Falke, Tobias ; Gurevych, Iryna (2017)
Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps.
Copenhagen, Denmark
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Concept maps can be used to concisely represent important information and bring structure into large document collections. Therefore, we study a variant of multi-document summarization that produces summaries in the form of concept maps. However, suitable evaluation datasets for this task are currently missing. To close this gap, we present a newly created corpus of concept maps that summarize heterogeneous collections of web documents on educational topics. It was created using a novel crowdsourcing approach that allows us to efficiently determine important elements in large document collections. We release the corpus along with a baseline system and proposed evaluation protocol to enable further research on this variant of summarization.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2017 |
| Autor(en): | Falke, Tobias ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps |
| Sprache: | Englisch |
| Publikationsjahr: | September 2017 |
| Buchtitel: | Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP) |
| Veranstaltungsort: | Copenhagen, Denmark |
| URL / URN: | http://aclweb.org/anthology/D17-1320 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Concept maps can be used to concisely represent important information and bring structure into large document collections. Therefore, we study a variant of multi-document summarization that produces summaries in the form of concept maps. However, suitable evaluation datasets for this task are currently missing. To close this gap, we present a newly created corpus of concept maps that summarize heterogeneous collections of web documents on educational topics. It was created using a novel crowdsourcing approach that allows us to efficiently determine important elements in large document collections. We release the corpus along with a baseline system and proposed evaluation protocol to enable further research on this variant of summarization. |
| Freie Schlagworte: | UKP_reviewed;AIPHES_corpus;AIPHES_area_b1 |
| ID-Nummer: | TUD-CS-2017-0153 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen |
| Hinterlegungsdatum: | 04 Jul 2017 14:17 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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| Zugehörige Links: | |
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| Suche nach Titel in: | TUfind oder in Google |
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