S-Space Package

A S-Space Package is an open source framework for developing and evaluating word space algorithms.

• Context:
  • It converts a corpus into a word space.
  • It evaluates Document-Based, Co-occurrence, Approximation, and Word Sense Induction Algorithms.
• Example(s):
  • …
• Counter-Example(s):
  • fastText Library.
• See: Token Filtering Task, Stemming Task, Bigramming Task, Lexical Distance, Feature Extraction Task, Word Co-occurence, Joint Probabilitiy, Dimensionality Reduction.

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References

2018

• (Sales et al., 2018) ⇒ Juliano Efson Sales, Leonardo Souza, Siamak Barzegar, Brian Davis, Andre Freitas, and Siegfried Handschuh. (2018). “Indra: A Word Embedding and Semantic Relatedness Server.” In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018).

2010

• (Jurgens & Stevens, 2010) ⇒ David Jurgens, and Keith Stevens. (2010). “The S-Space Package: An Open Source Package for Word Space Models.” In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010) System Demonstrations.

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