Cross-document cross-lingual coreference retrieval

ABSTRACT

In this work, we address coreference retrieval, which involves identifying aliases that are distinct references to an entity. We begin with a known alias and discover unknown aliases that refer to the same entity. We use Entity Language Models to capture the contextual language around the known alias, which aids in finding new aliases. We also show that modeling the significant dates of the known aliases improves alias discovery performance.

REFERENCES

• 1: H. Raghavan, J. Allan, and A. McCallum. An exploration of entity models, collective classification and relation description. In Proceedings of the Second International Workshop on Link Analysis and Group, pages 1--10, 2004.
• 2: C. Gooi and J. Allan. Cross-document coreference on a large scale corpus. In Proceedings of HLT 2004 conference, pages 9--16, 2004.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Retrieval models

General Terms:
Algorithms, Experimentation, Languages

Keywords:
coreference analysis, information extraction, information retrieval