Nov 10, 2021 · This data is utilized to train a supervised alignment baseline model. (§5), which outperforms traditional unsupervised alignment approaches.1.

Sep 1, 2020 · In this paper, we propose establishing summary-source alignment as an explicit task, while introducing two major novelties.

Utilizing these data, we present a supervised proposition alignment baseline model, showing improved alignment- quality over the unsupervised approach. 1 ...

The experimental results on the manually annotated test set show that our model can effectively identify the consistency between the summaries and the source ...

Jun 2, 2024 · Aligning all the information segments between a reference summary and its paired document set reveals the underlying sub-tasks constructing the ...

Data, Code and Model for the paper "Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline".

This paper proposes extending the summary-source alignment framework by applying it at the more fine-grained proposition span level, annotating alignment ...

Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline · 1 code implementation • CoNLL (EMNLP) 2021 • Ori Ernst, Ori Shapira ...

Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline. O Ernst, O Shapira, R Pasunuru, M Lepioshkin, J Goldberger, M Bansal ...

Sep 12, 2024 · In this paper, we propose extending the summary-source alignment framework by (1) applying it at the more fine-grained proposition span level, ( ...