers. AAAI 2023: 12536-12544 - [c96]Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha Talukdar:
Bootstrapping Multilingual Semantic Parsers using Large Language Models. EACL 2023: 2447-2459 - [c95]Adithya Bhaskar, Tushar Tomar, Ashutosh Sathe, Sunita Sarawagi:
Benchmarking and Improving Text-to-SQL Generation under Ambiguity. EMNLP 2023: 7053-7074 - [c94]Mayank Kothyari, Dhruva Dhingra, Sunita Sarawagi, Soumen Chakrabarti:
CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL. EMNLP 2023: 14054-14066 - [c93]Ashish R. Mittal, Sunita Sarawagi, Preethi Jyothi, George Saon, Gakuto Kurata:
Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries. EMNLP 2023: 14820-14835 - [c92]Sunita Sarawagi:
Modern AI for Analyzing Large Structured Databases: Opportunities and Challenges. HiPC 2023: xxii - [c91]Ashish R. Mittal, Sunita Sarawagi, Preethi Jyothi:
In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations. ICLR 2023 - [c90]Harshit Varma, Abhijeet Awasthi, Sunita Sarawagi:
Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models. ICML 2023: 34908-34923 - [c89]Vinit S. Unni, Ashish R. Mittal, Preethi Jyothi, Sunita Sarawagi:
Improving RNN-Transducers with Acoustic LookAhead. INTERSPEECH 2023: 4419-4423 - [i36]Abhijeet Awasthi, Soumen Chakrabarti, Sunita Sarawagi:
Structured Case-based Reasoning for Inference-time Adaptation of Text-to-SQL parsers. CoRR abs/2301.04110 (2023) - [i35]Vinit S. Unni, Ashish R. Mittal, Preethi Jyothi, Sunita Sarawagi:
Improving RNN-Transducers with Acoustic LookAhead. CoRR abs/2307.05006 (2023) - [i34]Adithya Bhaskar, Tushar Tomar, Ashutosh Sathe, Sunita Sarawagi:
Benchmarking and Improving Text-to-SQL Generation under Ambiguity. CoRR abs/2310.13659 (2023) - [i33]Mayank Kothyari, Dhruva Dhingra, Sunita Sarawagi, Soumen Chakrabarti:
CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL. CoRR abs/2311.01173 (2023) - 2022
- [j32]Balaraman Ravindran, Sunita Sarawagi, Aditi Jain:
AI and data science centers in top Indian academic institutions. Commun. ACM 65(11): 94-97 (2022) - [c88]Vaidehi Patil, Partha P. Talukdar, Sunita Sarawagi:
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. ACL (1) 2022: 219-233 - [c87]Soumya Chatterjee, Sunita Sarawagi, Preethi Jyothi:
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding. ACL (1) 2022: 6675-6689 - [c86]Aditya Vavre, Abhirut Gupta, Sunita Sarawagi:
Adapting Multilingual Models for Code-Mixed Translation. EMNLP (Findings) 2022: 7133-7141 - [c85]Priyesh Jain, Sunita Sarawagi, Tushar Tomar:
Quality Scoring of Source Words in Neural Translation Models. EMNLP 2022: 10683-10691 - [c84]Abhijeet Awasthi, Ashutosh Sathe, Sunita Sarawagi:
Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers. EMNLP 2022: 11548-11562 - [c83]Vinit Unni, Shreya Khare, Ashish R. Mittal, Preethi Jyothi, Sunita Sarawagi, Samarth Bharadwaj:
Adaptive Discounting of Implicit Language Models in RNN-Transducers. ICASSP 2022: 8122-8126 - [c82]Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi:
Focus on the Common Good: Group Distributional Robustness Follows. ICLR 2022 - [c81]Prathamesh Deshpande, Sunita Sarawagi:
Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts. IJCAI 2022: 2916-2922 - [c80]Lokesh Nagalapatti, Guntakanti Sai Koushik, Abir De, Sunita Sarawagi:
Learning Recourse on Instance Environment to Enhance Prediction Accuracy. NeurIPS 2022 - [i32]Vaidehi Patil, Partha P. Talukdar, Sunita Sarawagi:
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. CoRR abs/2203.01976 (2022) - [i31]Vinit Unni, Shreya Khare, Ashish R. Mittal, Preethi Jyothi, Sunita Sarawagi, Samarth Bharadwaj:
Adaptive Discounting of Implicit Language Models in RNN-Transducers. CoRR abs/2203.02317 (2022) - [i30]Soumya Chatterjee, Sunita Sarawagi, Preethi Jyothi:
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding. CoRR abs/2204.00871 (2022) - [i29]Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha P. Talukdar:
Bootstrapping Multilingual Semantic Parsers using Large Language Models. CoRR abs/2210.07313 (2022) - [i28]Abhijeet Awasthi, Ashutosh Sathe, Sunita Sarawagi:
Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers. CoRR abs/2210.16613 (2022) - 2021
- [j31]Parikshit Bansal, Prathamesh Deshpande, Sunita Sarawagi:
Missing Value Imputation on Multidimensional Time Series. Proc. VLDB Endow. 14(11): 2533-2545 (2021) - [j30]Arjit Jain, Sunita Sarawagi, Prithviraj Sen:
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations. Proc. VLDB Endow. 15(1): 31-45 (2021) - [c79]Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha P. Talukdar, Sunita Sarawagi:
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study. ACL/IJCNLP (1) 2021: 1312-1323 - [c78]Abhijeet Awasthi, Aman Kansal, Sunita Sarawagi, Preethi Jyothi:
Error-Driven Fixed-Budget ASR Personalization for Accented Speakers. ICASSP 2021: 7033-7037 - [c77]Shreya Khare, Ashish R. Mittal, Anuj Diwan, Sunita Sarawagi, Preethi Jyothi, Samarth Bharadwaj:
Low Resource ASR: The Surprising Effectiveness of High Resource Transliteration. Interspeech 2021: 1529-1533 - [c76]Abhirut Gupta, Aditya Vavre, Sunita Sarawagi:
Training Data Augmentation for Code-Mixed Translation. NAACL-HLT 2021: 5760-5766 - [c75]Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi:
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. NeurIPS 2021: 19198-19209 - [c74]Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi:
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations. NeurIPS 2021: 23140-23151 - [c73]Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi:
Long Horizon Forecasting with Temporal Point Processes. WSDM 2021: 571-579 - [i27]Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi:
Long Horizon Forecasting With Temporal Point Processes. CoRR abs/2101.02815 (2021) - [i26]Parikshit Bansal, Prathamesh Deshpande, Sunita Sarawagi:
Missing Value Imputation on Multidimensional Time Series. CoRR abs/2103.01600 (2021) - [i25]Abhijeet Awasthi, Aman Kansal, Sunita Sarawagi, Preethi Jyothi:
Error-driven Fixed-Budget ASR Personalization for Accented Speakers. CoRR abs/2103.03142 (2021) - [i24]Arjit Jain, Sunita Sarawagi, Prithviraj Sen:
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations. CoRR abs/2104.03986 (2021) - [i23]Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha P. Talukdar, Sunita Sarawagi:
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study. CoRR abs/2106.03958 (2021) - [i22]Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi:
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations. CoRR abs/2108.06514 (2021) - [i21]Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi:
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. CoRR abs/2108.06721 (2021) - [i20]Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi:
Focus on the Common Good: Group Distributional Robustness Follows. CoRR abs/2110.02619 (2021) - [i19]Prathamesh Deshpande, Sunita Sarawagi:
Long Range Probabilistic Forecasting in Time-Series using High Order Statistics. CoRR abs/2111.03394 (2021) - 2020
- [c72]Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi:
Robust Data Programming with Precision-guided Labeling Functions. AAAI 2020: 3397-3404 - [c71]Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi:
NLP Service APIs and Models for Efficient Registration of New Clients. EMNLP (Findings) 2020: 4007-4012 - [c70]Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal, Sunita Sarawagi:
Learning from Rules Generalizing Labeled Exemplars. ICLR 2020 - [c69]Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi:
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition. ICML 2020: 7728-7738 - [c68]Kartik Khandelwal, Preethi Jyothi, Abhijeet Awasthi, Sunita Sarawagi:
Black-Box Adaptation of ASR for Accented Speech. INTERSPEECH 2020: 1281-1285 - [c67]Sriram Balasubramanian, Naman Jain, Gaurav Jindal, Abhijeet Awasthi, Sunita Sarawagi:
What's in a Name? Are BERT Named Entity Representations just as Good for any other Name? RepL4NLP@ACL 2020: 205-214 - [i18]Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi:
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition. CoRR abs/2003.12815 (2020) - [i17]Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal, Sunita Sarawagi:
Learning from Rules Generalizing Labeled Exemplars. CoRR abs/2004.06025 (2020) - [i16]Kartik Khandelwal, Preethi Jyothi, Abhijeet Awasthi, Sunita Sarawagi:
Black-box Adaptation of ASR for Accented Speech. CoRR abs/2006.13519 (2020) - [i15]Sriram Balasubramanian, Naman Jain, Gaurav Jindal, Abhijeet Awasthi, Sunita Sarawagi:
What's in a Name? Are BERT Named Entity Representations just as Good for any other Name? CoRR abs/2007.06897 (2020) - [i14]Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi:
NLP Service APIs and Models for Efficient Registration of New Clients. CoRR abs/2010.01526 (2020)
2010 – 2019
- 2019
- [c66]Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti:
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings. ACL (1) 2019: 1717-1726 - [c65]Abhijeet Awasthi, Sunita Sarawagi:
Continual Learning with Neural Networks: A Review. COMAD/CODS 2019: 362-365 - [c64]Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla:
Parallel Iterative Edit Models for Local Sequence Transduction. EMNLP/IJCNLP (1) 2019: 4259-4269 - [c63]Shiv Shankar, Sunita Sarawagi:
Posterior Attention Models for Sequence to Sequence Learning. ICLR (Poster) 2019 - [c62]Prathamesh Deshpande, Sunita Sarawagi:
Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units. KDD 2019: 1560-1568 - [i13]Aviral Kumar, Sunita Sarawagi:
Calibration of Encoder Decoder Models for Neural Machine Translation. CoRR abs/1903.00802 (2019) - [i12]Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti:
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings. CoRR abs/1906.02688 (2019) - [i11]Prathamesh Deshpande, Sunita Sarawagi:
Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units. CoRR abs/1906.09926 (2019) - [i10]Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla:
Parallel Iterative Edit Models for Local Sequence Transduction. CoRR abs/1910.02893 (2019) - [i9]Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi:
Data Programming using Continuous and Quality-Guided Labeling Functions. CoRR abs/1911.09860 (2019) - 2018
- [c61]Shiv Shankar, Sunita Sarawagi:
Labeled Memory Networks for Online Model Adaptation. AAAI 2018: 4034-4041 - [c60]Shiv Shankar, Siddhant Garg, Sunita Sarawagi:
Surprisingly Easy Hard-Attention for Sequence to Sequence Learning. EMNLP 2018: 640-645 - [c59]Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi:
Generalizing Across Domains via Cross-Gradient Training. ICLR (Poster) 2018 - [c58]Aviral Kumar, Sunita Sarawagi, Ujjwal Jain:
Trainable Calibration Measures For Neural Networks From Kernel Mean Embeddings. ICML 2018: 2810-2819 - [e2]Sayan Ranu, Niloy Ganguly, Raghu Ramakrishnan, Sunita Sarawagi, Shourya Roy:
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, COMAD/CODS 2018, Goa, India, January 11-13, 2018. ACM 2018 [contents] - [r2]Sunita Sarawagi:
Column Segmentation. Encyclopedia of Database Systems (2nd ed.) 2018 - [i8]Srayanta Mukherjee, Devashish Shankar, Atin Ghosh, Nilam Tathawadekar, Pramod Kompalli, Sunita Sarawagi, Krishnendu Chaudhury:
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting. CoRR abs/1803.03800 (2018) - [i7]Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi:
Generalizing Across Domains via Cross-Gradient Training. CoRR abs/1804.10745 (2018) - 2017
- [i6]Shiv Shankar, Sunita Sarawagi:
Label Organized Memory Augmented Neural Network. CoRR abs/1707.01461 (2017) - 2016
- [c57]Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi:
Numerical Relation Extraction with Minimal Supervision. AAAI 2016: 2764-2771 - [c56]Pavel Sountsov, Sunita Sarawagi:
Length bias in Encoder Decoder Models and a Case for Global Conditioning. EMNLP 2016: 1516-1525 - [c55]Arun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi:
Privacy-preserving Class Ratio Estimation. KDD 2016: 925-934 - [c54]Alon Y. Halevy, Natalya Fridman Noy, Sunita Sarawagi, Steven Euijong Whang, Xiao Yu:
Discovering Structure in the Universe of Attribute Names. WWW 2016: 939-949 - [i5]Aman Madaan, Sunita Sarawagi:
Occurrence Statistics of Entities, Relations and Types on the Web. CoRR abs/1605.04359 (2016) - [i4]Pavel Sountsov, Sunita Sarawagi:
Length bias in Encoder Decoder Models and a Case for Global Conditioning. CoRR abs/1606.03402 (2016) - 2015
- [c53]Immanuel Trummer, Alon Y. Halevy, Hongrae Lee, Sunita Sarawagi, Rahul Gupta:
Mining Subjective Properties on the Web. SIGMOD Conference 2015: 1745-1760 - 2014
- [c52]Arun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi:
Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection. ICML 2014: 530-538 - [c51]Sunita Sarawagi, Soumen Chakrabarti:
Open-domain quantity queries on web tables: annotation, response, and consensus models. KDD 2014: 711-720 - [c50]Gaurish Chaudhari, Vashist Avadhanula, Sunita Sarawagi:
A few good predictions: selective node labeling in a social network. WSDM 2014: 353-362 - 2013
- [j29]Soumen Chakrabarti, Ganesh Ramakrishnan, Krithi Ramamritham, Sunita Sarawagi, S. Sudarshan:
Data-based research at IIT Bombay. SIGMOD Rec. 42(1): 38-43 (2013) - [j28]Wolfgang Lehner, Sunita Sarawagi:
Special issue on best papers of VLDB 2011. VLDB J. 22(1): 1-2 (2013) - 2012
- [j27]Rakesh Pimplikar, Sunita Sarawagi:
Answering Table Queries on the Web using Column Keywords. Proc. VLDB Endow. 5(10): 908-919 (2012) - [c49]Namit Katariya, Arun Shankar Iyer, Sunita Sarawagi:
Active Evaluation of Classifiers on Large Datasets. ICDM 2012: 329-338 - [i3]Rakesh Pimplikar, Sunita Sarawagi:
Answering Table Queries on the Web using Column Keywords. CoRR abs/1207.0132 (2012) - 2011
- [j26]Sunita Sarawagi:
Letter from the Research Track Co-Chair. Proc. VLDB Endow. 4(6): vi (2011) - [j25]Sunita Sarawagi:
Letter from the VLDB 2011 Research Track Co-Chair. Proc. VLDB Endow. 4(9): vi (2011) - [c48]Rahul Gupta, Sunita Sarawagi:
Joint training for open-domain extraction on the web: exploiting overlap when supervision is limited. WSDM 2011: 217-226 - 2010
- [j24]Soumen Chakrabarti, Sunita Sarawagi, S. Sudarshan:
Enhancing Search with Structure. IEEE Data Eng. Bull. 33(1): 3-24 (2010) - [j23]Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan:
Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials. J. Mach. Learn. Res. 11: 3097-3135 (2010) - [j22]Girija Limaye, Sunita Sarawagi, Soumen Chakrabarti:
Annotating and Searching Web Tables Using Entities, Types and Relationships. Proc. VLDB Endow. 3(1): 1338-1347 (2010) - [c47]Sashank Jakkam Reddi, Sunita Sarawagi, Sundar Vishwanathan:
MAP estimation in Binary MRFs via Bipartite Multi-cuts. NIPS 2010: 955-963 - [i2]Rahul Gupta, Sunita Sarawagi:
Joint Structured Models for Extraction from Overlapping Sources. CoRR abs/1005.0104 (2010)
2000 – 2009
- 2009
- [j21]Rakesh Agrawal, Anastasia Ailamaki, Philip A. Bernstein, Eric A. Brewer
, Michael J. Carey, Surajit Chaudhuri, AnHai Doan, Daniela Florescu, Michael J. Franklin, Hector Garcia-Molina, Johannes Gehrke, Le Gruenwald, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, Henry F. Korth, Donald Kossmann, Samuel Madden, Roger Magoulas, Beng Chin Ooi, Tim O'Reilly, Raghu Ramakrishnan, Sunita Sarawagi, Michael Stonebraker, Alexander S. Szalay, Gerhard Weikum:
The Claremont report on database research. Commun. ACM 52(6): 56-65 (2009) - [j20]Rahul Gupta, Sunita Sarawagi:
Answering Table Augmentation Queries from Unstructured Lists on the Web. Proc. VLDB Endow. 2(1): 289-300 (2009) - [j19]Fernando Pereira, Anand Rajaraman, Sunita Sarawagi, William Tunstall-Pedoe, Gerhard Weikum, Alon Y. Halevy:
Answering Web Questions Using Structured Data - Dream or Reality? Proc. VLDB Endow. 2(2): 1646 (2009) - [c46]Sunita Sarawagi:
Queries over Unstructured Data: Probabilistic Methods to the Rescue - (Keynote). BIRTE 2009: 1-13 - [c45]Sunita Sarawagi:
Querying for relations from the semi-structured Web. COMAD 2009 - [c44]Sunita Sarawagi, Vinay S. Deshpande, Sourabh Kasliwal:
Efficient top-k count queries over imprecise duplicates. EDBT 2009: 450-461 - [r1]Sunita Sarawagi:
Column Segmentation. Encyclopedia of Database Systems 2009: 397-400 - [i1]Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan:
Generalized Collective Inference with Symmetric Clique Potentials. CoRR abs/0907.0589 (2009) - 2008
- [j18]Sunita Sarawagi:
Information Extraction. Found. Trends Databases 1(3): 261-377 (2008) - [j17]Rakesh Agrawal, Anastasia Ailamaki, Philip A. Bernstein, Eric A. Brewer, Michael J. Carey, Surajit Chaudhuri, AnHai Doan, Daniela Florescu, Michael J. Franklin, Hector Garcia-Molina, Johannes Gehrke, Le Gruenwald, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, Henry F. Korth, Donald Kossmann, Samuel Madden, Roger Magoulas, Beng Chin Ooi, Tim O'Reilly, Raghu Ramakrishnan, Sunita Sarawagi, Michael Stonebraker, Alexander S. Szalay, Gerhard Weikum:
The Claremont report on database research. SIGMOD Rec. 37(3): 9-19 (2008) - [j16]Rahul Gupta, Sunita Sarawagi:
Domain adaptation of information extraction models. SIGMOD Rec. 37(4): 35-40 (2008) - [c43]Sunita Sarawagi, Rahul Gupta:
Accurate max-margin training for structured output spaces. ICML 2008: 888-895 - [e1]Ying Li, Bing Liu, Sunita Sarawagi:
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008. ACM 2008, ISBN 978-1-60558-193-4 [contents] - 2007
- [c42]Rahul Gupta, Ajit A. Diwan, Sunita Sarawagi:
Efficient inference with cardinality-based clique potentials. ICML 2007: 329-336 - [c41]Sandeepkumar Satpal, Sunita Sarawagi:
Domain Adaptation of Conditional Probability Models Via Feature Subsetting. PKDD 2007: 224-235 - [c40]Amol Deshpande, Sunita Sarawagi:
Probabilistic Graphical Models and their Role in Databases. VLDB 2007: 1435-1436 - 2006
- [c39]Sunita Sarawagi:
Scalable Information Extraction and Integration. COMAD 2006: 249 - [c38]Amit Chandel, P. C. Nagesh, Sunita Sarawagi:
Efficient Batch Top-k Search for Dictionary-based Entity Recognition. ICDE 2006: 28 - [c37]Imran R. Mansuri, Sunita Sarawagi:
Integrating Unstructured Data into Relational Databases. ICDE 2006: 29