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Yael Amsterdamer

2 accepted papers

2022

Interactive Query-Assisted Summarization via Deep Reinforcement Learning

NAACL 2022long

Interactive summarization is a task that facilitates user-guided exploration of information within a document set. While one would like to employ state of the art neural models to improve the quality of interactive summarization, many such technologies cannot ingest the full document set or cannot o…

2021

Extending Multi-Document Summarization Evaluation to the Interactive Setting

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…