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Found 4 papers, 1 papers with code
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News
Specifically, we use bi-directional Recurrent Neural Networks, together with max-pooling over the temporal/sequential dimension and neural attention, for representing (i) the headline, (ii) the first two sentences of the news article, and (iii) the entire news article.
Ranked #4 on
Fake News Detection
on FNC-1
Using Rank Aggregation for Expert Search in Academic Digital Libraries
The task of expert finding has been getting increasing attention in information retrieval literature.
Learning to Rank Academic Experts in the DBLP Dataset
More specifically, this article explores the use of supervised learning to rank methods, as well as rank aggregation approaches, for combing all of the estimators of expertise.
Learning to Rank for Expert Search in Digital Libraries of Academic Publications
The task of expert finding has been getting increasing attention in information retrieval literature.
