The geometry of information retrieval

By C. J. Rijsbergen. 2004

534 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/99614334a3e9b809e43384777409af7eccde3db6

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In Artificial Intelligence

In Atomic and Molecular Physics, and Optics

In Computational Theory and Mathematics

Citations in the corpus

A quantum theoretical explanation for probability judgment errors. (2011, background): “…exploring its use to explain human cognition, including perception (Atmanspacher, Filk, & Romer, 2004), conceptual structure (Aerts & Gabora, 2005), information retrieval (van Rijsbergen, 2004), decision making (Franco, 2009; Pothos & Busemeyer, 2009), and other human judgments (Khrennikov, 2010).”
Machine Learning with Oversampling and Undersampling Techniques: Overview Study and Experimental Results (2020, background): “Thus, in such situation, although a good accuracy can be gained, however, we don’t gain good enough scores in other evaluation metrics, such as precision, recall, F1-score [4] and ROC score.”
Combining Symbolic and Distributional Models of Meaning (2007, background): “(van Rijsbergen 2004) has proposed a quantum mechanical theory for modelling relevance in IR.”
Introduction to the special issue on quantum cognition (2009, unknown): “Shortly afterwards, there appeared some more detailed efforts (Atmanspacher, Spilk, & Romer, 2004; Bruza & Cole, 2005; Busemeyer, Wang, & Townsend, 2006; Gabora & Aerts, 2002; Ivancevic, & Aidman, 2007; van Rijsbergen, 2004; Widdows, 2003).”
Compositional Operators in Distributional Semantics (2014, background): “…side-effect: quantum logic has no way to represent material implication, which in the context of a propositional logic is given by the following rule: P → Q⇔ ¬P ∨Q (36) An excellent introduction to quantum logic, specifically oriented to information retrieval, can be found in van Rijsbergen (2004).”
Context-aware citation recommendation (2010, methodology): “Note that van Rijsbergen [20] proposed using Gleason’s Theorem as a model for information retrieval, and this was also extensively studied by Melucci [17].”
Distributional Memory: A General Framework for Corpus-Based Semantics (2010, unknown): “…research areas such as neural systems (Smolensky 1990; Smolensky and Legendre 2006), quantum information (Widdows and Peters 2003; Aerts and Czachor 2004; Widdows 2004; Van Rijsbergen 2004; Bruza and Cole 2005; Hou and Song 2009), holographic models of memory (Jones and Mewhort 2007), and so on.”
Quantum Structure in Cognition (2008, methodology): “…is that of quantum structures in language, more specifically the entanglement of words in human semantic space, resulting in proposals of possible violations of Bell inequalities (Aerts, Czachor & D’Hooghe, 2006; Bruza, Kitto, Nelson & McEvoy, 2008; Bruza, Kitto, Nelson & McEvoy, 2009).”
Semantic Vector Products: Some Initial Investigations (2008, background): “(See ( van Rijsbergen 2004 ) and also (Widdows 2004, Ch 7).)”
From Frequency to Meaning: Vector Space Models of Semantics (2010, background): “For example, Widdows (2004) and van Rijsbergen (2004) show how disjunction, conjunction, and negation can be represented with vectors, but we do not yet know how to represent arbitrary statements in first-order predicate calculus.”
Encoding word order in complex embeddings (2019, methodology): “Prior work in NLP (Li et al., 2019), Information Retrieval (Van Rijsbergen, 2004) and Machine Learning (Trabelsi et al., 2017) has shown the usefulness of complex numbers as richer representations.”
Category-theoretic quantitative compositional distributional models of natural language semantics (2013, unknown): “used for this branch of physics and those potentially useful for linguistic modelling has been noted by several sources, such as [86, 54, 83].”