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Found 6 papers, 2 papers with code
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training
Secondly, we propose a hybrid selection strategy in the extractor, which not only makes full use of span boundary but also improves the ability of long entity recognition.
ArSen-20: A New Benchmark for Arabic Sentiment Detection
Sentiment detection remains a pivotal task in natural language processing, yet its development in Arabic lags due to a scarcity of training materials compared to English.
3rd Place: A Global and Local Dual Retrieval Solution to Facebook AI Image Similarity Challenge
As a basic task of computer vision, image similarity retrieval is facing the challenge of large-scale data and image copy attacks.
RSINet: Rotation-Scale Invariant Network for Online Visual Tracking
Most Siamese network-based trackers perform the tracking process without model update, and cannot learn targetspecific variation adaptively.
Pre-Trained Models for Heterogeneous Information Networks
We propose a self-supervised pre-training and fine-tuning framework, PF-HIN, to capture the features of a heterogeneous information network.
Content-Based Top-N Recommendation using Heterogeneous Relations
In this paper, we propose a content-based top-$N$ recommender system by learning the global term weights in profiles.
