Prati
Yael Amsterdamer
Yael Amsterdamer
Professor, the Department of Computer Science, Bar-Ilan University
Potvrđena adresa e-pošte na biu.ac.il - Početna stranica
Naslov
Citirano
Citirano
Godina
Provenance for aggregate queries
Y Amsterdamer, D Deutch, V Tannen
Proceedings of the thirtieth ACM SIGMOD-SIGACT-SIGART symposium on …, 2011
2042011
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance
Y Amsterdamer, SB Davidson, D Deutch, T Milo, J Stoyanovich, V Tannen
Proceedings of the VLDB Endowment 5 (4), 346-357, 2011
1952011
Crowd mining
Y Amsterdamer, Y Grossman, T Milo, P Senellart
Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013
1102013
On the limitations of provenance for queries with difference
Y Amsterdamer, D Deutch, V Tannen
3rd USENIX Workshop on the Theory and Practice of Provenance (TaPP 11), 2011
522011
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
O Shapira, D Gabay, Y Gao, H Ronen, R Pasunuru, M Bansal, ...
arXiv preprint arXiv:1904.05929, 2019
492019
OASSIS: query driven crowd mining
Y Amsterdamer, SB Davidson, T Milo, S Novgorodov, A Somech
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
432014
On provenance minimization
Y Amsterdamer, D Deutch, T Milo, V Tannen
ACM Transactions on Database Systems (TODS) 37 (4), 1-36, 2012
412012
On provenance minimization
Y Amsterdamer, D Deutch, T Milo, V Tannen
The 2011 ACM SIGMOD/PODS Conference, 12, 2011
412011
CrowdMiner: Mining association rules from the crowd
Y Amsterdamer, Y Grossman, T Milo, P Senellart
Proceedings of the VLDB Endowment 6 (12), 1250-1253, 2013
332013
Interactive Abstractive Summarization for Event News Tweets
O Shapira, H Ronen, M Adler, Y Amsterdamer, J Bar-Ilan, I Dagan
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
262017
On the Complexity of Mining Itemsets from the Crowd Using Taxonomies
A Amarilli, Y Amsterdamer, T Milo
ICDT, 15-25, 2014
252014
A Natural Language Interface for Querying General and Individual Knowledge
Y Amsterdamer, A Kukliansky, T Milo
Proceedings of the VLDB Endowment 8 (12), 1430-1441, 2015
232015
Foundations of Crowd Data Sourcing
Y Amsterdamer, T Milo
ACM SIGMOD Record 43 (4), 5-14, 2014
222014
Uncertainty in crowd data sourcing under structural constraints
A Amarilli, Y Amsterdamer, T Milo
International Conference on Database Systems for Advanced Applications, 351-359, 2014
212014
Extending Multi-Document Summarization Evaluation to the Interactive Setting
O Shapira, R Pasunuru, H Ronen, M Bansal, Y Amsterdamer, I Dagan
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
19*2021
NL2CM: A Natural Language Interface to Crowd Mining
Y Amsterdamer, A Kukliansky, T Milo
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
162015
Managing General and Individual Knowledge in Crowd Mining Applications.
Y Amsterdamer, SB Davidson, A Kukliansky, T Milo, S Novgorodov, ...
CIDR, 2015
162015
Auto-completion learning for XML
S Abiteboul, Y Amsterdamer, T Milo, P Senellart
Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012
152012
Finding optimal probabilistic generators for XML collections
S Abiteboul, Y Amsterdamer, D Deutch, T Milo, P Senellart
Proceedings of the 15th International Conference on Database Theory, 127-139, 2012
14*2012
Toward semantic image similarity from crowdsourced clustering
Y Kleiman, G Goldberg, Y Amsterdamer, D Cohen-Or
The Visual Computer 32 (6), 1045-1055, 2016
122016
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