Projekt per år
Sammanfattning
The goal of automatic text summarization is to generate an abstract of a document or a set of documents. In this paper we propose a
word association based method for generating summaries in a variety of
languages. We show that a robust statistical method for finding associations
which are specific to the given document(s) is applicable to many languages.
We introduce strategies that utilize the discovered associations
to effectively select sentences from the document(s) to constitute the summary.
Empirical results indicate that the method works
reliably in a relatively large set of languages and outperforms methods reported
in MultiLing 2013.
word association based method for generating summaries in a variety of
languages. We show that a robust statistical method for finding associations
which are specific to the given document(s) is applicable to many languages.
We introduce strategies that utilize the discovered associations
to effectively select sentences from the document(s) to constitute the summary.
Empirical results indicate that the method works
reliably in a relatively large set of languages and outperforms methods reported
in MultiLing 2013.
| Originalspråk | engelska |
|---|---|
| Titel på värdpublikation | SAC '16 Proceedings of the 31st Annual ACM Symposium on Applied Computing |
| Antal sidor | 8 |
| Utgivningsort | New York, NY |
| Förlag | ACM, Association for Computing Machinery |
| Utgivningsdatum | 2016 |
| Sidor | 853-860 |
| ISBN (tryckt) | 978-1-4503-3739-7 |
| DOI | |
| Status | Publicerad - 2016 |
| MoE-publikationstyp | A4 Artikel i en konferenspublikation |
| Evenemang | ACM Symposium on Applied Computing - Pisa, Italien Varaktighet: 4 apr. 2016 → 8 apr. 2016 Konferensnummer: 31 |
Vetenskapsgrenar
- 113 Data- och informationsvetenskap
Projekt
- 1 Slutfört
-
ConCreTe: Concept Creation Technology
Toivonen, H. T., Xiao, P., Toivanen, J., Gross, O., Linkola, S. & Kantosalo, A.
01/10/2013 → 30/09/2016
Projekt: Forskningsprojekt