Yael Amsterdamer

Orcid: 0000-0001-8032-9962

Affiliations:
  • Bar Ilan University, Ramat Gan, Israel
  • Tel Aviv University, Israel (former)


According to our database1, Yael Amsterdamer authored at least 53 papers between 2011 and 2024.

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Bibliography

2024
Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report.
SIGMOD Rec., June, 2024

Interactive SPARQL query formulation using provenance.
Knowl. Inf. Syst., March, 2024

Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM).
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

CleanEr: Interactive, Query-Guided Error Mitigation for Data Cleaning Systems.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report.
SIGMOD Rec., June, 2023

Query-Guided Resolution in Uncertain Databases.
Proc. ACM Manag. Data, 2023

Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM).
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Selecting Sub-tables for Data Exploration.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Diversity and Inclusion Activities in Database Conferences: A 2021 Report.
SIGMOD Rec., 2022

ActivePDB: Active Probabilistic Databases.
Proc. VLDB Endow., 2022

Worst-case analysis for interactive evaluation of Boolean provenance.
Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, 2022

SubTab: Data Exploration with Informative Sub-Tables.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

aiDM'22: Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Interactive Query-Assisted Summarization via Deep Reinforcement Learning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Provenance-Based SPARQL Query Formulation.
Proceedings of the Database and Expert Systems Applications, 2022

Interactive Knowledge Graph Querying Through Examples and Facets.
Proceedings of the New Trends in Database and Information Systems, 2022

2021
Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset.
CoRR, 2021

Extending Multi-Document Summarization Evaluation to the Interactive Setting.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Managing Consent for Data Access in Shared Databases.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

SPARQLIt: Interactive SPARQL Query Refinement.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Automated Selection of Multiple Datasets for Extension by Integration.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Evaluating Interactive Summarization: an Expansion-Based Framework.
CoRR, 2020

Towards Fine-Grained Data Access Control Through Active Peer Probing.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

Diverse User Selection for Opinion Procurement.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

PePPer: Fine-Grained Personal Access Control via Peer Probing.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Declarative User Selection with Soft Constraints.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Crowd Mining and Analysis.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Evaluating Multiple System Summary Lengths: A Case Study.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Top-k Querying of Unknown Values under Order Constraints (Extended Version).
CoRR, 2017

Top-k Querying of Unknown Values under Order Constraints.
Proceedings of the 20th International Conference on Database Theory, 2017

Interactive Abstractive Summarization for Event News Tweets.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

PODIUM: Procuring Opinions from Diverse Users in a Multi-Dimensional World.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Toward semantic image similarity from crowdsourced clustering.
Vis. Comput., 2016

December: A Declarative Tool for Crowd Member Selection.
Proc. VLDB Endow., 2016

2015
A Natural Language Interface for Querying General and Individual Knowledge.
Proc. VLDB Endow., 2015

Optimal Probabilistic Generation of XML Documents.
Theory Comput. Syst., 2015

NL<sub>2</sub>CM: A Natural Language Interface to Crowd Mining.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Managing General and Individual Knowledge in Crowd Mining Applications.
Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

2014
Foundations of Crowd Data Sourcing.
SIGMOD Rec., 2014

Ontology Assisted Crowd Mining.
Proc. VLDB Endow., 2014

OASSIS: query driven crowd mining.
Proceedings of the International Conference on Management of Data, 2014

On the Complexity of Mining Itemsets from the Crowd Using Taxonomies.
Proceedings of the Proc. 17th International Conference on Database Theory (ICDT), 2014

Uncertainty in Crowd Data Sourcing Under Structural Constraints.
Proceedings of the Database Systems for Advanced Applications, 2014

2013
CrowdMiner: Mining association rules from the crowd.
Proc. VLDB Endow., 2013

Crowd mining.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

2012
On Provenance Minimization.
ACM Trans. Database Syst., 2012

Auto-completion learning for XML.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Finding optimal probabilistic generators for XML collections.
Proceedings of the 15th International Conference on Database Theory, 2012

2011
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance.
Proc. VLDB Endow., 2011

On the optimality of top-k algorithms for Interactive Web Applications.
Proceedings of the 14th International Workshop on the Web and Databases 2011, 2011

On the Limitations of Provenance for Queries with Difference.
Proceedings of the 3rd Workshop on the Theory and Practice of Provenance, 2011

Provenance for aggregate queries.
Proceedings of the 30th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2011


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