ASET: Ad-hoc Structured Exploration of Text Collections [Extended Abstract]

• URL: http://arxiv.org/abs/2203.04663v1
• Date: Wed, 9 Mar 2022 12:02:17 GMT
• Title: ASET: Ad-hoc Structured Exploration of Text Collections [Extended Abstract]
• Authors: Benjamin H\"attasch, Jan-Micha Bodensohn, Carsten Binnig
• Abstract summary: ASET allows users to perform structured explorations of text collections in an ad-hoc manner. We show that ASET is able to extract structured data from real-world text collections in high quality without the need to design extraction pipelines upfront.
• Score: 12.061875724791648
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In this paper, we propose a new system called ASET that allows users to perform structured explorations of text collections in an ad-hoc manner. The main idea of ASET is to use a new two-phase approach that first extracts a superset of information nuggets from the texts using existing extractors such as named entity recognizers and then matches the extractions to a structured table definition as requested by the user based on embeddings. In our evaluation, we show that ASET is thus able to extract structured data from real-world text collections in high quality without the need to design extraction pipelines upfront.

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