The Effect of Anaphor and Ellipsis Resolution on Proximity Searching in a Text Database

By Ari Pirkola, Kalervo Järvelin. 1996

Subfields: Information Retrieval & Search, Information Extraction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Retrieval & Search

1. Hal Daumé Iii
2. Yang Trista Cao

In Information Extraction

1. Hal Daumé Iii
2. Yang Trista Cao

Citations in the corpus

• Toward Gender-Inclusive Coreference Resolution (2019, neutral): “For instance, information retrieval can use coreference resolution to help accurately rank documents by up-weighting the importance of entities that are referred to frequently [Du and Liddy 1990; Edens et al. 2003; Pirkola and Järvelin 1996].”
• Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle* (2021, background): “For instance, information retrieval can use coreference resolution to help accurately rank documents by up-weighting the importance of entities that are referred to frequently (Du and Liddy 1990; Pirkola and Järvelin 1996; Edens et al. 2003).”