Summarizing entities using distantly supervised information extractors

Travis Wolfe, Annabelle Carrell, Mark Dredze, Durme Benjamin Van

Research output: Contribution to journalConference articlepeer-review

Abstract

We describe entity summarization, the task of producing informative text summaries for an entity described across multiple documents in a collection. Existing (multi-)document summarization techniques are applied as baselines to this task, which we generalize to allow for joint information extraction and summarization. Through user evaluations across a variety of approaches, we discover what is most preferred in an entity summary. In particular we find that distantly supervised information extractors lead to significant improvements over lexical approaches, demonstrating the utility of extraction technologies for a task other than knowledge base population.

ASJC Scopus subject areas

  • General Computer Science

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