Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding

Author:

Yoon Susik1ORCID,Lee Dongha2ORCID,Zhang Yunyi1ORCID,Han Jiawei1ORCID

Affiliation:

1. UIUC, Champaign, IL, USA

2. Yonsei University, Seoul, South Korea

Funder

National Science Foundation

Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE)

Molecule Maker Lab Institute: An AI Research Institutes program

US DARPA KAIROS Program

National Research Foundation of Korea (NRF)

US DARPA INCAS Program

Publisher

ACM

Reference52 articles.

1. An information-theoretic perspective of tf–idf measures

2. James Allan Jaime G Carbonell George Doddington Jonathan Yamron and Yiming Yang. 1998. Topic Detection and Tracking Pilot Study Final Report. James Allan Jaime G Carbonell George Doddington Jonathan Yamron and Yiming Yang. 1998. Topic Detection and Tracking Pilot Study Final Report.

3. A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs

4. Amit Bagga and Breck Baldwin . 1998 . Entity-based Cross-document Coreferencing using the Vector Space Model . In Proceedings of the Annual Meeting of the Association for Computational Linguistics and International Conference on Computational Linguistics. Amit Bagga and Breck Baldwin. 1998. Entity-based Cross-document Coreferencing using the Vector Space Model. In Proceedings of the Annual Meeting of the Association for Computational Linguistics and International Conference on Computational Linguistics.

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