A Consolidated Open Knowledge Representation for Multiple Texts. - Rachel Wities; Vered Shwartz; Gabriel Stanovsky; Meni Adler; Ori Shapira; Shyam Upadhyay; Dan Roth 001; Eugenio Martínez-Cámara; Iryna Gurevych; Ido Dagan (LSDSem@EACL, 2017)

Interactive Abstractive Summarization for Event News Tweets. - Ori Shapira; Hadar Ronen; Meni Adler; Yael Amsterdamer; Judit Bar-Ilan; Ido Dagan (EMNLP (System Demonstrations), 2017)

Evaluating Multiple System Summary Lengths: A Case Study. - Ori Shapira; David Gabay; Hadar Ronen; Judit Bar-Ilan; Yael Amsterdamer; Ani Nenkova; Ido Dagan (EMNLP, 2018)

Better Rewards Yield Better Summaries: Learning to Summarise Without References. - Florian Böhm; Yang Gao 021; Christian M. Meyer; Ori Shapira; Ido Dagan; Iryna Gurevych (EMNLP/IJCNLP (1), 2019)

Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. - Ori Shapira; David Gabay; Yang Gao 021; Hadar Ronen; Ramakanth Pasunuru; Mohit Bansal; Yael Amsterdamer; Ido Dagan (NAACL-HLT (1), 2019)

Massive Multi-Document Summarization of Product Reviews with Weak Supervision. - Ori Shapira; Ran Levy 001 (CoRR, 2020)

SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks. - Ori Ernst; Ori Shapira; Ramakanth Pasunuru; Michael Lepioshkin; Jacob Goldberger; Mohit Bansal; Ido Dagan (CoRR, 2020)

Evaluating Interactive Summarization: an Expansion-Based Framework. - Ori Shapira; Ramakanth Pasunuru; Hadar Ronen; Mohit Bansal; Yael Amsterdamer; Ido Dagan (CoRR, 2020)

Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline. - Ori Ernst; Ori Shapira; Ramakanth Pasunuru; Michael Lepioshkin; Jacob Goldberger; Mohit Bansal; Ido Dagan (CoNLL, 2021)

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; Ido Dagan (EMNLP (Demos), 2021)

Extending Multi-Document Summarization Evaluation to the Interactive Setting. - Ori Shapira; Ramakanth Pasunuru; Hadar Ronen; Mohit Bansal; Yael Amsterdamer; Ido Dagan (NAACL-HLT, 2021)

Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset. - Ori Shapira; Ramakanth Pasunuru; Ido Dagan; Yael Amsterdamer (CoRR, 2021)

A Proposition-Level Clustering Approach for Multi-Document Summarization. - Ori Ernst; Avi Caciularu; Ori Shapira; Ramakanth Pasunuru; Mohit Bansal; Jacob Goldberger; Ido Dagan (CoRR, 2021)

McPhraSy: Multi-Context Phrase Similarity and Clustering. - Amir David Nissan Cohen; Hila Gonen; Ori Shapira; Ran Levy 001; Yoav Goldberg (EMNLP (Findings), 2022)

Proposition-Level Clustering for Multi-Document Summarization. - Ori Ernst; Avi Caciularu; Ori Shapira; Ramakanth Pasunuru; Mohit Bansal; Jacob Goldberger; Ido Dagan (NAACL-HLT, 2022)

Interactive Query-Assisted Summarization via Deep Reinforcement Learning. - Ori Shapira; Ramakanth Pasunuru; Mohit Bansal; Ido Dagan; Yael Amsterdamer (NAACL-HLT, 2022)

OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization. - Shmuel Amar; Liat Schiff; Ori Ernst; Asi Shefer; Ori Shapira; Ido Dagan (EMNLP, 2023)

Re-Examining Summarization Evaluation across Multiple Quality Criteria. - Ori Ernst; Ori Shapira; Ido Dagan; Ran Levy 001 (EMNLP (Findings), 2023)

Multi Document Summarization Evaluation in the Presence of Damaging Content. - Avshalom Manevich; David Carmel; Nachshon Cohen; Elad Kravi; Ori Shapira (EMNLP (Findings), 2023)

SummHelper: Collaborative Human-Computer Summarization. - Aviv Slobodkin; Niv Nachum; Shmuel Amar; Ori Shapira; Ido Dagan (EMNLP (Demos), 2023)

The Power of Summary-Source Alignments. - Ori Ernst; Ori Shapira; Aviv Slobodkin; Sharon Adar; Mohit Bansal; Jacob Goldberger; Ran Levy 001; Ido Dagan (ACL (Findings), 2024)

Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs. - Shadi Iskander; Sofia Tolmach; Ori Shapira; Nachshon Cohen; Zohar Karnin (EMNLP, 2024)

Multi-Review Fusion-in-Context. - Aviv Slobodkin; Ori Shapira; Ran Levy 001; Ido Dagan (NAACL-HLT (Findings), 2024)

SEAM: A Stochastic Benchmark for Multi-Document Tasks. - Gili Lior; Avi Caciularu; Arie Cattan; Shahar Levy; Ori Shapira; Gabriel Stanovsky (CoRR, 2024)

Measuring the Effect of Transcription Noise on Downstream Language Understanding Tasks. - Ori Shapira; Shlomo E. Chazan; Amir David Nissan Cohen (ACL (1), 2025)

Information Types in Product Reviews. - Ori Shapira; Yuval Pinter (CoRR, 2025)

A Unifying Scheme for Extractive Content Selection Tasks. - Shmuel Amar; Ori Shapira; Aviv Slobodkin; Ido Dagan (CoRR, 2025)