Hadar Ronen — accepted AI-conference papers

2021

Extending Multi-Document Summarization Evaluation to the Interactive Setting

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

NAACL 2021long

Allowing users to interact with multi-document summarizers is a promising direction towards improving and customizing summary results. Different ideas for interactive summarization have been proposed in previous work but these solutions are highly divergent and incomparable. In this paper, we develo…

Cited by 26 Source ↗PDF ↗code ↗Scholar ↗

2021

iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration

Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst +4

EMNLP 2021system demonstrations

We introduce iFᴀᴄᴇᴛSᴜᴍ, a web application for exploring topical document collections. iFᴀᴄᴇᴛSᴜᴍ integrates interactive summarization together with faceted search, by providing a novel faceted navigation scheme that yields abstractive summaries for the user’s selections. This approach offers both a c…

Cited by 22 Source ↗PDF ↗code ↗Scholar ↗