Neural Text Embeddings for Information Retrieval-Reference-Cited by-同舟云学术

Neural Text Embeddings for Information Retrieval

Published:2017-02-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Tenth ACM International Conference on Web Search and Data Mining
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Author:

Mitra Bhaskar¹,Craswell Nick²

Affiliation:

1. Microsoft, Cambridge, United Kingdom

2. Microsoft, Bellevue, WA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3018661.3022755

Reference41 articles.

1. Latent semantic indexing (LSI) fails for TREC collections

2. D. Bahdanau K. Cho and Y. Bengio. Neural machine translation by jointly learning to align and translate. pharXiv preprint arXiv:1409.0473 2014. D. Bahdanau K. Cho and Y. Bengio. Neural machine translation by jointly learning to align and translate. pharXiv preprint arXiv:1409.0473 2014.

3. D. M. Blei A. Y. Ng and M. I. Jordan. Latent dirichlet allocation. the Journal of machine Learning research 3: 993--1022 2003. D. M. Blei A. Y. Ng and M. I. Jordan. Latent dirichlet allocation. the Journal of machine Learning research 3: 993--1022 2003.

4. N. Craswell W. B. Croft J. Guo B. Mitra and M. de Rijke. Report on the sigir 2016 workshop on neural information retrieval (neu-ir). 2016. N. Craswell W. B. Croft J. Guo B. Mitra and M. de Rijke. Report on the sigir 2016 workshop on neural information retrieval (neu-ir). 2016.

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