Search Results for author:
Found 11 papers, 0 papers with code
A Hierarchical Graph-based Approach for Recognition and Description Generation of Bimanual Actions in Videos
To achieve this, we encode, first, the spatio-temporal inter dependencies between objects and actions with scene graphs and we combine this, in a second step, with a novel 3-level architecture creating a hierarchical attention mechanism using Graph Attention Networks (GATs).
X-CapsNet For Fake News Detection
This model includes a CapsNet with dynamic routing algorithm paralyzed with a size-based classifier for detecting short and long fake news statements.
Explaining Recommendation System Using Counterfactual Textual Explanations
One method for producing a more explainable output is using counterfactual reasoning, which involves altering minimal features to generate a counterfactual item that results in changing the output of the system.
A Semantic Modular Framework for Events Topic Modeling in Social Media
The advancement of social media contributes to the growing amount of content they share frequently.
PQuAD: A Persian Question Answering Dataset
We present Persian Question Answering Dataset (PQuAD), a crowdsourced reading comprehension dataset on Persian Wikipedia articles.
Deep Neural Review Text Interaction for Recommendation Systems
Thus, the problem of recommendation is viewed as a text matching problem such that the matching score obtained from matching user and item texts could be considered as a good representative of their joint extent of similarity.
Neural Relation Prediction for Simple Question Answering over Knowledge Graph
Knowledge graphs are widely used as a typical resource to provide answers to factoid questions.
Text-based Question Answering from Information Retrieval and Deep Neural Network Perspectives: A Survey
Text-based Question Answering (QA) is a challenging task which aims at finding short concrete answers for users' questions.
Detecting Fake News with Capsule Neural Networks
This paper aims to use capsule neural networks in the fake news detection task.
Fine-grained German Sentiment Analysis on Social Media
People express their opinions about various targets via social media and they are also interested to know about other opinions on the same target.
