5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CL2021★ 5 cited
A Survey On Neural Word Embeddings
Erhan Sezerer, Selma Tekir
Understanding human language has been a sub-challenge on the way of intelligent machines. The study of meaning in natural language processing (NLP) relies on the distributional hyp…
cs.CL2021
Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims
Ipek Baris Schlicht, Erhan Sezerer, Selma Tekir +2
Widespread and rapid dissemination of false news has made fact-checking an indispensable requirement. Given its time-consuming and labor-intensive nature, the task calls for an aut…
cs.CL2019
Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features
Erhan Sezerer, Ozan Polatbilek, Selma Tekir
Author profiling is the characterization of an author through some key attributes such as gender, age, and language. In this paper, a RNN model with Attention (RNNwA) is proposed t…