Re-Examining Summarization Evaluation across Multiple Quality Criteria
Ori Ernst, Ori Shapira, Ido Dagan, Ran Levy
The Conference of Empirical Methods in Natural Language Processing, Findings (EMNLP Findings), 2023
  Paper

OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization
Shmuel Amar*, Liat Schiff*, Ori Ernst, Asi Shefer, Ori Shapira, Ido Dagan
  *equal contribution
The Conference of Empirical Methods in Natural Language Processing (EMNLP), 2023
  Paper, Data

How “Multi” is Multi-Document Summarization?
Ruben Wolhandler*, Arie Cattan*, Ori Ernst, and Ido Dagan
  *equal contribution
The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
  Paper, Code

Controlled Text Reduction
Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, and Ido Dagan The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
  Paper, Code

Proposition-Level Clustering for Multi-Document Summarization
Ori Ernst, Avi Caciularu*, Ori Shapira*, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger and Ido Dagan
  *equal contribution
The Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022
  Paper, Code

Extending Multi-Text Sentence Fusion Resources via Pyramid Annotations
Daniela Brook Weiss, Paul Roit, Ori Ernst and Ido Dagan
The Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022
  Paper, Code

Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline
Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal and Ido Dagan
The Conference on Computational Natural Language Learning (CoNLL), 2021
  Best paper runner-up!
  Paper, Code

QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions
Daniela Brook Weiss, Paul Roit, Ayal Klein, Ori Ernst and Ido Dagan
The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
  Paper, Code

iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration
Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal and Ido Dagan
The Conference on Empirical Methods in Natural Language Processing, System demonstrations (EMNLP demo), 2021
  Paper, Code, Demo

Speech Dereverberation Using Fully Convolutional Networks
Ori Ernst, Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger
26th European Signal Processing Conference (EUSIPCO), 2018
  Paper, Demo, Matlab tutorial

Time series processing for software failure prediction in deep learning training
Lev Faivishevsky, Ori Ernst and Amitai Armon
International Conference on Machine Learning (ICML), Time Series Workshop, 2017
  Paper