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Found 7 papers, 1 papers with code
A Deep Learning Approach for Automatic Detection of Qualitative Features of Lecturing
Artificial Intelligence in higher education opens new possibilities for improving the lecturing process, such as enriching didactic materials, helping in assessing students' works or even providing directions to the teachers on how to enhance the lectures.
ProtagonistTagger -- a Tool for Entity Linkage of Persons in Texts from Various Languages and Domains
Named entities recognition (NER) and disambiguation (NED) can add semantic context to the recognized named entities in texts.
Applying SoftTriple Loss for Supervised Language Model Fine Tuning
We introduce a new loss function TripleEntropy, to improve classification performance for fine-tuning general knowledge pre-trained language models based on cross-entropy and SoftTriple loss.
Multi-modal Embedding Fusion-based Recommender
Contrary to existing recommendation systems, our platform supports multiple types of interaction data with multiple modalities of metadata natively.
A Strong Baseline for Fashion Retrieval with Person Re-Identification Models
As a result, fashion retrieval is an active field of research both in academia and the industry.
Ranked #1 on
Image Retrieval
on Exact Street2Shop
How much should you ask? On the question structure in QA systems
Datasets that boosted state-of-the-art solutions for Question Answering (QA) systems prove that it is possible to ask questions in natural language manner.
Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System
In this paper we present the results of an investigation of the importance of verbs in a deep learning QA system trained on SQuAD dataset.
