CitiusNLP at SemEval-2018 Task 10: The Use of Transparent Distributional Models and Salient Contexts to Discriminate Word Attributes

Pablo Gamallo

2018 SemEval SemEval 2018

CitiusNLP at SemEval-2018 Task 10: The Use of Transparent Distributional Models and Salient Contexts to Discriminate Word Attributes

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Pablo Gamallo

Topics

Machine Learning > Core Methods > Representation Learning Machine Learning > Learning Types > Self-Supervised Learning Machine Learning > Learning Types > Unsupervised Learning Natural Language Processing > Understanding > Semantic Analysis

Keywords

unsupervised learning distributional semantics word embedding context extraction context analysis salient context

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