An Association Thesaurus for Information Retrieval
By W. Bruce Croft, Jing Yufeng. 1994
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Hamed Zamani
- Ido Dagan
- Chengxiang Zhai
- Jian-Yun Nie
- Lili Kotlerman
- W. Bruce Croft
- Ji-rong Wen
- Idan Szpektor
Citations in the corpus
- Inferring query models by computing information flow (2002, background): “Global collection expansion techniques involve analyzing a collection of documents and computing term associations within the collection, for example, on the basis of term cooccurrence [1, 7, 9, 15].”
- Tapping into knowledge base for concept feedback: leveraging conceptnet to improve search results for difficult queries (2012, background): “Early global expansion techniques [15] [33] [30] aim to determine the strength of semantic relatedness between the terms based on the term co-occurrence statistics obtained through the analysis of the entire document collection and use the terms that are strongly associated with the initial query te”
- Improving the effectiveness of information retrieval with local context analysis (2000, methodology): “1990], similarity thesauri [Qiu and Frei 1993], and Phrasefinder [Jing and Croft 1994].”
- Ad hoc classification of radiology reports. (1999, methodology): “Noun phrase concepts are used as the seed for finding the most relevant documents, because they play a leading role in characterizing the content of a text.(24)”
- Estimation of statistical translation models based on mutual information for ad hoc information retrieval (2010, background): “Many studies have tried to bridge the vocabulary gap between documents and queries both based on co-occurrence thesaurus [1, 9, 14, 21, 24, 31, 32, 38] and hand-crafted thesaurus [15, 35].”
- Semantic term matching in axiomatic approaches to information retrieval (2006, background): “Many studies have tried to bridge the vocabulary gap between documents and queries in traditional retrieval models, mostly based on either co-occurrence-based thesaurus [11, 24, 18, 20, 10, 29, 23, 2] or hand-crafted thesaurus [26, 12].”
- Query Expansion by Mining User Logs (2003, background): “PhraseFinder [19] is a component of the INQUERY system that creates an association thesaurus.”
- Directional distributional similarity for lexical inference (2010, methodology): “Typically, symmetric distributional similarity measures have been utilized in these applications to identify inferential relations (Jing and Croft 1994; Xu and Croft 1996; Mandala, Tokunaga and Tanaka 1999; Zazo et al. 2005).”
- Probabilistic query expansion using query logs (2002, methodology): “Other well-known global techniques include Latent Semantic Indexing [4], similarity thesauri [11], and PhraseFinder [8].”