Effective retrieval of structured documents
By R. Wilkinson. 1994
Subfields: Information Retrieval & Search
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
- Jimmy J. Lin
- Rodrigo Nogueira
- Andrew Yates
- Jamie Callan
- Zeynep Akkalyoncu Yilmaz
- Zhuyun Dai
- Chenyan Xiong
- Sebastian Hofstätter
Citations in the corpus
- Pretrained Transformers for Text Ranking: BERT and Beyond (2020, methodology): “he information retrieval literature. There is a long thread of work, dating back to the 1990s, that leverages passage retrieval techniques for document ranking [Hearst and Plaunt, 1993, Callan, 1994, Wilkinson, 1994, Kaszkiel and Zobel, 1997, Clarke et al., 2000]—that is, aggregating passage-level e”
- Is searching full text more effective than searching abstracts? (2009, background): “The problem of retrieving sub-document segments of text has previously been explored in the information retrieval literature [15-24]; the task is often called passage retrieval.”
- Passage-level evidence in document retrieval (1994, background): “Others have found that adding the scores of several passages is effective [9; 17], but that was not the case in our experiments.”
- Information Retrieval Evaluation (2011, background): “For example groups have studied the effects of hyphenation and effective retrieval of long structured Federal Register (FR) documents [199].”
- Relevance ranking for one to three term queries (1997, background): “…& Zobel, 1997; Knaus, Mittendorf, SchaÈ uble, & Sheridan, 1995), most passage retrieval methods divide a document into passages at the time it is added to the database (Allan, 1995; Callan, 1994; Hearst & Plaunt, 1993; Salton, Allan, & Buckley, 1993; Wilkinson, 1994; Wilkinson & Zobel, 1994; ).”