11 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.CL2021
Discrete Cosine Transform as Universal Sentence Encoder
Nada Almarwani, Mona Diab
Modern sentence encoders are used to generate dense vector representations that capture the underlying linguistic characteristics for a sequence of words, including phrases, senten…
cs.CL2019★ 11 cited
Creating a Large Multi-Layered Representational Repository of Linguistic Code Switched Arabic Data
Mona Diab, Mahmoud Ghoneim, Abdelati Hawwari +3
We present our effort to create a large Multi-Layered representational repository of Linguistic Code-Switched Arabic data. The process involves developing clear annotation standard…
cs.CL2019
Efficient Sentence Embedding using Discrete Cosine Transform
Nada Almarwani, Hanan Aldarmaki, Mona Diab
Vector averaging remains one of the most popular sentence embedding methods in spite of its obvious disregard for syntactic structure. While more complex sequential or convolutiona…