Yael Amsterdamer

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report.

Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Jinli Cao, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Stratos Idreos, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Fatma Özcan, Liat Peterfreund, Soror Sahri, Sana Sellami, Roee Shraga, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Genoveva Vargas-Solar, Meihui Zhang, Wenjie Zhang

SIGMOD Rec., June, 2024

Interactive SPARQL query formulation using provenance.

Yael Amsterdamer, Yehuda Callen

Knowl. Inf. Syst., March, 2024

Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM).

Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Renata Borovica-Gajic, Donatella Firmani

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

CleanEr: Interactive, Query-Guided Error Mitigation for Data Cleaning Systems.

Ran Schreiber, Yael Amsterdamer

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report.

Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Gillian Dobbie, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Behrooz Omidvar-Tehrani, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Shazia Sadiq, Sana Sellami, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Victor Zakhary, Meihui Zhang

SIGMOD Rec., June, 2023

Query-Guided Resolution in Uncertain Databases.

Osnat Drien, Matanya Freiman, Antoine Amarilli, Yael Amsterdamer

Proc. ACM Manag. Data, 2023

Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM).

Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Andreas Kipf

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Selecting Sub-tables for Data Exploration.

Yael Amsterdamer, Susan B. Davidson, Tova Milo, Kathy Razmadze, Amit Somech

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Diversity and Inclusion Activities in Database Conferences: A 2021 Report.

Sihem Amer-Yahia, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Philippe Bonnet, Renata Borovica-Gajic, Barbara Catania, Tania Cerquitelli, Silvia Chiusano, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Georgia Koutrika, Arun Kumar, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Felix Naumann, Nele Sina Noack, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Wang-Chiew Tan, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Meihui Zhang

SIGMOD Rec., 2022

ActivePDB: Active Probabilistic Databases.

Osnat Drien, Matanya Freiman, Yael Amsterdamer

Proc. VLDB Endow., 2022

Worst-case analysis for interactive evaluation of Boolean provenance.

Antoine Amarilli, Yael Amsterdamer

Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, 2022

SubTab: Data Exploration with Informative Sub-Tables.

Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo

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.

Rajesh Bordawekar, Yael Amsterdamer, Donatella Firmani, Ryan Marcus, Oded Shmueli

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.

Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Ido Dagan, Yael Amsterdamer

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.

Yael Amsterdamer, Yehuda Callen

Proceedings of the Database and Expert Systems Applications, 2022

Interactive Knowledge Graph Querying Through Examples and Facets.

Yael Amsterdamer, Laura Gáspár

Proceedings of the New Trends in Database and Information Systems, 2022

2021

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

Ori Shapira, Ramakanth Pasunuru, Ido Dagan, Yael Amsterdamer

CoRR, 2021

Extending Multi-Document Summarization Evaluation to the Interactive Setting.

Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan

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.

Osnat Drien, Antoine Amarilli, Yael Amsterdamer

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

SPARQLIt: Interactive SPARQL Query Refinement.

Yael Amsterdamer, Yehuda Callen

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Automated Selection of Multiple Datasets for Extension by Integration.

Yael Amsterdamer, Moran Cohen

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.

Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan

CoRR, 2020

Towards Fine-Grained Data Access Control Through Active Peer Probing.

Yael Amsterdamer, Osnat Drien

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

Diverse User Selection for Opinion Procurement.

Yael Amsterdamer, Oded Goldreich

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019

Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation.

Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan

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.

Yael Amsterdamer, Osnat Drien

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Declarative User Selection with Soft Constraints.

Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Crowd Mining and Analysis.

Yael Amsterdamer, Tova Milo

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Evaluating Multiple System Summary Lengths: A Case Study.

Ori Shapira, David Gabay, Hadar Ronen, Judit Bar-Ilan, Yael Amsterdamer, Ani Nenkova, Ido Dagan

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).

Antoine Amarilli, Yael Amsterdamer, Tova Milo, Pierre Senellart

CoRR, 2017

Top-k Querying of Unknown Values under Order Constraints.

Antoine Amarilli, Yael Amsterdamer, Tova Milo, Pierre Senellart

Proceedings of the 20th International Conference on Database Theory, 2017

Interactive Abstractive Summarization for Event News Tweets.

Ori Shapira, Hadar Ronen, Meni Adler, Yael Amsterdamer, Judit Bar-Ilan, Ido Dagan

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

PODIUM: Procuring Opinions from Diverse Users in a Multi-Dimensional World.

Yael Amsterdamer, Oded Goldreich

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Toward semantic image similarity from crowdsourced clustering.

Yanir Kleiman, George Goldberg, Yael Amsterdamer, Daniel Cohen-Or

Vis. Comput., 2016

December: A Declarative Tool for Crowd Member Selection.

Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann

Proc. VLDB Endow., 2016

2015

A Natural Language Interface for Querying General and Individual Knowledge.

Yael Amsterdamer, Anna Kukliansky, Tova Milo

Proc. VLDB Endow., 2015

Optimal Probabilistic Generation of XML Documents.

Serge Abiteboul, Yael Amsterdamer, Daniel Deutch, Tova Milo, Pierre Senellart

Theory Comput. Syst., 2015

NL₂CM: A Natural Language Interface to Crowd Mining.

Yael Amsterdamer, Anna Kukliansky, Tova Milo

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.

Yael Amsterdamer, Susan B. Davidson, Anna Kukliansky, Tova Milo, Slava Novgorodov, Amit Somech

Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

2014

Foundations of Crowd Data Sourcing.

Yael Amsterdamer, Tova Milo

SIGMOD Rec., 2014

Ontology Assisted Crowd Mining.

Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov, Amit Somech

Proc. VLDB Endow., 2014

OASSIS: query driven crowd mining.

Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov, Amit Somech

Proceedings of the International Conference on Management of Data, 2014

On the Complexity of Mining Itemsets from the Crowd Using Taxonomies.

Antoine Amarilli, Yael Amsterdamer, Tova Milo

Proceedings of the Proc. 17th International Conference on Database Theory (ICDT), 2014

Uncertainty in Crowd Data Sourcing Under Structural Constraints.

Antoine Amarilli, Yael Amsterdamer, Tova Milo

Proceedings of the Database Systems for Advanced Applications, 2014

2013

CrowdMiner: Mining association rules from the crowd.

Yael Amsterdamer, Yael Grossman, Tova Milo, Pierre Senellart

Proc. VLDB Endow., 2013

Crowd mining.

Yael Amsterdamer, Yael Grossman, Tova Milo, Pierre Senellart

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

2012

On Provenance Minimization.

Yael Amsterdamer, Daniel Deutch, Tova Milo, Val Tannen

ACM Trans. Database Syst., 2012

Auto-completion learning for XML.

Serge Abiteboul, Yael Amsterdamer, Tova Milo, Pierre Senellart

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Finding optimal probabilistic generators for XML collections.

Serge Abiteboul, Yael Amsterdamer, Daniel Deutch, Tova Milo, Pierre Senellart

Proceedings of the 15th International Conference on Database Theory, 2012

2011

Putting Lipstick on Pig: Enabling Database-style Workflow Provenance.

Yael Amsterdamer, Susan B. Davidson, Daniel Deutch, Tova Milo, Julia Stoyanovich, Val Tannen

Proc. VLDB Endow., 2011

On the optimality of top-k algorithms for Interactive Web Applications.

Yael Amsterdamer, Daniel Deutch, Tova Milo

Proceedings of the 14th International Workshop on the Web and Databases 2011, 2011

On the Limitations of Provenance for Queries with Difference.

Yael Amsterdamer, Daniel Deutch, Val Tannen

Proceedings of the 3rd Workshop on the Theory and Practice of Provenance, 2011

Provenance for aggregate queries.

Yael Amsterdamer, Daniel Deutch, Val Tannen

Proceedings of the 30th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2011