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Found 7 papers, 4 papers with code
Interactive Query-Assisted Summarization via Deep Reinforcement Learning
Interactive summarization is a task that facilitates user-guided exploration of information within a document set.
Multi-Document Keyphrase Extraction: Dataset, Baselines and Review
Keyphrase extraction has been extensively researched within the single-document setting, with an abundance of methods, datasets and applications.
Extending Multi-Document Summarization Evaluation to the Interactive Setting
In this paper, we develop an end-to-end evaluation framework for interactive summarization, focusing on expansion-based interaction, which considers the accumulating information along a user session.
Evaluating Interactive Summarization: an Expansion-Based Framework
Allowing users to interact with multi-document summarizers is a promising direction towards improving and customizing summary results.
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
Conducting a manual evaluation is considered an essential part of summary evaluation methodology.
Evaluating Multiple System Summary Lengths: A Case Study
Practical summarization systems are expected to produce summaries of varying lengths, per user needs.
Interactive Abstractive Summarization for Event News Tweets
We present a novel interactive summarization system that is based on abstractive summarization, derived from a recent consolidated knowledge representation for multiple texts.
