Search Results for author: REYHANEH HASHEMPOUR

Found 3 papers, 0 papers with code

Leveraging Contextual Embeddings and Idiom Principle for Detecting Idiomaticity in Potentially Idiomatic Expressions

no code implementations COLING (CogALex) 2020 REYHANEH HASHEMPOUR, Aline Villavicencio

In this work, we leverage the Idiom Principle (Sinclair et al., 1991) and contextualized word embeddings (CWEs), focusing on Context2Vec (Melamud et al., 2016) and BERT (Devlin et al., 2019) to distinguish between literal and idiomatic senses of such expressions in context.

Text Simplification Word Embeddings

Token Level Identification of Multiword Expressions Using Contextual Information

no code implementations WS 2020 REYHANEH HASHEMPOUR, Aline Villavicencio

Studies on detecting idiomatic expressions mostly focus on discovering potentially idiomatic expressions disregarding the context.

Word Embeddings

A Deep Learning Approach to Language-independent Gender Prediction on Twitter

no code implementations WS 2019 REYHANEH HASHEMPOUR

Logistic regression (LR), and feed-forward neural networks (FFNN) with back-propagation were used to build models in two different settings: Inter-Lingual (IL) and Cross-Lingual (CL).

Gender Prediction

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