Anaphora in natural language processing and information retrieval
By Elizabeth Du, Ross Liddy. 1990
Subfields: Natural Language Processing, 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 Natural Language Processing
- Yang Trista Cao
- Hal Daumé Iii
- Ari Pirkola
- Peter Ingwersen
- Kalervo Järvelin
- Yoav Goldberg
- Daniel Klein
- Mohit Bansal
In Information Extraction
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].”
- The Effect of Anaphor and Ellipsis Resolution on Proximity Searching in a Text Database (1996, background): “…although anaphor resolution did not have a positive effect on document ranking in statistical IR for scientific abstracts (Bonzi & Liddy, 1989; Liddy, 1990), it seems to have, like ellipsis resolution, a positive effect on recall in full text proximity searching on proper name phrases, at…”
- The Turn - Integration of Information Seeking and Retrieval in Context (2005, background): “modeling and empirical experiments. Lancaster and colleagues (1996) proposed a methodology for the evaluation of interactive knowledge-based systems.”
- 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).”