Task Proposal

Abstractive Snippet Generation for Web Pages

verfasst von

Shahbaz Syed, Wei Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth, Martin Potthast

Abstract

We propose a shared task on abstractive snippet generation for web pages, a novel task of generating query-biased abstractive summaries for documents that are to be shown on a search results page. Conventional snippets are extractive in nature, which recently gave rise to copyright claims from news publishers as well as a new copyright legislation being passed in the European Union, limiting the fair use of web page contents for snippets. At the same time, abstractive summarization has matured considerably in recent years, potentially allowing for more personalization of snippets in the future. Taken together, these facts render further research into generating abstractive snippets both timely and promising.

Externe Organisation(en)

Universität Leipzig
Universität Paderborn
Martin-Luther-Universität Halle-Wittenberg
Bauhaus-Universität Weimar

Typ

Aufsatz in Konferenzband

Seiten

237-241

Anzahl der Seiten

5

Publikationsdatum

12.2020

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Sprache und Linguistik, Software, Linguistik und Sprache

Elektronische Version(en)

https://aclanthology.org/2020.inlg-1.30 (Zugang: Offen)