Papers by Hadar Ronen

4 papers
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation (N19-1)

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Challenge: Manual evaluation methods are perceived as insufficient due to the high cost of the Pyramid method and the required expertise.
Approach: They propose a crowdsourced method that compares system summaries to references and uses crowdsourced scripts to analyze the results.
Outcome: The proposed method shows higher correlation relative to the original Pyramid method.
Extending Multi-Document Summarization Evaluation to the Interactive Setting (2021.naacl-main)

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Challenge: Existing approaches to interactive summarization are incomparable and divergent . a key gap in the development and adoption of interactive summaries is the lack of evaluation methodologies and benchmarks for meaningful comparison of systems.
Approach: They propose an end-to-end evaluation framework for interactive summarization based on expansion-based interaction . framework includes procedure of collecting real user sessions, evaluation measures relying on summarizing standards, but adapted to reflect interaction.
Outcome: The proposed evaluation framework is based on evaluations of baseline implementations and is available publicly as a benchmark.
Evaluating Multiple System Summary Lengths: A Case Study (D18-1)

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Challenge: Practical summarization systems are expected to produce summaries of varying lengths, per user needs.
Approach: They propose to use ROUGE metric to evaluate system summaries of multiple lengths.
Outcome: The evaluation protocol in question is competitive, the authors show . they found that the evaluation protocol is competitive with existing benchmarks.
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration (2021.emnlp-demo)

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Challenge: iFS provides a faceted navigation scheme that provides abstractive summaries for the user’s selections.
Approach: They propose a web application that integrates interactive summarization and faceted search to provide a faceted navigation scheme that yields abstractive summaries for the user's selections.
Outcome: The proposed system provides a comprehensive overview as well as particular details regard-ing subtopics of interest.

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