arXiv Open Access 2014

Looking at Vector Space and Language Models for IR using Density Matrices

Alessandro Sordoni Jian-Yun Nie
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Abstrak

In this work, we conduct a joint analysis of both Vector Space and Language Models for IR using the mathematical framework of Quantum Theory. We shed light on how both models allocate the space of density matrices. A density matrix is shown to be a general representational tool capable of leveraging capabilities of both VSM and LM representations thus paving the way for a new generation of retrieval models. We analyze the possible implications suggested by our findings.

Topik & Kata Kunci

Penulis (2)

A

Alessandro Sordoni

J

Jian-Yun Nie

Format Sitasi

Sordoni, A., Nie, J. (2014). Looking at Vector Space and Language Models for IR using Density Matrices. https://arxiv.org/abs/1401.1732

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2014
Bahasa
en
Sumber Database
arXiv
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Open Access ✓