Jump to : Download | Abstract | Contact | BibTex reference | EndNote reference |

zhang2015cross

Tongtao Zhang, Hongzhi Li, Heng Ji, Shih-Fu Chang. Cross-document Event Coreference Resolution based on Cross-media Features. In Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP2015), 2015.

Download [help]

Download paper: Adobe portable document (pdf)

Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract

In this paper we focus on a new problem of event coreference resolution across television news videos. Based on the observation that the contents from multiple data modalities are complementary, we develop a novel approach to jointly encode effective features from both closed captions and video key frames. Experiment results demonstrate that visual features provided 7.2% absolute F-score gain on stateof-the-art text based event extraction and coreference resolution

Contact

Hongzhi Li
Shih-Fu Chang

BibTex Reference

@InProceedings{zhang2015cross,
   Author = {Zhang, Tongtao and Li, Hongzhi and Ji, Heng and Chang, Shih-Fu},
   Title = {Cross-document Event Coreference Resolution based on Cross-media Features},
   BookTitle = {Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP2015)},
   Year = {2015}
}

EndNote Reference [help]

Get EndNote Reference (.ref)

 
bar

For problems or questions regarding this web site contact The Web Master.

This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).