Task Proposal
Abstractive Snippet Generation for Web Pages
- authored by
- 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.
- External Organisation(s)
-
Leipzig University
Paderborn University
Martin Luther University Halle-Wittenberg
Bauhaus-Universität Weimar
- Type
- Conference contribution
- Pages
- 237-241
- No. of pages
- 5
- Publication date
- 12.2020
- Publication status
- Published
- Peer reviewed
- Yes
- ASJC Scopus subject areas
- Language and Linguistics, Software, Linguistics and Language
- Electronic version(s)
-
https://aclanthology.org/2020.inlg-1.30 (Access:
Open)
