Projects per year
Abstract
Clustering news across languages enables efficient media monitoring by aggregating articles from multilingual sources into coherent stories. Doing so in an online setting allows scalable processing of massive news streams. To this end, we describe a novel method for clustering an incoming stream of multilingual documents into monolingual and crosslingual story clusters. Unlike typical clustering approaches that consider a small and known number of labels, we tackle the problem of discovering an ever growing number of cluster labels in an online fashion, using real news datasets in multiple languages. Our method is simple to implement, computationally efficient and produces state-of-the-art results on datasets in German, English and Spanish.
Original language | English |
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Title of host publication | 2018 Conference on Empirical Methods in Natural Language Processing |
Place of Publication | Brussels, Belgium |
Publisher | Association for Computational Linguistics |
Pages | 4535-4544 |
Number of pages | 10 |
Publication status | Published - Nov 2018 |
Event | 2018 Conference on Empirical Methods in Natural Language Processing - Square Meeting Center, Brussels, Belgium Duration: 31 Oct 2018 → 4 Nov 2018 http://emnlp2018.org/ |
Conference
Conference | 2018 Conference on Empirical Methods in Natural Language Processing |
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Abbreviated title | EMNLP 2018 |
Country/Territory | Belgium |
City | Brussels |
Period | 31/10/18 → 4/11/18 |
Internet address |
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Dive into the research topics of 'Multilingual Clustering of Streaming News'. Together they form a unique fingerprint.Projects
- 1 Finished
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SUMMA - Scalable Understanding of Mulitingual Media
Renals, S. (Principal Investigator), Birch-Mayne, A. (Co-investigator) & Cohen, S. (Co-investigator)
1/02/16 → 31/01/19
Project: Research