Ori Shapira

According to our database, Ori Shapira authored at least 24 papers between 2017 and 2024.

Collaborative distances:

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

2024

SEAM: A Stochastic Benchmark for Multi-Document Tasks.

Gili Lior, Avi Caciularu, Arie Cattan, Shahar Levy, Ori Shapira, Gabriel Stanovsky

CoRR, 2024

Multi-Review Fusion-in-Context.

Aviv Slobodkin, Ori Shapira, Ran Levy, Ido Dagan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs.

Shadi Iskander, Sofia Tolmach, Ori Shapira, Nachshon Cohen, Zohar Karnin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Power of Summary-Source Alignments.

Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

SummHelper: Collaborative Human-Computer Summarization.

Aviv Slobodkin, Niv Nachum, Shmuel Amar, Ori Shapira, Ido Dagan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multi Document Summarization Evaluation in the Presence of Damaging Content.

Avshalom Manevich, David Carmel, Nachshon Cohen, Elad Kravi, Ori Shapira

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Re-Examining Summarization Evaluation across Multiple Quality Criteria.

Ori Ernst, Ori Shapira, Ido Dagan, Ran Levy

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization.

Shmuel Amar, Liat Schiff, Ori Ernst, Asi Shefer, Ori Shapira, Ido Dagan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proposition-Level Clustering for Multi-Document Summarization.

Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

McPhraSy: Multi-Context Phrase Similarity and Clustering.

Amir David Nissan Cohen, Hila Gonen, Ori Shapira, Ran Levy, Yoav Goldberg

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

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

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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline.

Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2020

Evaluating Interactive Summarization: an Expansion-Based Framework.

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

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

Massive Multi-Document Summarization of Product Reviews with Weak Supervision.

Ori Shapira, Ran Levy

CoRR, 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

Better Rewards Yield Better Summaries: Learning to Summarise Without References.

Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

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

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

A Consolidated Open Knowledge Representation for Multiple Texts.

Rachel Wities, Vered Shwartz, Gabriel Stanovsky, Meni Adler, Ori Shapira, Shyam Upadhyay, Dan Roth, Eugenio Martínez-Cámara, Iryna Gurevych, Ido Dagan

Proceedings of the 2nd Workshop on Linking Models of Lexical, 2017