Journey to the center of the words: Word weighting scheme based on the geometry of word embeddings

Author:

Unnam Narendra Babu1,Reddy Krishna2,Pandey Amit2,Manwani Naresh2

Affiliation:

1. DSAC, KCIS, International Institute of Information Technology, Hyderabad, India

2. International Institute of Information Technology, Hyderabad, India

Publisher

ACM

Reference26 articles.

1. Exploring the Privacy-Preserving Properties of Word Embeddings: Algorithmic Validation Study

2. SemEval-2014 Task 10: Multilingual Semantic Textual Similarity

3. Eneko Agirre , Daniel Cer , Mona Diab , and Aitor Gonzalez-Agirre . 2012. Semeval-2012 task 6: A pilot on semantic textual similarity. In * SEM 2012: The first joint conference on lexical and computational semantics–volume 1: Proceedings of the main conference and the shared task, and volume 2 : Proceedings of the sixth international workshop on semantic evaluation (SemEval 2012 ). 385–393. Eneko Agirre, Daniel Cer, Mona Diab, and Aitor Gonzalez-Agirre. 2012. Semeval-2012 task 6: A pilot on semantic textual similarity. In * SEM 2012: The first joint conference on lexical and computational semantics–volume 1: Proceedings of the main conference and the shared task, and volume 2: Proceedings of the sixth international workshop on semantic evaluation (SemEval 2012). 385–393.

4. Second joint conference on lexical and computational semantics (* SEM);Agirre Eneko

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1. Text Representation Models based on the Spatial Distributional Properties of Word Embeddings;Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD);2024-01-04

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