Search Results for author: Mohsen Farhadloo

Found 2 papers, 0 papers with code

Measuring Biases of Word Embeddings: What Similarity Measures and Descriptive Statistics to Use?

no code implementations NAACL (TrustNLP) 2021 Hossein Azarpanah, Mohsen Farhadloo

We show that the extent of revealed biases in word embeddings depends on the descriptive statistics and similarity measures used to measure the bias.

Descriptive Word Embeddings

Twitter Sentiment on Affordable Care Act using Score Embedding

no code implementations19 Aug 2019 Mohsen Farhadloo

In this paper we introduce score embedding, a neural network based model to learn interpretable vector representations for words.

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