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Found 4 papers, 1 papers with code
A Survey On Neural Word Embeddings
The revolutionary idea of distributed representation for a concept is close to the working of a human mind in that the meaning of a word is spread across several neurons, and a loss of activation will only slightly affect the memory retrieval process.
Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims
In this paper, we propose to leverage commonsense knowledge for the tasks of false news classification and check-worthy claim detection.
Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features
Author profiling is the characterization of an author through some key attributes such as gender, age, and language.
A Turkish Dataset for Gender Identification of Twitter Users
With the increasing trend of using Twitter as a means to express thought, profiling the gender of an author from his/her tweets has become a challenge.
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