On the foundations of similarity in information access

Author:

Amigó EnriqueORCID,Giner FernandoORCID,Gonzalo JulioORCID,Verdejo FelisaORCID

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Information Systems

Reference61 articles.

1. Agirre, E., Cer, D., Diab, M., Gonzalez-Agirre, A., & Guo, W. (2013). *sem 2013 shared task: Semantic textual similarity. In Second joint conference on lexical and computational semantics (*SEM), volume 1: Proceedings of the main conference and the shared task: Semantic textual similarity (pp. 32–43). Atlanta, Georgia, USA, June 2013. Association for Computational Linguistics.

2. Aizawa, A. (2003). An information-theoretic perspective of tf–idf measures. Information Processing & Management, 39(1), 45–65.

3. Amigó, E., Fang, H., Mizzaro, S., & Zhai, C. (2018). Are we on the right track? An examination of information retrieval methodologies. In Proceedings of ACM SIGIR’18 (pp. 997–1000).

4. Arora, S., Li, Y., Liang, Y., Ma, T., & Risteski, A. (2016). A latent variable model approach to PMI-based word embeddings. TACL, 4, 385–399.

5. Ashby, E. G., & Perrin, N. A. (1988). Toward a unified theory of similarity and recognition. Psychological Review, 95(1), 124–150.

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